General Motors LLC

Lead design, development, and maintenance of scalable .NET software systems with AI/LLM integration for HRIS applications. | 8+ years .NET development, leadership experience, AI agentic workflows, Azure, microservices, Angular, and CI/CD expertise. | Job Description The Role: We are seeking an experienced Senior Software Engineer (.NET ) to join our team. In this role, you will lead the design, development, testing, and maintenance of high-performance, scalable, and secure software systems. The ideal candidate will also have hands-on experience with AI agentic workflows, LLM-based automation, retrieval-augmented generation, and intelligent workflow orchestration. You will collaborate with cross-functional teams to deliver innovative solutions that support Human Resources, Communications, and Physical Security IT business applications. What You'll Do: Lead the design, development, and maintenance of full stack solutions using .NET technologies Translate business requirements into effective, scalable, and reliable technical solutions Build AI-powered agents that retrieve context, reason across multiple data sources, recommend actions, and support human-in-the-loop automation Participate in sprint planning, refine stories, and provide accurate estimations for development timeline Deliver clean, maintainable code aligned with best practices and modern design patterns Develop and execute unit test cases with high code coverage Mentor and coach Junior engineers, conduct code and design reviews Troubleshoot complex issues, perform root cause analysis, and implement long-term fixes Support CI/CD workflows and ensure continuous improvement in build and release process Model and foster GM’s core values and behaviors What You'll Need: 8+ years of professional experience in software development with a focus on .NET Core Minimum 3+ years of experience in leading the software engineering team Knowledge of HR/Workday business processes Proven expertise in deploying modern design patterns and building scalable, reusable code Experience building AI/LLM-based applications, preferably with agentic workflows Strong understanding of RAG architecture, embeddings, vector search, prompt design, context retrieval and LLM evaluation Experience with Model Context Protocol (MCP) for integrating AI agents with tools, data sources, and enterprise systems Experience with queuing and background jobs orchestration with .Net hosted services Experience with Azure Infrastructure to deploy, configure and troubleshooting (IaC pipelines, Site Reliability Engineering, DevOps) Ability to develop and deploy microservices on AKS Strong proficiency in Angular for front-end development Experience in building and scaling backend services across hybrid environments (on prem and cloud) Ability to configure docker files for containerization. Maintain ETL pipelines using Azure Synapse to ingest and deliver data to downstream systems. Hands-on experience with RESTful API design and integration services that connect enterprise systems like Workday, Microsoft identity services (Azure AD/ Entra ID, Microsoft Graph) Experience with relational databases such as PostgreSQL and SQL Server, including stored procedures Proficiency in version control systems (Git) and maintain CI/CD pipelines using GitHub actions Experience with Agile methodologies and tools such as Jira and Confluence Excellent problem-solving skills, with an ability to work on complex distributed systems Preferred Skills: Experience with AI agent frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar Orchestration frameworks Familiarity with AI governance, model risk, hallucination mitigation, guardrails, evaluation metrics, and human approval workflows Experience with containerization and orchestration tools (Docker, Kubernetes) 3+ years with Azure Kubernetes Service (AKS) application development Knowledge of .NET framework upgrades and modernization strategies Experience with GitHub actions and CI/CD automation Strong background in Monitoring and Observability practices Experience in Azure Databricks, Data Mesh architecture This job may be eligible for relocation benefits. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com). As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest.

Lead design and development of complex SoC software systems for automotive ADAS applications. | Requires deep C/C++ SoC software experience, embedded Linux/QNX knowledge, system design expertise, and staff-level leadership in embedded systems. | Job Description Job Summary We are seeking a Staff Software Engineer to join our ADAS HMI team within the Interactive Experience platform. In this role, you will define the architecture and technical direction for production software on automotive System-on-Chip (SoC) platforms that powers driver-facing alerts, controls, and situational-awareness experiences. You will also build the next generation of our driver monitoring system from the ground up. You will lead complex, multi-team systems that process ADAS and vehicle data while meeting demanding requirements for latency, reliability, startup time, compute, memory, security, safety, and maintainability. The ideal candidate is a recognized SoC software expert who operates with broad latitude in a complex environment, turns ambiguous cross-domain requirements into practical system designs, and drives critical workstreams from concept through vehicle launch. This role is focused on SoC software; experience building and deploying machine-learning models on resource-constrained edge devices is a strong differentiator. Job Responsibilities Define and evolve end-to-end SoC architecture spanning ADAS data producers, vehicle interfaces, operating-system services, middleware, hardware accelerators, and downstream HMI applications. Architect and build a next-generation driver monitoring system from the ground up, spanning camera and sensor inputs, on-device perception and inference, driver-state interpretation, vehicle interfaces, diagnostics, and HMI integration. Lead the design and development of production SoC applications and services using C/C++, including data processing, state management, inter-process communication, and platform integration. Translate ambiguous product, vehicle, safety, and system requirements into practical cross-domain designs with clear boundaries, interfaces, data flows, timing budgets, diagnostics, failure modes, and validation strategies. Drive architecture reviews and align teams on technical trade-offs involving performance, memory, compute, startup behavior, security, safety, reliability, and long-term maintainability. Own complex multi-team workstreams through design, implementation, integration, performance tuning, vehicle validation, release, launch support, and maintenance. Establish architecture and engineering practices for reliable, low-latency pipelines that collect, normalize, and expose ADAS and vehicle data to multiple on-device consumers. Foresee integration and delivery risks across ADAS algorithm, perception, HMI, platform, systems, safety, and vehicle integration teams; develop mitigation plans and remove critical blockers. Define quality standards and release criteria across related SoC codebases, including code review, static analysis, automated testing, performance benchmarking, observability, and structured release processes. Diagnose and lead resolution of complex cross-system issues involving IPC, scheduling, memory use, concurrency, operating-system behavior, hardware acceleration, and vehicle integration. Develop practical technology roadmaps for SoC services and edge-compute capabilities across vehicle programs and platform generations. Mentor senior and mid-level engineers on SoC architecture, C/C++ development, performance analysis, system debugging, execution discipline, and cross-team technical leadership. Communicate technical direction, risks, trade-offs, and delivery status clearly to senior engineering leadership and cross-functional stakeholders. Job Qualifications Bachelor's degree or Bachelor of Applied Science in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field, with 5–8 years of relevant software engineering experience; or equivalent practical experience with 10–12 years delivering production software. Staff-level experience designing and shipping complex embedded or SoC-based production systems with multi-team scope, broad technical ambiguity, and end-to-end accountability. Deep C/C++ development experience for SoC applications, services, or middleware. Hands-on experience with Embedded Linux, QNX, or a comparable SoC operating environment, including IPC, multithreading, and system resource management. Demonstrated system design expertise across application, middleware, data, operating-system, and hardware boundaries, including interfaces, data flows, state management, failure modes, and validation strategies. Proven ability to own roadmaps, commitments, risks, dependencies, and release quality without day-to-day direction. Experience diagnosing and optimizing complex integrated systems using logs, traces, profilers, memory-analysis tools, performance benchmarks, and automated tests. Strong written and verbal communication skills, including the ability to influence architecture and priority decisions across teams without direct authority. Preferred Skills Experience building, optimizing, and deploying production machine-learning models on edge or embedded devices. Experience with ML frameworks and edge-inference runtimes such as PyTorch, TensorFlow, ONNX Runtime, TensorRT, or comparable technologies. Experience developing driver or occupant monitoring systems, in-cabin computer vision, camera pipelines, or real-time perception software. Experience with SoC hardware accelerators such as GPUs, NPUs, or DSPs and the software stacks used to access them. Experience with automotive middleware and communication technologies such as ROS 2, SOME/IP, DDS, shared memory, or service-oriented IPC. Experience processing perception outputs and sensor data. Familiarity with Yocto, board-support packages, containerized workloads, or embedded platform bring-up. Experience leading architecture reviews, technical readiness reviews, release planning, and production issue triage for safety-relevant or vehicle-integrated software. Familiarity with automotive engineering practices such as ASPICE, ISO 26262 concepts, CI/CD, HIL/SIL validation, and structured release governance. Staff Software Engineer Expectations The successful candidate should already demonstrate Staff Software Engineer behaviors: System Design: Defines novel, cross-domain architecture for complex SoC systems spanning multiple teams. Domain Expertise: Serves as a recognized expert across SoC software, embedded operating systems, vehicle data, performance, and system integration. Accountability: Owns multi-team workstreams and measurable delivery outcomes aligned with vehicle program and business priorities. Execution: Foresees cross-discipline risks, develops mitigation strategies, removes blockers, and de-risks critical delivery paths. Technical Vision: Develops practical technology roadmaps that connect SoC and edge-compute investments to product and business objectives. Leadership: Mentors engineers, influences stakeholders across departments, and raises engineering standards through repeatable practices. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. · The salary range for this role: is $189,300 to $290,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. · Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. · Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com). As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest.

Develop and maintain rendering infrastructure systems integrating GPU-accelerated sensor simulation with autonomous vehicle software stacks. | Requires 5+ years in performance-critical systems software, proficiency in modern C++ and Python, Linux systems programming, and experience in robotics or GPU programming domains. | Job Description Role Overview As a Senior Software Engineer on the Rendering Infrastructure team, you will build the systems that turn a GPU-accelerated, physically-based sensor simulator into a production platform — one that runs reproducibly, at cluster scale, and against production-representative autonomous vehicle interfaces. This is a systems role at the boundary of rendering, simulation, perception, and distributed infrastructure. You will connect the renderer to AV software stacks and compute clusters, reproduce real sensor scheduling and vehicle timing, run many worlds concurrently on a single GPU, and make the runtime start fast and stay cheap across thousands of workers. Your work determines whether closed-loop simulation — the vehicle software in the loop with the renderer, not just offline synthetic data generation — is trustworthy and affordable: whether a run reproduces, whether synthetic sensor feeds arrive with the same timing quirks the real vehicle sees, and how many scenarios we can execute per GPU-hour. We build in modern C++ and Python on Linux, with ROS, PyTorch, CUDA, NVIDIA OptiX, NVIDIA MDL, and OpenUSD. We're looking for someone who enjoys this layer — debugging nondeterminism across a process boundary, cutting cold-start time by changing how a runtime is packaged, and reasoning about GPU memory and IPC in the same conversation. About the Team The Rendering Infrastructure team owns the foundational systems the broader Rendering team builds on top of: asset and scene ingestion, GPU memory and resource management, acceleration structure construction, packaging and deployment, profiling infrastructure, and the core engine abstractions of our physically-based sensor simulation system. We also own how the renderer connects to the AV stack and world simulator, as a library or a service, and how consumers configure it — what it produces, at what fidelity, and how it behaves when something goes wrong. We sit between the rendering algorithms team and everyone who consumes simulated sensor data — perception training, closed-loop validation and reinforcement learning. We care about determinism, throughput per GPU, iteration speed, and infrastructure that stays comprehensible as it scales. Why Join Us? Work on hard systems problems with an unusually clear definition of success — reproducibility, timing fidelity, frames per second per GPU, and worker spin-up time are all measurable, and all of them matter. Own meaningful surface area: the AV stack integration and transport layer, the sensor scheduling and timing model, multi-world rendering on a single GPU, or the runtime deployment and asset delivery path, depending on your strengths. Sit at the center of the simulation stack, where rendering, perception, and infrastructure meet, and see your work used across the organization for perception training, closed-loop simulation, and reinforcement learning. Join a team that pairs rigor — design documents, reproducibility, profiling, and regression testing — with pragmatic engineering and short feedback loops. What You'll Do You will own one or more of the following areas and contribute across the others, depending on your strengths and team priorities. Connect the renderer to AV software stacks and compute clusters — designing low-latency, high-bandwidth transport using ROS/ROS 2, shared-memory IPC, gRPC, and sockets with appropriate serialization formats, and streaming multi-sensor payloads into the autonomous vehicle stack. Integrate the renderer with learned driving models through Gymnasium-style environment APIs — stepping the simulation from Python, exchanging observations and actions efficiently with PyTorch-based models, and preserving deterministic execution while minimizing per-step overhead for eval and training at scale. Integrate the runtime with the cloud and on-premises execution environments used for large-scale closed-loop testing, continuous integration, and perception training pipelines. Improve and validate deterministic execution — establishing the required bit-accurate or frame-deterministic lock-step behavior across the simulation clock, dynamic physics updates, and the ray-traced renderer, and building the tooling that demonstrates a run reproduces to the agreed bar. Reproduce real sensor scheduling and vehicle timing — staggered camera exposures, rolling shutter behavior, LiDAR spin and packet rates, hardware clock drift, and the onboard constraints perception actually operates under, including P95/P99 compute latency, transport lag, and packet drops. Build perturbation mechanisms that inject timing jitter, dropped or out-of-order frames, and calibration drift in both extrinsics and intrinsics, and use them to stress-test downstream perception and sensor fusion robustness in closed-loop runs. Build memory-efficient multi-world and multi-scenario execution inside a single rendering process, using shared geometry and instancing — OptiX IAS/GAS, or the analogous acceleration structure hierarchies in Vulkan/DXR — so concurrent rollouts share static map geometry instead of duplicating it in GPU memory. Optimize GPU memory footprint, scene streaming, and execution scheduling to maximize frames per second per GPU across concurrent simulation workers. Improve runtime deployment and asset delivery — deterministic deployment packages (SquashFS archives, read-only container layers, memory-mapped storage) and low-overhead loaders for OpenUSD scene graphs and NVIDIA MDL materials that work against compressed, read-only filesystems without redundant decompression or copies. Build distributed caches for textures, precompiled OptiX/PTX shader pipelines, and prebuilt acceleration structures to eliminate cold-start compilation and redundant I/O at cluster scale. Profile and reduce disk, network, and memory footprints to cut worker spin-up time, binary payload size, and asset ingestion overhead. Partner with the 3D content and USD pipeline teams to set runtime budgets, automated validation rules, and compression workflows before assets enter deployment. Uphold high standards through technical design documents, code review, reproducibility and performance regression testing, and mentorship of other engineers. What You Must Have Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience. 5+ years of professional software engineering experience, with a substantial portion focused on performance-critical systems software. Production proficiency in modern C++ (C++17/20), including performance optimization, memory management, and clean API and system design in a large codebase, plus working proficiency in Python for tooling and automation. Strong Linux systems programming foundation: multithreading and concurrency, memory management, IPC, and high-throughput data movement, including systems that operate across process and machine boundaries. Depth in at least one of the two domains this role bridges, and the interest to grow into the other: Robotics or autonomous systems — the architecture and integration of perception, planning, or control components, and experience with at least one interface those systems are driven through: real-time middleware (ROS/ROS 2, DDS, custom IPC, or high-rate publish/subscribe) and / or a Gymnasium-style environment API; or GPU programming through a compute or ray tracing API (CUDA, OptiX, Vulkan, DXR, or similar), with a working understanding of GPU memory and execution models. A track record of designing, implementing, and debugging reliable distributed systems, including the nondeterminism and failure modes that come with them. Experience profiling and optimizing real systems, and the instinct to measure before optimizing. Strong communication and collaboration skills, with the ability to work across rendering, simulation, perception, infrastructure, and content pipeline teams. Bonus Points Experience in one or more of the following is helpful; we do not expect any candidate to have all of it. Working knowledge of how autonomous driving perception stacks ingest sensor feeds — sensor scheduling, staggered exposures, rolling shutter, LiDAR packet rates, and onboard compute and transport latency budgets. Experience designing closed-loop simulation edge cases and perturbations: schedule jitter, dropped frames, out-of-order packets, and calibration or extrinsics drift. Experience with batched rendering, multi-viewport rendering, or multi-scenario execution on a single GPU using acceleration structure hierarchies and instancing (OptiX IAS/GAS, Vulkan/DXR TLAS/BLAS). Strength in both domains above rather than one — GPU systems, and robotics or autonomous systems — or practical depth in ray tracing and path tracing specifically (NVIDIA OptiX, Vulkan Ray Tracing, or DirectX Raytracing). Hands-on Linux deployment optimization: SquashFS, loop devices, memory-mapped files, zero-copy loading, container overlay layers, and cold-start reduction across compute nodes. Experience designing high-performance texture and shader caching systems — OptiX disk cache, Vulkan pipeline cache, or PTX distribution. Experience consuming OpenUSD in a C++ runtime and optimizing stage traversal and runtime memory layout. Familiarity with deploying and scaling containerized simulation jobs on cloud platforms (AWS, GCP) or on-premises HPC clusters. Exposure to autonomous vehicle or robotics simulation platforms such as NVIDIA Omniverse, Isaac Sim, DRIVE Sim, Unreal Engine, or custom in-house simulators. Experience supporting reinforcement learning environments or Gymnasium-style simulation interfaces as downstream consumers. Evidence of technical contribution through open-source rendering, simulation, or systems infrastructure work, internal platforms, publications, or other knowledge sharing. Candidate Profile Relevant experience may come from robotics, perception, simulation, rendering and graphics, game engines, HPC, or distributed systems infrastructure. Direct autonomous vehicle experience is not required. Successful candidates will combine strong software engineering fundamentals with practical intuition for sensor data, simulation timing, GPU execution, and distributed runtime environments. Compensation The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $153,200 to $234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Hybrid/Remote This role can be based remotely. *This job may be eligible for relocation benefits if you are interested in relocating to the Bay Area. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com). As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest.

Develop and maintain rendering infrastructure systems integrating GPU-accelerated simulation with autonomous vehicle software stacks. | Requires 5+ years software engineering with modern C++ and Python proficiency, strong Linux systems programming, and experience in robotics or GPU programming domains. | Job Description Role Overview As a Senior Software Engineer on the Rendering Infrastructure team, you will build the systems that turn a GPU-accelerated, physically-based sensor simulator into a production platform — one that runs reproducibly, at cluster scale, and against production-representative autonomous vehicle interfaces. This is a systems role at the boundary of rendering, simulation, perception, and distributed infrastructure. You will connect the renderer to AV software stacks and compute clusters, reproduce real sensor scheduling and vehicle timing, run many worlds concurrently on a single GPU, and make the runtime start fast and stay cheap across thousands of workers. Your work determines whether closed-loop simulation — the vehicle software in the loop with the renderer, not just offline synthetic data generation — is trustworthy and affordable: whether a run reproduces, whether synthetic sensor feeds arrive with the same timing quirks the real vehicle sees, and how many scenarios we can execute per GPU-hour. We build in modern C++ and Python on Linux, with ROS, PyTorch, CUDA, NVIDIA OptiX, NVIDIA MDL, and OpenUSD. We're looking for someone who enjoys this layer — debugging nondeterminism across a process boundary, cutting cold-start time by changing how a runtime is packaged, and reasoning about GPU memory and IPC in the same conversation. About the Team The Rendering Infrastructure team owns the foundational systems the broader Rendering team builds on top of: asset and scene ingestion, GPU memory and resource management, acceleration structure construction, packaging and deployment, profiling infrastructure, and the core engine abstractions of our physically-based sensor simulation system. We also own how the renderer connects to the AV stack and world simulator, as a library or a service, and how consumers configure it — what it produces, at what fidelity, and how it behaves when something goes wrong. We sit between the rendering algorithms team and everyone who consumes simulated sensor data — perception training, closed-loop validation and reinforcement learning. We care about determinism, throughput per GPU, iteration speed, and infrastructure that stays comprehensible as it scales. Why Join Us? Work on hard systems problems with an unusually clear definition of success — reproducibility, timing fidelity, frames per second per GPU, and worker spin-up time are all measurable, and all of them matter. Own meaningful surface area: the AV stack integration and transport layer, the sensor scheduling and timing model, multi-world rendering on a single GPU, or the runtime deployment and asset delivery path, depending on your strengths. Sit at the center of the simulation stack, where rendering, perception, and infrastructure meet, and see your work used across the organization for perception training, closed-loop simulation, and reinforcement learning. Join a team that pairs rigor — design documents, reproducibility, profiling, and regression testing — with pragmatic engineering and short feedback loops. What You'll Do You will own one or more of the following areas and contribute across the others, depending on your strengths and team priorities. Connect the renderer to AV software stacks and compute clusters — designing low-latency, high-bandwidth transport using ROS/ROS 2, shared-memory IPC, gRPC, and sockets with appropriate serialization formats, and streaming multi-sensor payloads into the autonomous vehicle stack. Integrate the renderer with learned driving models through Gymnasium-style environment APIs — stepping the simulation from Python, exchanging observations and actions efficiently with PyTorch-based models, and preserving deterministic execution while minimizing per-step overhead for eval and training at scale. Integrate the runtime with the cloud and on-premises execution environments used for large-scale closed-loop testing, continuous integration, and perception training pipelines. Improve and validate deterministic execution — establishing the required bit-accurate or frame-deterministic lock-step behavior across the simulation clock, dynamic physics updates, and the ray-traced renderer, and building the tooling that demonstrates a run reproduces to the agreed bar. Reproduce real sensor scheduling and vehicle timing — staggered camera exposures, rolling shutter behavior, LiDAR spin and packet rates, hardware clock drift, and the onboard constraints perception actually operates under, including P95/P99 compute latency, transport lag, and packet drops. Build perturbation mechanisms that inject timing jitter, dropped or out-of-order frames, and calibration drift in both extrinsics and intrinsics, and use them to stress-test downstream perception and sensor fusion robustness in closed-loop runs. Build memory-efficient multi-world and multi-scenario execution inside a single rendering process, using shared geometry and instancing — OptiX IAS/GAS, or the analogous acceleration structure hierarchies in Vulkan/DXR — so concurrent rollouts share static map geometry instead of duplicating it in GPU memory. Optimize GPU memory footprint, scene streaming, and execution scheduling to maximize frames per second per GPU across concurrent simulation workers. Improve runtime deployment and asset delivery — deterministic deployment packages (SquashFS archives, read-only container layers, memory-mapped storage) and low-overhead loaders for OpenUSD scene graphs and NVIDIA MDL materials that work against compressed, read-only filesystems without redundant decompression or copies. Build distributed caches for textures, precompiled OptiX/PTX shader pipelines, and prebuilt acceleration structures to eliminate cold-start compilation and redundant I/O at cluster scale. Profile and reduce disk, network, and memory footprints to cut worker spin-up time, binary payload size, and asset ingestion overhead. Partner with the 3D content and USD pipeline teams to set runtime budgets, automated validation rules, and compression workflows before assets enter deployment. Uphold high standards through technical design documents, code review, reproducibility and performance regression testing, and mentorship of other engineers. What You Must Have Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience. 5+ years of professional software engineering experience, with a substantial portion focused on performance-critical systems software. Production proficiency in modern C++ (C++17/20), including performance optimization, memory management, and clean API and system design in a large codebase, plus working proficiency in Python for tooling and automation. Strong Linux systems programming foundation: multithreading and concurrency, memory management, IPC, and high-throughput data movement, including systems that operate across process and machine boundaries. Depth in at least one of the two domains this role bridges, and the interest to grow into the other: Robotics or autonomous systems — the architecture and integration of perception, planning, or control components, and experience with at least one interface those systems are driven through: real-time middleware (ROS/ROS 2, DDS, custom IPC, or high-rate publish/subscribe) and / or a Gymnasium-style environment API; or GPU programming through a compute or ray tracing API (CUDA, OptiX, Vulkan, DXR, or similar), with a working understanding of GPU memory and execution models. A track record of designing, implementing, and debugging reliable distributed systems, including the nondeterminism and failure modes that come with them. Experience profiling and optimizing real systems, and the instinct to measure before optimizing. Strong communication and collaboration skills, with the ability to work across rendering, simulation, perception, infrastructure, and content pipeline teams. Bonus Points Experience in one or more of the following is helpful; we do not expect any candidate to have all of it. Working knowledge of how autonomous driving perception stacks ingest sensor feeds — sensor scheduling, staggered exposures, rolling shutter, LiDAR packet rates, and onboard compute and transport latency budgets. Experience designing closed-loop simulation edge cases and perturbations: schedule jitter, dropped frames, out-of-order packets, and calibration or extrinsics drift. Experience with batched rendering, multi-viewport rendering, or multi-scenario execution on a single GPU using acceleration structure hierarchies and instancing (OptiX IAS/GAS, Vulkan/DXR TLAS/BLAS). Strength in both domains above rather than one — GPU systems, and robotics or autonomous systems — or practical depth in ray tracing and path tracing specifically (NVIDIA OptiX, Vulkan Ray Tracing, or DirectX Raytracing). Hands-on Linux deployment optimization: SquashFS, loop devices, memory-mapped files, zero-copy loading, container overlay layers, and cold-start reduction across compute nodes. Experience designing high-performance texture and shader caching systems — OptiX disk cache, Vulkan pipeline cache, or PTX distribution. Experience consuming OpenUSD in a C++ runtime and optimizing stage traversal and runtime memory layout. Familiarity with deploying and scaling containerized simulation jobs on cloud platforms (AWS, GCP) or on-premises HPC clusters. Exposure to autonomous vehicle or robotics simulation platforms such as NVIDIA Omniverse, Isaac Sim, DRIVE Sim, Unreal Engine, or custom in-house simulators. Experience supporting reinforcement learning environments or Gymnasium-style simulation interfaces as downstream consumers. Evidence of technical contribution through open-source rendering, simulation, or systems infrastructure work, internal platforms, publications, or other knowledge sharing. Candidate Profile Relevant experience may come from robotics, perception, simulation, rendering and graphics, game engines, HPC, or distributed systems infrastructure. Direct autonomous vehicle experience is not required. Successful candidates will combine strong software engineering fundamentals with practical intuition for sensor data, simulation timing, GPU execution, and distributed runtime environments. Compensation The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $153,200 to $234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Hybrid/Remote This role can be based remotely. *This job may be eligible for relocation benefits if you are interested in relocating to the Bay Area. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com). As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest.

Lead systems engineering efforts for autonomous vehicle platform integration and validation. | 3+ years systems engineering experience with embedded/real-time systems and strong communication skills. | Job Description About the Role   Join us in shaping the future of mobility at General Motors, where innovation drives everything we do. Our team is building next-generation autonomous platforms — the compute, communications, sensors, and platform software that bring AV vehicles to life safely and at scale.  Why This Role Matters Autonomous systems rely on seamless integration of sensors and embedded compute platforms. Your work will directly influence reliability, performance, and safety, impacting millions of customers and setting industry benchmarks.  As a Senior Systems Engineer, you will be at the heart of this transformation—leading systems engineering efforts that ensure seamless integration of sensors and compute platforms. This role combines technical depth with collaboration, giving you the opportunity to influence subsystem design, optimize performance, and contribute to the reliability and safety of cutting-edge autonomous technologies. You’ll work alongside world-class engineers in a fast-paced, mission-driven environment where your ideas matter and your impact is real.  What you’ll be doing (Responsibilities)   Lead systems engineering for core AV platform capabilities -- from requirements through integration and validation. Own system and subsystem-level strategy and influence platform-wide decisions.  Author and maintain requirements, interface definitions, and technical specifications with clear traceability through validation and release. Lead system and architecture reviews, ensuring designs meet functional, performance, and reliability requirements for embedded AV platforms. Collaborate cross-functionally across hardware, software development, and verification teams to ensure cohesive system design and seamless integration. Mentor junior engineers and help evolve our systems engineering practices for autonomous platforms. Communicate technical concepts effectively to stakeholders at all levels.    Your Skills & Abilities (Required Qualifications)      3+ years of experience in systems engineering, with demonstrated ownership of complex, safety‑critical systems. Bachelor’s degree in relevant field or relevant work experience.  Experience in one or more of the following platform domains: embedded/real-time OS and containerization; distributed middleware, orchestration, and runtime; low-level SoC/MCU diagnostics and drivers; functional safety island and on-SoC safety monitors; platform health and fault management; sensor data pipelines; service-oriented vehicle communications (e.g., SOME/IP); or on-vehicle logging and data offload. Excellent communication skills. Demonstrated ability to work effectively through high-ambiguity problems in cross-disciplinary teams. Experience authoring and maintaining system/software requirements and interface definitions. What Will Give You A Competitive Edge (Preferred Qualifications)  5+ years of experience in systems engineering and/or embedded systems. Experience with functional safety frameworks (ISO 26262, fault detection/maturation/escalation) at the platform layer. Ability to read/understand source code (C/C++) and system models. Experience working with Ethernet-based automotive networks (e.g., Automotive Ethernet, TSN). Prior experience at a leading AV company or tier 1 automotive supplier. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington Compensation: The expected base compensation for this role is: $153,200 - $234,200 Actual base compensation within the identified range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays. #LI-EL1 This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com). As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest.

Lead systems engineering for core autonomous vehicle platform capabilities including requirements, integration, and validation. | 3+ years systems engineering in safety-critical embedded systems, with experience in platform domains like embedded OS, middleware, SoC diagnostics, and functional safety. | Job Description About the Role   Join us in shaping the future of mobility at General Motors, where innovation drives everything we do. Our team is building next-generation autonomous platforms — the compute, communications, sensors, and platform software that bring AV vehicles to life safely and at scale.  Why This Role Matters Autonomous systems rely on seamless integration of sensors and embedded compute platforms. Your work will directly influence reliability, performance, and safety, impacting millions of customers and setting industry benchmarks.  As a Senior Systems Engineer, you will be at the heart of this transformation—leading systems engineering efforts that ensure seamless integration of sensors and compute platforms. This role combines technical depth with collaboration, giving you the opportunity to influence subsystem design, optimize performance, and contribute to the reliability and safety of cutting-edge autonomous technologies. You’ll work alongside world-class engineers in a fast-paced, mission-driven environment where your ideas matter and your impact is real.  What you’ll be doing (Responsibilities)   Lead systems engineering for core AV platform capabilities -- from requirements through integration and validation. Own system and subsystem-level strategy and influence platform-wide decisions.  Author and maintain requirements, interface definitions, and technical specifications with clear traceability through validation and release. Lead system and architecture reviews, ensuring designs meet functional, performance, and reliability requirements for embedded AV platforms. Collaborate cross-functionally across hardware, software development, and verification teams to ensure cohesive system design and seamless integration. Mentor junior engineers and help evolve our systems engineering practices for autonomous platforms. Communicate technical concepts effectively to stakeholders at all levels.    Your Skills & Abilities (Required Qualifications)      3+ years of experience in systems engineering, with demonstrated ownership of complex, safety‑critical systems. Bachelor’s degree in relevant field or relevant work experience.  Experience in one or more of the following platform domains: embedded/real-time OS and containerization; distributed middleware, orchestration, and runtime; low-level SoC/MCU diagnostics and drivers; functional safety island and on-SoC safety monitors; platform health and fault management; sensor data pipelines; service-oriented vehicle communications (e.g., SOME/IP); or on-vehicle logging and data offload. Excellent communication skills. Demonstrated ability to work effectively through high-ambiguity problems in cross-disciplinary teams. Experience authoring and maintaining system/software requirements and interface definitions. What Will Give You A Competitive Edge (Preferred Qualifications)  5+ years of experience in systems engineering and/or embedded systems. Experience with functional safety frameworks (ISO 26262, fault detection/maturation/escalation) at the platform layer. Ability to read/understand source code (C/C++) and system models. Experience working with Ethernet-based automotive networks (e.g., Automotive Ethernet, TSN). Prior experience at a leading AV company or tier 1 automotive supplier. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington Compensation: The expected base compensation for this role is: $153,200 - $234,200 Actual base compensation within the identified range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays. #LI-EL1 This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com). As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest.

Lead systems engineering for autonomous vehicle platform capabilities including requirements, integration, and validation. | 3+ years systems engineering in safety-critical systems, embedded platform experience, excellent communication, and cross-disciplinary collaboration. | Job Description About the Role   Join us in shaping the future of mobility at General Motors, where innovation drives everything we do. Our team is building next-generation autonomous platforms — the compute, communications, sensors, and platform software that bring AV vehicles to life safely and at scale.  Why This Role Matters Autonomous systems rely on seamless integration of sensors and embedded compute platforms. Your work will directly influence reliability, performance, and safety, impacting millions of customers and setting industry benchmarks.  As a Senior Systems Engineer, you will be at the heart of this transformation—leading systems engineering efforts that ensure seamless integration of sensors and compute platforms. This role combines technical depth with collaboration, giving you the opportunity to influence subsystem design, optimize performance, and contribute to the reliability and safety of cutting-edge autonomous technologies. You’ll work alongside world-class engineers in a fast-paced, mission-driven environment where your ideas matter and your impact is real.  What you’ll be doing (Responsibilities)   Lead systems engineering for core AV platform capabilities -- from requirements through integration and validation. Own system and subsystem-level strategy and influence platform-wide decisions.  Author and maintain requirements, interface definitions, and technical specifications with clear traceability through validation and release. Lead system and architecture reviews, ensuring designs meet functional, performance, and reliability requirements for embedded AV platforms. Collaborate cross-functionally across hardware, software development, and verification teams to ensure cohesive system design and seamless integration. Mentor junior engineers and help evolve our systems engineering practices for autonomous platforms. Communicate technical concepts effectively to stakeholders at all levels.    Your Skills & Abilities (Required Qualifications)      3+ years of experience in systems engineering, with demonstrated ownership of complex, safety‑critical systems. Bachelor’s degree in relevant field or relevant work experience.  Experience in one or more of the following platform domains: embedded/real-time OS and containerization; distributed middleware, orchestration, and runtime; low-level SoC/MCU diagnostics and drivers; functional safety island and on-SoC safety monitors; platform health and fault management; sensor data pipelines; service-oriented vehicle communications (e.g., SOME/IP); or on-vehicle logging and data offload. Excellent communication skills. Demonstrated ability to work effectively through high-ambiguity problems in cross-disciplinary teams. Experience authoring and maintaining system/software requirements and interface definitions. What Will Give You A Competitive Edge (Preferred Qualifications)  5+ years of experience in systems engineering and/or embedded systems. Experience with functional safety frameworks (ISO 26262, fault detection/maturation/escalation) at the platform layer. Ability to read/understand source code (C/C++) and system models. Experience working with Ethernet-based automotive networks (e.g., Automotive Ethernet, TSN). Prior experience at a leading AV company or tier 1 automotive supplier. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington Compensation: The expected base compensation for this role is: $153,200 - $234,200 Actual base compensation within the identified range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays. #LI-EL1 This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com). As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest.

Lead systems engineering for autonomous vehicle platform capabilities from requirements through integration and validation. | 3+ years systems engineering experience with embedded or safety-critical systems, excellent communication, and ability to author requirements. | Job Description About the Role   Join us in shaping the future of mobility at General Motors, where innovation drives everything we do. Our team is building next-generation autonomous platforms — the compute, communications, sensors, and platform software that bring AV vehicles to life safely and at scale.  Why This Role Matters Autonomous systems rely on seamless integration of sensors and embedded compute platforms. Your work will directly influence reliability, performance, and safety, impacting millions of customers and setting industry benchmarks.  As a Senior Systems Engineer, you will be at the heart of this transformation—leading systems engineering efforts that ensure seamless integration of sensors and compute platforms. This role combines technical depth with collaboration, giving you the opportunity to influence subsystem design, optimize performance, and contribute to the reliability and safety of cutting-edge autonomous technologies. You’ll work alongside world-class engineers in a fast-paced, mission-driven environment where your ideas matter and your impact is real.  What you’ll be doing (Responsibilities)   Lead systems engineering for core AV platform capabilities -- from requirements through integration and validation. Own system and subsystem-level strategy and influence platform-wide decisions.  Author and maintain requirements, interface definitions, and technical specifications with clear traceability through validation and release. Lead system and architecture reviews, ensuring designs meet functional, performance, and reliability requirements for embedded AV platforms. Collaborate cross-functionally across hardware, software development, and verification teams to ensure cohesive system design and seamless integration. Mentor junior engineers and help evolve our systems engineering practices for autonomous platforms. Communicate technical concepts effectively to stakeholders at all levels.    Your Skills & Abilities (Required Qualifications)      3+ years of experience in systems engineering, with demonstrated ownership of complex, safety‑critical systems. Bachelor’s degree in relevant field or relevant work experience.  Experience in one or more of the following platform domains: embedded/real-time OS and containerization; distributed middleware, orchestration, and runtime; low-level SoC/MCU diagnostics and drivers; functional safety island and on-SoC safety monitors; platform health and fault management; sensor data pipelines; service-oriented vehicle communications (e.g., SOME/IP); or on-vehicle logging and data offload. Excellent communication skills. Demonstrated ability to work effectively through high-ambiguity problems in cross-disciplinary teams. Experience authoring and maintaining system/software requirements and interface definitions. What Will Give You A Competitive Edge (Preferred Qualifications)  5+ years of experience in systems engineering and/or embedded systems. Experience with functional safety frameworks (ISO 26262, fault detection/maturation/escalation) at the platform layer. Ability to read/understand source code (C/C++) and system models. Experience working with Ethernet-based automotive networks (e.g., Automotive Ethernet, TSN). Prior experience at a leading AV company or tier 1 automotive supplier. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington Compensation: The expected base compensation for this role is: $153,200 - $234,200 Actual base compensation within the identified range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays. #LI-EL1 This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com). As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest.

Manage global sourcing activities for PCBA/SMT components including strategy, supplier relationships, and procurement processes. | Requires 2+ years in purchasing or supply chain with competencies in data analysis, communication, negotiation, and supplier management. | Job Description This role is based remotely but if you live within a 50-mile radius of Warren, Michigan, you are expected to report to that location three times a week, at minimum. As a Global Sourcing Manager – PCBA/SMT, you will be part of developing effective PCBA supply chains to support our fast-growing electronics and software needs. The ideal candidate will be comfortable operating autonomously, solving problems independently, and prioritizing tasks that maximize enterprise value for General Motors and the Global Purchasing and Supply Chain (GPSC) function: Responsible for maintaining sourcing pipeline, benchmarking data, strategy presentations, global budget, and on-time metrics Adhere to corporate and departmental purchasing and accounting practices and procedures Sourcing and contracting activities that include, but are not limited to: Sourcing strategy, bid list development & management Quote analysis and review Coordination and alignment of RFQ package components, including Terms & Conditions, SOR compliance, technical documentation and quality alignment Leadership sourcing recommendation and alignment with cross-functional teams Management of sourcing documentation related to RFQ process in adherence to the GM Audit Services requirements Support direct material budget activities Lead/Support supplier relationship management initiatives, including “Strategic Supplier Engagement” and nurture relationship with suppliers by acting as a focal point for commercial issue resolution Perform change management activities Lead or represent the purchasing function in supplier KPI reviews Represent purchasing and support mitigation of supply chain disruptions Promote GM’s behaviors and values and make customer-focused decisions Skills & Abilities (Required Qualifications) 2+ years relevant work experience in purchasing, supply chain, program/product management, logistics or product development (any internship or co-op experience will not be considered) Demonstrates ability to execute with direction or support in the following competencies: Data Judgement – Competency using automated tools, ability to objectively analyze data and draw meaningful conclusions Informative Communication - Ability to communicate relevant information to the appropriate audience both effectively and timely Relationship Management - Develops and maintains constructive, cooperative working relationships     At a minimum, has an emerging ability showcasing understanding of the process and willingness to learn and apply knowledge in the following competencies: Negotiation - engage in collaborative discussions to reach meaningful agreements Analytical Thinking - Consider various factors in decision making to determine solutions and their impacts Results Focus - Take charge without prompting, seize opportunities and deliver on time Workload Management - Manage multiple tasks with quality; prioritize by critical needs Ability to travel 5-10% Domestically + Internationally What Can Give You a Competitive Edge (Preferred Qualifications): Bachelor's degree in Business, Supply Chain Management, Finance, related field Experience with commodities (SMT line purchasing, PCB and/or PCBAs) Experience with SMT Capacity/Utilization Forecasting Experience with Supply Chain / Procurement of all Electronic Components associated with SMT operation Cost analysis or manufacturing experience Automotive industry experience Knowledge of Capacity and Materials Management Capable of drawing conclusions from complex data, market trends and the regulatory environment Ability to understand basic engineering documents and technical drivers for the applicable commodities Knowledge of contract law as it applies to the purchasing processes Compensation: The salary range for this role is $80-700 – 109,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com). As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest.

Lead and optimize global security operations center, intelligence, and incident management capabilities. | 7+ years progressive security experience with 5+ years leadership, strong knowledge of global threat intelligence, and ability to manage 24/7 operations. | Job Description Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum. Position Summary The Global Security Operations and Intelligence Manager is a key leadership role within GM Global Security, responsible for integrating global security operations, intelligence, and incident management into a unified, high-performing capability. Reporting to the Senior Manager, Intelligence, Investigations and Incident Management, this role is responsible for building, scaling, and optimizing GM’s Global Security Operations Center (GSOC) and maturing the enterprise’s intelligence and incident management capabilities. This position is based in Warren, MI. Key Responsibilities GSOC Leadership and Incident Management Lead the development, scale-up, and ongoing optimization of the Global Security Operations Center (GSOC) to support a resilient, globally integrated operating model. Establish 24/7 global capability for threat monitoring, incident detection, escalation, and coordinated response across the enterprise. Refine and govern GSOC operating standards, escalation thresholds, and response playbooks to drive consistency, quality, and alignment with enterprise risk priorities. Oversee day-to-day operational effectiveness of the GSOC through performance metrics, staffing models, training programs, and enabling technologies that support operational resilience. Ensure delivery of high-quality incident documentation, timely leadership notifications, and clear situational awareness reporting during emerging and active events. Drive continuous improvement in incident management processes, workflows, and tools to enhance speed, clarity, coordination, and decision support. Partner across Global Security and key business stakeholders to strengthen crisis readiness, response integration, and post-incident learning. Intelligence and Threat Analysis Lead and continuously enhance global intelligence and risk assessment capabilities supporting travel security, site operations, executive protection, and broader business priorities. Create seamless integration between Intelligence and Security Operations functions to ensure threat insights drive timely decisions, coordinated response, and effective risk mitigation. Translate intelligence reporting into clear, actionable advisories, risk mitigation strategies, and decision support for senior leadership and key business partners. Elevate intelligence products and services to better meet business needs by improving relevance, usability, responsiveness, and alignment with stakeholder priorities. Deliver executive briefings that clearly define threat implications, business impact, and recommended courses of action. Integrate closely with Protective Services to deliver tailored intelligence support for executives, including travel risk, event security, and protective investigations. Establish high standards for analytic rigor, relevance, and responsiveness to strengthen enterprise decision-making and operational preparedness. Vendor and Program Governance Oversee vendor strategy, performance, and governance for GSOC and intelligence-related services, ensuring accountability, service quality, and alignment to business requirements. Enforce adherence to key performance indicators, service level agreements, and contractual expectations through structured oversight and performance management. Identify opportunities to strengthen capability, efficiency, scalability, and resilience through process improvement, technology enablement, and external partnerships. Support strategic planning, roadmap development, and investment prioritization for GSOC and intelligence capabilities. Leadership Expectations Operate as leader by balancing strategic direction with strong operational execution. Influence across functions and levels of the organization to drive alignment, accountability, and timely action. Exercise sound judgment in ambiguous, time-sensitive, and high-consequence situations. Build trust and credibility through clear communication, disciplined follow-through, and effective stakeholder engagement. Foster a culture of resilience, continuous improvement, and high performance within both internal teams and external partners. Required Qualifications 7+ years of progressive experience in corporate security, intelligence, investigations, law enforcement, military, or government with at least 5 years in a leadership or management role. Bachelor’s degree or equivalent professional experience in security, intelligence, criminal justice, international affairs, emergency management, risk management, or a related field. Experience leading or maturing 24/7 operations, incident escalation frameworks, and cross-functional response processes. Demonstrated ability to build and govern operating standards, response playbooks, metrics, and performance management processes. Strong knowledge of global threat trends and intelligence practices, including the ability to convert analysis into practical business guidance. Experience leading external vendors and holding partners accountable to performance expectations and service outcomes. Excellent written and verbal communication skills, including executive-level briefing and reporting capability. Proven ability to lead through influence, manage competing priorities, and deliver results in a complex global environment. Preferred Qualifications Experience standing up or transforming a GSOC, fusion center, or similar operational capability. Experience supporting executive protection, travel risk management, or crisis response programs. Familiarity with intelligence platforms, case management tools, incident management systems, and security technologies that enable monitoring and response. Experience in a large, matrixed, global organization. GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. The selected candidate will be required to travel <25% for this role. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com). As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest.

Lead responsible sourcing strategy and supplier compliance across global supply chains. | 10+ years in supply chain or related fields with leadership experience and strong compliance and supplier management skills. | Job Description The Role: As the Global Senior Manager of Responsible Supply Chain Sourcing, you will lead the development and execution of the responsible sourcing program across direct and indirect supply chains. In this role, you will help strengthen sourcing practices, support business continuity, and promote clear standards for supplier performance across the supplier lifecycle. Working cross-functionally across the business, you will help embed responsible sourcing expectations into supplier selection, contracting, performance management, and continuous improvement. This role also has a strong compliance focus, driving adherence to global regulatory requirements and this individual will help translate policy and regulatory expectations into practical processes, controls, and supplier-facing requirements, while partnering across the organization to monitor compliance, address risks, and drive resolution of issues. What You’ll Do (Responsibilities): Own and evolve the Responsible Sourcing strategy, roadmap, and governance, including policies, standards, and procedures aligned to the Supplier Code of Conduct and applicable regulations. Lead supplier due diligence and risk assessment processes (e.g., country/commodity risk, supplier risk screening, conflict minerals/critical minerals, human rights, and other similar risk areas) and define risk-based mitigation actions. Plan and manage supplier assessments and audits (desktop and/or on-site) in collaboration with third parties and internal stakeholders; track findings, corrective action plans (CAPs), and verification of closure. Build trust and partnerships – Partner internally with Purchasing and Legal to integrate responsible sourcing requirements into sourcing packages, supplier onboarding, contracts, and supplier performance management (including training and communications). Actively lead engagement with external industry partners. Develop and maintain program metrics, dashboards, and management reporting; prepare leadership updates and support external reporting needs (e.g., customer requests, sustainability reporting, regulatory submissions). Provide clear and timely updates to senior leadership Support and deploy innovative supply chain risk management solutions within your area. Develop talent and organizational capability, including day-to-day coaching, performance management, and career development for team members, ensuring alignment with GM values and behaviors. Top candidates will demonstrate: Deep expertise in Supply Chain, Procurement, Compliance, Sustainability/ESG, and/or Responsible Sourcing, with a track record of leading complex, cross-functional initiatives or projects and driving measurable improvements within their function. Knowledge of responsible sourcing and human rights due diligence concepts (risk assessment, supplier engagement, audits/assessments, corrective action, and continuous improvement), including familiarity with common frameworks and expectations (e.g., OECD Due Diligence Guidance, Supplier Codes of Conduct) Advanced communication and storytelling skills, including the ability to create executive-ready materials that translate complex concepts and data into clear, compelling insights. Strong customer-centric leadership, with the ability to listen to the voice of the customer, influence stakeholders at multiple levels, and effectively teach and coach others. Strong analytical and problem-solving skills; able to interpret risk data, prioritize actions, and drive timely remediation in a dynamic environment Strategic orientation and learning agility, with the ability to quickly adapt to new information, environments, and priorities while constructively challenging the status quo within their scope. Proven people leadership, including mentoring, motivating, and eliciting high performance from direct reports and cross-functional partners. Your Skills & Abilities (Required Qualifications) Bachelor’s degree required 10+ years of experience in Supply Chain, Procurement, Compliance, Sustainability/ESG, and/or Responsible Sourcing. Proven track record of people leadership experience directly leading teams with a minimum of 4-5 people, driving results, and personal accountability with oneself and team   Proven negotiation, supplier management, and analytical skills applied to complex, high-impact business decisions. Demonstrated success operating in a multi-stakeholder environment, setting expectations, aligning stakeholders, and following through on commitments. Strong project/program management capability, driving initiatives to completion under tight deadlines and competing priorities. Strong verbal and written communication, with the ability to distill complex issues into clear, concise messages for diverse audiences. Strong interpersonal and collaboration skills, with a track record of leading and influencing cross-functional and global teams. High comfort with ambiguity and autonomy, making sound decisions with incomplete information and appropriate escalation. Strong drive for results and change leadership, effectively leading others through challenges to deliver measurable outcomes. Demonstrated continuous improvement and innovation mindset, consistently challenging and improving processes within their scope. Proven people leadership skills, including performance management, coaching, feedback, and talent development. Ability to travel 10–20% of the time, domestically and internationally. Preferred Qualifications (What Gives You a Competitive Edge) Experience with supplier risk tools, audit platforms, or sustainability data systems; strong Excel/data analysis skills Experience with commodities (aluminum, minerals, metals, resins, stampings, castings, plastics, electronics, etc.) Experience supporting responsible sourcing topics such as human rights due diligence, conflict minerals/critical minerals reporting, deforestation, or greenhouse gas/supplier decarbonization initiatives Exposure or experience in the mining industry. Strong facilitation and training skills, including the ability to create clear guidance and deliver supplier/internal trainings Familiarity with multi-tier supply chains and traceability approaches; capable of interpreting market, geo-political, and regulatory signals and translating them into sourcing risk actions Lead with courage and expertise – bring passion for responsible sourcing, sufficient subject-matter depth, and the ability to have hard conversations. GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). Esta função é classificada como híbrida. Isso significa que o candidato selecionado deverá trabalhar no escritório/fábrica da GM pelo menos 3 vezes por semana {ou outra frequência ditada por seu gerente}. O candidato selecionado deverá viajar <25% para esta função. Esta posição pode ser elegível para benefícios de relocação. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations Estamos determinados a liderar a mudança para o mundo por meio da tecnologia, da engenhosidade e do aproveitamento da criatividade de nossa equipe diversificada. Junte-se a nós para ajudar a liderar a mudança que tornará nosso mundo melhor, mais seguro e mais igualitário para todos, tornando-se membro da Comunidade de Talentos da GM (beamery.com). Como parte da nossa Comunidade de Talentos, você receberá atualizações sobre a GM, cargos abertos, reflexões sobre carreira e muito mais. Observe que preencher o formulário abaixo não adiciona você à nossa Comunidade de Talentos automaticamente; você precisará usar o link acima. Se a sua intenção for candidatar-se a uma função específica, nós o incentivamos a clicar em "Aplicar agora" no anúncio da vaga do seu interesse.