General Motors LLC

You would resolve complex supplier capacity and logistics issues, assess impacts on vehicle production, and communicate solutions to leadership. | The role requires at least five years of related experience, independent judgment, strong communication, up to 25% travel, and Spanish communication; a bachelor's degree is preferred. | Job Description What You’ll Do: Executes deliverables in support of the supply chain organization's business objectives Guides of one of the key areas within the Global Supply Chain to ensure business objectives are met or exceeded in all areas including customer, quality, service, responsiveness, people, product and financial initiatives. Communicates to all levels of the organization, within the function as well as other functions and suppliers Responsible for supporting relationship management with logistic suppliers and service providers Ability to understand and assess complex supply chain issues and lead teams in a cross functional environment to successfully resolve issues minimizing impacts to vehicle production Assess supplier schedules and impact on vehicle assembly production. Collaborate cross functionally to develop creative solutions. Ability to summarize critical issues with resolutions and communicate to leadership Handle very complex capacity constraint issues to resolution with goal to eliminate potential plant disruptions and reduce premium transportation. Analyze metrics supporting supplier critical issues or sufficiency plan resolution Ability to be flexible and at times work extended and non-core hours to ensure issues are worked to resolution. Your Skills & Abilities (Required Qualifications): 5 years of experience with supply chain, logistics, manufacturing or related ((any internship or co-op experience will not be considered) Exercises independent judgment in managing complex and ambiguous tasks with minimal input from direct leader. Effective communicator with solid oral and written presentation skills. Ability to summarize Must be willing to travel up to 25% Domestically + Internationally This role requires effective communication in Spanish What Will Give You A Competitive Edge (Preferred Qualifications): Deep understanding of Supply Chain functions Bachelors Degree 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). Este puesto se clasifica como híbrido. Esto significa que se espera que el candidato seleccionado se presente en una ubicación específica al menos 3 veces por semana {o con otra frecuencia indicada por su líder}. Este puesto no es elegible para beneficios de reubicación. Los posibles costos de relocalización serán responsabilidad del candidato seleccionado. 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 decididos a liderar el cambio del mundo impulsados por la tecnología, el ingenio y el aprovechamiento de la creatividad que surgen de la diversidad de nuestro equipo. Únase a nosotros para ayudar a liderar el cambio que hará que nuestro mundo sea mejor, más seguro y más equitativo para todos, haciéndose miembro de la Comunidad de Talentos de GM (beamery.com). Como parte de nuestra comunidad de talentos, recibirá actualizaciones sobre GM, puestos vacantes, información sobre carreras y más. Tenga en cuenta que con solo completar el formulario a continuación no se le agregará a nuestra Comunidad de talentos automáticamente, sino que tendrá que usar el enlace de arriba. Si está buscando postularse para un puesto específico, le alentamos a que haga clic en "Solicitar ahora" en la publicación de trabajo de su interés.

Design, build, and maintain scalable microservices and backend services with strong DevOps and observability practices. | Requires 5+ years experience in Java and Spring Boot microservices, cloud platforms (Azure preferred), DevOps, TDD, and strong communication skills. | Job Description The Role We are seeking an experienced and highly motivated Senior Software Engineer to design, build, and optimize the Mobile Backend for Frontend (MBFF) platform and back-office integration services that power GM mobile ownership experiences. This role will focus on building secure, scalable, and resilient microservices using Java and Spring Boot, while advancing modern engineering practices across API development, cloud-native operations, DevOps automation, and observability. The ideal candidate brings strong technical depth in microservices, hands-on cloud engineering experience in Azure, and a practical understanding of how AI-enabled tools can improve engineering productivity and operational insight. This engineer will play a key role in delivering platform capabilities that improve reliability, accelerate delivery, and simplify how mobile applications integrate with GM enterprise systems. What You’ll Do Design, develop, and maintain scalable microservices, REST APIs, GraphQL APIs, and event-driven integrations using Java and Spring Boot. Build secure, reliable, and performant backend services that support mobile application experiences and enterprise workflows. Deploy and operate services on Azure using AKS, API Management, Functions, Cosmos DB, SQL Database, and related cloud-native services. Strengthen DevOps practices by building and maintaining CI/CD pipelines, deployment automation, environment consistency, and release governance using Azure DevOps and Git-based workflows. Improve system observability through metrics, logging, tracing, dashboards, alerting, and service health monitoring using tools such as Datadog, Grafana, Prometheus, Loki, and Azure Monitor. Define, monitor, and continuously improve service reliability through meaningful SLOs, SLAs, and operational health indicators aligned to customer and business expectations. Apply AI-enabled engineering practices to improve developer productivity, code quality, operational insight, anomaly detection, incident triage, and capacity awareness. Use Test-Driven Development (TDD) and strong engineering fundamentals to deliver maintainable, well-tested software with robust unit, integration, and functional test coverage. Partner with product, architecture, security, and dependent engineering teams to deliver solutions aligned to business and customer needs. Mentor engineers on microservices design, API standards, testing strategy, observability, and DevOps best practices. Contribute to architecture documentation, operational runbooks, API documentation, and engineering standards across the team. Additional Job Description Your Skills & Abilities (Required Qualifications) Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience. 5+ years of software engineering experience, including strong hands-on development in Java and Spring Boot. Proven experience designing and building microservices and RESTful APIs in distributed systems. Experience working with cloud platforms, preferably Azure, including containerized deployments and managed services. Strong understanding of DevOps principles, CI/CD pipelines, infrastructure-aware development, and automated deployment practices. Experience with Test-Driven Development (TDD), automated testing frameworks such as JUnit and Mockito, and modern software engineering best practices. Strong experience with SQL databases such as Oracle or PostgreSQL. Strong communication, collaboration, and problem-solving skills with the ability to work effectively across teams. What Will Give You a Competitive Edge (Preferred Qualifications) Experience with GraphQL, WebSockets, and event-driven or asynchronous architecture patterns. Experience with NoSQL technologies such as Cosmos DB or Cassandra. Hands-on experience with Azure services such as AKS, API Management, Functions, Cosmos DB, SQL Database, Azure Monitor, and Application Insights. Exposure to Google Cloud Platform (GCP) is a plus. Experience with observability tooling such as Datadog, Grafana, Prometheus, Loki, OpenTelemetry, or similar monitoring platforms. Practical experience with Docker, Kubernetes, release automation, and production support in cloud-native environments. Experience using AI-assisted development tools and applying AI-driven operational capabilities for log analysis, incident response, anomaly detection, or engineering productivity. Knowledge of security best practices including OAuth2, JWT, secrets management, and API gateway patterns. Familiarity with mobile backend workflows, enterprise integration patterns, and ownership experiences platforms. Experience working in Agile product teams and mentoring engineers through design reviews, code reviews, and delivery execution. Additional Information: 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 Estamos decididos a liderar el cambio del mundo impulsados por la tecnología, el ingenio y el aprovechamiento de la creatividad que surgen de la diversidad de nuestro equipo. Únase a nosotros para ayudar a liderar el cambio que hará que nuestro mundo sea mejor, más seguro y más equitativo para todos, haciéndose miembro de la Comunidad de Talentos de GM (beamery.com). Como parte de nuestra comunidad de talentos, recibirá actualizaciones sobre GM, puestos vacantes, información sobre carreras y más. Tenga en cuenta que con solo completar el formulario a continuación no se le agregará a nuestra Comunidad de talentos automáticamente, sino que tendrá que usar el enlace de arriba. Si está buscando postularse para un puesto específico, le alentamos a que haga clic en "Solicitar ahora" en la publicación de trabajo de su interés.

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.