NVIDIA

Lead technical customer engagements and support deployment of large-scale GPU infrastructure in public sector. | 6+ years in solution engineering or similar, experience with high performance networking, GPU acceleration, and customer-facing roles. | NVIDIA is looking for a Senior AI Infrastructure Solutions Architect to join its Public Sector Continuous Bring Up team This person will be passionate about crafting an entire market and serving Public Sector customers during the AI transformation. The ideal candidate will have a strong technical background in accelerated computing technology and artificial intelligence. They will apply these skills to support government programs within the Public Sector market. They will collaborate closely with product, engineering, and customers to accelerate NVIDIA technology in the design to deployment of large-scale GPU infrastructure. A successful candidate will demonstrate skill in transcending boundaries, working effectively with product teams, account managers, field organization, and customers to drive success. You must be a U.S. Citizen to apply for this position. What You’ll Be Doing • Working with NVIDIA Cloud Partners and OEMs in Public Sector on large data center GPU server and networking system deployments. Guide customer discussions on network design, compute/storage, and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. • Become the primary technical driver for customers during the build, deployment, construction, integration, and production of GPU infrastructure and applications throughout the entire customer lifecycle. • Work as the customer's trusted advisor conducting regular technical customer meetings for product roadmap, cluster issue debugging, feature discussions and introduction to new technology solutions. • Partner with other SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, and secure business opportunities for NVIDIA. • Analyze and debug compute/network configuration and performance issues to deliver performant clusters. • Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications. • Lead communication with customers and NVIDIA Management. • Provide constructive feedback to engineering and product regarding product requirements, customer experience, documentation, and tools. What We Need To See The position requires solving complex multidisciplinary problems. Responsible for leading the resolution of technical issues across multiple engineering teams and coordinating the solutions with the customer. • BS/MS/PhD in Electrical Engineering, Computer Science or equivalent experience. • 6+ years supporting Solution Engineering (or similar Sales Engineering, Solution Architecture) including experience working directly with partners and customers. • Experience with high performance Networking or CPU/GPU application acceleration. • Background with schedulers such as SLURM, LSF, UGE, etc. • Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience. • An ability to travel to customer sites up to 20% of the time. Ways To Stand Out From The Crowd • Familiarity with NVIDIA GPUs, NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and systems technology such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager. Experience building and/or integration artificial intelligence solutions. • Experience with bring up and deployment of large GPU clusters, including deploying and optimizing high-speed networks (InfiniBand/Ethernet), with a clear understanding of how network architecture impacts GPU cluster performance. • Experience with MPI (Message Passing Interface). • Experience working with enterprise developers and strong customer-facing skills. • Active Security Clearance is highly desirable. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, independent, and focused on serving the mission of the U.S. Federal Government, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 15, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2025235

Lead design and development of scalable, secure agent compute platform with cloud VM solutions. | 8+ years in software/platform/cloud engineering, strong distributed systems and Go/TypeScript skills, relevant degree. | NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. As a Senior Software Engineer, you will help drive the design and development of our agent compute delivery platform centered around our custom agent sandbox cloud VM solution. Your responsibility will be to improve NVIDIA's agent sandbox services into running full agentic use cases that are scalable and secure. You will partner with teams all across NVIDIA to enable their AI workflows. This is a role for someone who wants to build at the frontier of AI, creating the platform for next-gen agentic services! What you will be doing: Leading cloud VM platform initiatives from architecture and systems design through implementation, testing, and deployment. Designing, building, and operating scalable services that support secure, isolated agent workloads. Developing automation for infrastructure provisioning, VM lifecycle management, application delivery, configuration, monitoring, and remediation. Collaborating with engineering teams across NVIDIA to translate business and AI workflow requirements into dependable platform capabilities. Improving the platform’s reliability, scalability, observability, performance, and operational efficiency. Continuously raising standards for code quality, testing, documentation, infrastructure security, and production readiness. What we need to see: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field—or equivalent experience. 8+ years of experience in software, platform, infrastructure, or cloud engineering, with a focus on backend or distributed systems. Strong understanding of distributed-systems concepts, including service communication, asynchronous processing, failure handling, retries, idempotency, and eventual consistency. Familiarity with PostgreSQL and MongoDB, including data modeling, migrations, and performance. Understanding of secure software development, cloud security, identity and access management, secrets management, and network security. Experience with AI-native development and coding agents to multiply developer efficiency. Strong communication skills and a collaborative, team-oriented approach. Ways to stand out from the crowd: Deep expertise in Go and TypeScript. Production experience with Temporal for durable execution, workflow orchestration, and long-running distributed processes. Comprehensive understanding of infrastructure security, workload isolation, container security, and zero-trust principles. Experience building platforms for AI agents or sandbox execution. Excited to contribute to a high-trust, collaborative culture while bringing a unique perspective to the team! NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and enjoy learning while having fun, then what are you waiting for? Apply today! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 12, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Lead cross-functional alignment and manage partner operations to ensure successful hardware deployment and operational execution. | At least 8 years of experience in operations, supply chain, or partner management with strong communication and process improvement skills. | At NVIDIA, we're at the forefront of innovation, redefining the future of computing with our powerful GPU technology. Our GPUs serve as the brains behind computers, robots, and self-driving cars, enabling them to understand and interact with their surroundings. We are seeking a Senior Program Manager to own the operating rhythm between internal teams, OEM/ODM partners, and customer-facing deployment programs. This is a high-visibility, operations-focused role that values process rigor, cross-functional coordination, and leadership transparency over deep technical expertise. What You'll Be Doing: Own the operating rhythm and day-to-day engagement with OEM/ODM ecosystem partners across factory status tracking, hardware deployment achievements, service readiness, and operational execution. Drive cross-functional alignment between internal teams, external partners, operations, supply chain, and deployment collaborators to ensure consistent program visibility. Establish and maintain a consistent operating cadence for program reviews, partner status updates, risk reviews, and executive handling of blocking issues. Track and communicate program readiness across planning, deployment preparation, bring-up execution, validation, and operational handoff achievements. Coordinate post-deployment field data, including bring-up issues, validation results, and operational metrics, with factory and partner workflows. Identify key improvements and promote process updates with ODM/OEM partners. Identify roadblocks, owners, mitigation plans, decision needs, and leadership asks across multiple partner programs. Standardize templates, trackers, dashboards, and review mechanisms for partner programs, deployment services, and leadership updates. Support continuous improvement across partner workflows, deployment execution, and operating processes by bringing to bear data from field operations. What We Need to See: Bachelor's or Master's degree in Business, Operations, Supply Chain, or a related field, or equivalent experience. 8+ years of experience leading cross-functional programs related to operations, supply chain, service delivery, or partner management. Strong collaborator management skills across internal teams, external partners, and leadership audiences. Demonstrated ability to translate ambiguous business or operational needs into structured plans, owners, timelines, and outcomes. Strong executive communication skills, including concise status reporting, risk framing, and managing blocking issues. Proven ability to standardize processes, improve workflows, and build repeatable operating mechanisms. Experience leading programs that require coordination across multiple functions and partner organizations. Strong ownership approach, attention to detail, and ability to drive accountability without direct authority. Ways to Stand Out from the Crowd: Experience collaborating directly with ODM/OEM partners in hardware manufacturing, factory operations, or data center deployment environments. Familiarity with factory production workflows, bring-up and validation processes, and post-deployment operational feedback loops. Background in supply chain operations, partner program management, or infrastructure deployment at scale. Experience building dashboards, trackers, or operational reporting tools that provide leadership access to program health and risks. Knowledge of NVIDIA platforms, AI infrastructure, or GPU-accelerated computing environments. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 8, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Manage infrastructure and development processes for data science and AI software projects including CI/CD pipeline implementation. | 8+ years DevOps experience with scripting in Bash and Python and a relevant bachelor's degree. | NVIDIA is widely considered to be one of the world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! We are looking for a hardworking member of NVIDIA’s Analytics and Data Intelligence Engineering Operations team, supporting multiple engineering teams working on data science (and adjacent) libraries such as RAPIDS. RAPIDS is the open-source suite for GPU-accelerated data science, spanning from ETL and data transformation to visualization, graph analytics, and machine learning. RAPIDS supports customers and partners ranging from individual data scientists to the world’s largest supercomputers and Fortune 500 companies. As a DevOps Engineer, you’ll have the opportunity to help support and grow the RAPIDS project. You will work closely with RAPIDS build and development teams to ensure high-quality releases of CUDA/C++ and Python libraries as well as containers. What you’ll be doing: Work in a team of DevOps engineers supporting multiple software projects in the data science and AI domain, many of them open source Manage cutting-edge hardware and help inform purchasing decisions for the team Collaborate with build engineers, developers, and management to ensure the delivery of high-quality software Develop and modernize packages, such as streamlined Python wheels, for RAPIDS data science libraries Design and maintain container build processes Take a hands-on approach working with engineers on the team to implement DevOps best practices Execute on a range of DevOps initiatives including CI/CD, observability, security/legal compliance, and SysAdmin tasks Operate and maintain our infrastructure and development processes What we need to see: Bachelor of Science in Computer Engineering, Computer Science or related technical field or equivalent experience 8+ years of technical experience primarily related to DevOps Proven experience in programming and automation with scripting languages (Bash and Python preferred) Experience with Conda and/or PyPI packaging, especially building and publishing Experience with container technologies such as Docker, especially building and publishing Detail-oriented and comfortable supporting and prioritizing amongst multiple teams Experience with administration, optimization, and troubleshooting of CI/CD and related tools (including Jenkins, Git, GitHub Actions) You have worked with cloud services (AWS, Azure, and others), especially permissions, budget, and cost management Linux system administration experience (Ubuntu strongly preferred) Ways to stand out from the crowd: Background with NVIDIA’s technology stack, including CUDA toolkit and drivers Experience in software development, build, and/or related DevOps Experience with GitHub operations, including user, repository, and organization management and permissions Prior work with open-source development and community building on GitHub Strong verbal and written communication skills With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: AI, Data Engineering and Data Science. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 5, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Lead development of AI-powered agentic software platform and infrastructure for NVIS delivery organization. | Requires 5+ years software development, strong Python backend skills, hands-on LLM and AI system experience, and cloud-native development expertise. | As a Software Solution Architect, NVIS at NVIDIA, you will lead the transformation of AI infrastructure. Our NVIS team focuses on developing the next generation of NVIS Central, an agentic software platform with tools, services, and AI agents that automate, simplify, and speed up the work of our delivery organization. This role offers an outstanding chance to create and build LLM-powered agents that improve execution visibility, cut down manual tasks, and standardize workflows. These efforts allow NVIS to grow quickly and with high quality. Join us to bring up, validate, optimize, and upgrade large-scale AI Factory infrastructure for some of the world’s most advanced accelerated computing environments! What you'll be doing (required): • Compose, build, and productionize agentic AI solutions, tools, and applications for the NVIS delivery organization. • Develop LLM-based agents, skills, tool-calling workflows, orchestration logic, backend services, APIs, data pipelines, and automation features as part of NVIS Central. • Translate field, delivery, operations, and product needs into clear technical builds, agent workflows, and working software. • Develop agents that can reason across project data, knowledge bases, operational systems, logs, reports, and delivery workflows. • Build workflows that help NVIS teams identify risks, summarize project status, automate repetitive tasks, improve readiness visibility, and simplify handoffs. • Work with timely engineering, retrieval-augmented generation, context management, agent memory, function calling, evaluations, and guardrails to build reliable AI systems. • Integrate LLMs and agents with internal systems, project data sources, knowledge repositories, reporting tools, and operational workflows. • Collaborate closely with software developers, architects, product managers, DevOps/SRE, and NVIS field teams to successfully implement reliable and scalable solutions. • Contribute to engineering guidelines, including code quality, testing, CI/CD, observability, documentation, security, and production support. What we need to see (required): • B.Sc. degree or equivalent experience in Computer Science, Computer Engineering, or a related technical field. • 5+ years of hands-on software development experience building production applications, platforms, automation tools, or AI-based systems. • Strong programming experience with Python and modern backend development. • Hands-on experience working with LLMs, agentic workflows, timely composition, tool/function calling, RAG, and AI application development. • Experience crafting and implementing RESTful APIs, data services, workflow automation, and integrations with enterprise systems. • Experience building reliable software around non-deterministic AI systems, including testing, evaluation, monitoring, and failure handling. • Experience with Docker, Kubernetes, CI/CD, Git, observability, and cloud-native development practices. • Background with SQL and NoSQL databases, data modeling, querying, indexing, and data integration. • Excellent problem-solving skills, ownership attitude, and ability to operate in a fast paced, cross-functional environment. Ways to stand out from the crowd (optional): • Experience building agent platforms, copilots, multi-agent systems, tool-calling workflows, evaluation frameworks, or MCP-style integrations. • Deep understanding of LLM application patterns such as context engineering, retrieval quality, timely/version management, agent planning, human-in-the-loop workflows, and AI safety guardrails. • Experience with AI infrastructure, HPC clusters, NVIDIA DGX systems, SuperPOD, Spectrum-X, Ethernet, InfiniBand, Kubernetes, or SLURM. • Experience in automating workflows related to field, delivery, operations, or professional services. • Strong Linux, networking, security, SRE, or distributed systems background. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Design, develop, and operate scalable SDN software solutions and maintain operational excellence for NVIDIA's AI Cloud environments. | 8+ years software development experience in large-scale distributed environments with expertise in OVN, OVS, OpenFlow, C, Go, Kubernetes, and CI/CD. | Senior Engineer System Software, Software Defined Networking Location: US, CA, Santa Clara, US, CA, Remote Time Type: Full time Job Description We are looking for a Senior System Software Engineer, Software Defined Networking to design, build, and operate highly performant and scalable SDN solutions for NVIDIAs AI Clouds hosting GPU-accelerated workloads — including hyperscale multi-node training, inference, cloud gaming, and cloud functions. This role spans the full lifecycle of our SDN stack — from designing and developing new control and data plane software to ensuring operational excellence in production through reliability engineering, CI/CD, observability, and incident response. What youll be doing: • Design and develop next-generation multi-tenant cloud SDN control and data plane software (OVS, OVN, OpenFlow) • Build Infrastructure-as-a-Service virtual network orchestration and services using gRPC and REST to support tenant workload security and performance SLAs for BMaaS, VMaaS, and Kubernetes • Drive upstream contributions to OVN-Kubernetes and related open-source projects • Develop software for network observability — monitoring, telemetry, intelligent metering, and performance analysis • Operate and support OVS-OVN based SDN solutions in large-scale NVIDIA AI Cloud environments • Own end-to-end observability for the SDN stack — build and maintain monitoring, alerting, distributed tracing, and dashboarding to ensure real-time insight into network health, performance, and tenant SLAs • Design, enhance, and maintain CI/CD pipelines (GitLab) across Linux host networking, OVS, OVN, and Kubernetes CNIs • Implement GitOps approaches or related experience for secure, seamless integration with cloud infrastructure • Drive reliability through incident management, resource monitoring, and performance tuning • Collaborate with SRE, DevOps, and network engineering teams on production readiness and operational tooling What we need to see: • BS/MS in Computer Science or related technical field, or equivalent experience • 8+ years of proven experience in software development for large-scale distributed environments • Expert-level knowledge of OVN, OVS, OpenFlow, and modern network protocols • Strong programming skills in C and Go; advanced scripting in Bash and Python • Deep knowledge of Kubernetes, practical experience deploying and supporting CNIs (OVN-Kubernetes) • Hands-on experience with Infrastructure-as-Code and deployment tools (Ansible, Terraform, ArgoCD, Flux) • Experience designing and operating complex, multi-stage CI/CD pipelines • Hands-on experience developing secure, high-performance services using gRPC and REST with TLS and strong authentication • Strong knowledge of datacenter routing, switching, and Linux host/VM networking Ways to stand out from the crowd: • Contributions to open-source projects (especially OVS, OVN, OVN-Kubernetes, or other Kubernetes networking projects) • Experience with hardware acceleration (GPU, DPU or equivalent experience) for networking • Practical experience with major cloud providers (AWS, Azure, GCP) and hybrid/multi-cloud deployments • SRE/DevOps top-level expertise — on-call, incident management, operations focused on service reliability targets, production ownership • Experience with observability platforms and tools (Prometheus, Grafana, Jaeger, OpenTelemetry, ELK) With a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous Systems Software Engineer who loves challenges? Do you have a genuine passion for advancing the state of Networking, SDN, and Cloud Networking across a variety of industries? If so, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 21, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Develop metrics and evaluation products for autonomous vehicle software to enable rapid algorithm development and testing. | 8+ years software engineering experience, proficiency in Python and Linux, and advanced degree or equivalent in related technical fields. | Want to join a fun, creative company that is on the cutting edge of amazing technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for an experienced engineer to join our Planning and Control team to work on metrics and evaluation. In this role you will enable rapid planner and controller algorithm development by providing critical evaluation products. You will develop novel evaluation methodologies and the metrics needed to power them. This is an open-ended and unsolved space which requires creativity and inventiveness. What You Will Be Doing • Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software. • Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards. • Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems • Work with the Planning & Control team to develop and drive software testing strategies What We Need To See • MS, or PhD or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar fields • 8+ years experience working in software engineering, data science, and/or experiment design roles • Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib) • Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system • Ability and enthusiasm to ramp up quickly on new technical domains • Ability to multitask and prioritize in a fast paced environment • Excellent organizational and interpersonal skills Ways To Stand Out From The Crowd • Experience developing on-board planning algorithms • Developed metrics for autonomous vehicle robotics systems • Experience with evaluating precision and recall of performance metrics • Familiarity with C++ • Experience with working in a large monorepo and with Bazel as well as prior knowledge about vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and self-driving technologies. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2014651

Develop metrics and evaluation products for autonomous vehicle software to support rapid debugging and testing. | 8+ years software engineering experience, proficiency in Python and Linux, and advanced degree or equivalent in related fields. | Want to join a fun, creative company that is on the cutting edge of amazing technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for an experienced engineer to join our Planning and Control team to work on metrics and evaluation. In this role you will enable rapid planner and controller algorithm development by providing critical evaluation products. You will develop novel evaluation methodologies and the metrics needed to power them. This is an open-ended and unsolved space which requires creativity and inventiveness. What You Will Be Doing • Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software. • Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards. • Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems • Work with the Planning & Control team to develop and drive software testing strategies What We Need To See • MS, or PhD or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar fields • 8+ years experience working in software engineering, data science, and/or experiment design roles • Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib) • Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system • Ability and enthusiasm to ramp up quickly on new technical domains • Ability to multitask and prioritize in a fast paced environment • Excellent organizational and interpersonal skills Ways To Stand Out From The Crowd • Experience developing on-board planning algorithms • Developed metrics for autonomous vehicle robotics systems • Experience with evaluating precision and recall of performance metrics • Familiarity with C++ • Experience with working in a large monorepo and with Bazel as well as prior knowledge about vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and self-driving technologies. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2014651

Develop and define metrics and evaluation products for autonomous vehicle software to enable rapid debugging and testing. | 8+ years software engineering experience, proficiency in Python and Linux, and advanced degree or equivalent experience in related technical fields. | Want to join a fun, creative company that is on the cutting edge of amazing technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for an experienced engineer to join our Planning and Control team to work on metrics and evaluation. In this role you will enable rapid planner and controller algorithm development by providing critical evaluation products. You will develop novel evaluation methodologies and the metrics needed to power them. This is an open-ended and unsolved space which requires creativity and inventiveness. What You Will Be Doing • Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software. • Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards. • Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems • Work with the Planning & Control team to develop and drive software testing strategies What We Need To See • MS, or PhD or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar fields • 8+ years experience working in software engineering, data science, and/or experiment design roles • Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib) • Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system • Ability and enthusiasm to ramp up quickly on new technical domains • Ability to multitask and prioritize in a fast paced environment • Excellent organizational and interpersonal skills Ways To Stand Out From The Crowd • Experience developing on-board planning algorithms • Developed metrics for autonomous vehicle robotics systems • Experience with evaluating precision and recall of performance metrics • Familiarity with C++ • Experience with working in a large monorepo and with Bazel as well as prior knowledge about vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and self-driving technologies. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2014651

Develop and define metrics for autonomous vehicle software evaluation and collaborate with cross-functional teams to build data-driven evaluation products. | 8+ years software engineering experience, proficiency in Python and Unix systems, and advanced degree or equivalent in relevant technical fields. | Want to join a fun, creative company that is on the cutting edge of amazing technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for an experienced engineer to join our Planning and Control team to work on metrics and evaluation. In this role you will enable rapid planner and controller algorithm development by providing critical evaluation products. You will develop novel evaluation methodologies and the metrics needed to power them. This is an open-ended and unsolved space which requires creativity and inventiveness. What You Will Be Doing • Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software. • Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards. • Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems • Work with the Planning & Control team to develop and drive software testing strategies What We Need To See • MS, or PhD or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar fields • 8+ years experience working in software engineering, data science, and/or experiment design roles • Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib) • Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system • Ability and enthusiasm to ramp up quickly on new technical domains • Ability to multitask and prioritize in a fast paced environment • Excellent organizational and interpersonal skills Ways To Stand Out From The Crowd • Experience developing on-board planning algorithms • Developed metrics for autonomous vehicle robotics systems • Experience with evaluating precision and recall of performance metrics • Familiarity with C++ • Experience with working in a large monorepo and with Bazel as well as prior knowledge about vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and self-driving technologies. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2014651

Develop and define metrics and evaluation products for autonomous vehicle software to enable rapid debugging and testing. | 8+ years software engineering experience, proficiency in Python and Unix-based systems, and ability to work in fast-paced environments. | Want to join a fun, creative company that is on the cutting edge of amazing technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for an experienced engineer to join our Planning and Control team to work on metrics and evaluation. In this role you will enable rapid planner and controller algorithm development by providing critical evaluation products. You will develop novel evaluation methodologies and the metrics needed to power them. This is an open-ended and unsolved space which requires creativity and inventiveness. What You Will Be Doing • Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software. • Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards. • Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems • Work with the Planning & Control team to develop and drive software testing strategies What We Need To See • MS, or PhD or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar fields • 8+ years experience working in software engineering, data science, and/or experiment design roles • Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib) • Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system • Ability and enthusiasm to ramp up quickly on new technical domains • Ability to multitask and prioritize in a fast paced environment • Excellent organizational and interpersonal skills Ways To Stand Out From The Crowd • Experience developing on-board planning algorithms • Developed metrics for autonomous vehicle robotics systems • Experience with evaluating precision and recall of performance metrics • Familiarity with C++ • Experience with working in a large monorepo and with Bazel as well as prior knowledge about vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and self-driving technologies. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2014651

Develop novel evaluation methodologies and metrics for autonomous vehicle software to enable rapid debugging and testing. | 8+ years software engineering experience, proficiency in Python, and ability to work in fast-paced environments. | Want to join a fun, creative company that is on the cutting edge of amazing technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for an experienced engineer to join our Planning and Control team to work on metrics and evaluation. In this role you will enable rapid planner and controller algorithm development by providing critical evaluation products. You will develop novel evaluation methodologies and the metrics needed to power them. This is an open-ended and unsolved space which requires creativity and inventiveness. What You Will Be Doing • Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software. • Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards. • Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems • Work with the Planning & Control team to develop and drive software testing strategies What We Need To See • MS, or PhD or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar fields • 8+ years experience working in software engineering, data science, and/or experiment design roles • Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib) • Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system • Ability and enthusiasm to ramp up quickly on new technical domains • Ability to multitask and prioritize in a fast paced environment • Excellent organizational and interpersonal skills Ways To Stand Out From The Crowd • Experience developing on-board planning algorithms • Developed metrics for autonomous vehicle robotics systems • Experience with evaluating precision and recall of performance metrics • Familiarity with C++ • Experience with working in a large monorepo and with Bazel as well as prior knowledge about vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and self-driving technologies. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2014651

Develop metrics and evaluation products for autonomous vehicle software to enable rapid debugging and testing. | 8+ years experience in software engineering or related fields, proficiency in Python and Linux, and strong organizational skills. | Want to join a fun, creative company that is on the cutting edge of amazing technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for an experienced engineer to join our Planning and Control team to work on metrics and evaluation. In this role you will enable rapid planner and controller algorithm development by providing critical evaluation products. You will develop novel evaluation methodologies and the metrics needed to power them. This is an open-ended and unsolved space which requires creativity and inventiveness. What You Will Be Doing • Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software. • Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards. • Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems • Work with the Planning & Control team to develop and drive software testing strategies What We Need To See • MS, or PhD or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar fields • 8+ years experience working in software engineering, data science, and/or experiment design roles • Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib) • Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system • Ability and enthusiasm to ramp up quickly on new technical domains • Ability to multitask and prioritize in a fast paced environment • Excellent organizational and interpersonal skills Ways To Stand Out From The Crowd • Experience developing on-board planning algorithms • Developed metrics for autonomous vehicle robotics systems • Experience with evaluating precision and recall of performance metrics • Familiarity with C++ • Experience with working in a large monorepo and with Bazel as well as prior knowledge about vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and self-driving technologies. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2014651

Design and integrate end-to-end technology solutions for data center GPU and networking infrastructure deployments. | Requires 6+ years in solution engineering with system-level understanding of server architecture, networking, Linux, and coding skills. | NVIDIA is looking for an experienced systems and network infrastructure Solutions Architect. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in the field? We are looking for a compute and networking savvy Solution Architect to join the NVIDIA Solution Architecture Engineering (SA) team focused on supporting accelerated computing applications. As part of the NVIDIA SA organization, you will be driving our end-to-end technology solutions integration with some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product technology. What You'll Be Doing • Working with NVIDIA Consumer Internet and IT Services customers on data center GPU server and networking infrastructure deployments as solution architect. Guide customer discussions on network topologies, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. • Identifying new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the Systems/Network Engineering, Product management and Sales teams • Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster debug, feature discussions and introduction to new technology solutions • Building custom product demonstrations and POCs for solutions that address critical business needs of our customers • Analyzing and debugging compute/network performance issues What We Need To See • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. • This role is for an individual with the motivation and skills to drive the data center engagements. Ideal candidate has 6+ years of Solution Engineering (or similar Engineering roles) experience • System level understanding of server architecture, NICs, Linux, system software and kernel drivers • Practical knowledge of Networking - switching & routing for Ethernet/Infiniband, and Data Center infrastructure (power/cooling) • Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes is a plus • Effective time management and capable of balancing multiple tasks • Ability to communicate your ideas/code clearly through documents, presentation etc Ways To Stand Out From The Crowd • External customer facing skill set and background • Experience with bring up and deployment of large clusters • Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers • Hands-on experience with NVIDIA systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), and/or ARM CPU solutions • Familiarity with virtualization technology concepts We make extensive use of conferencing tools, but occasional (20%) travel is required for on-site visit to customers and industry events. We are open to remote work location and look forward to have you join our team! NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2001503

Develop metrics and evaluation products for autonomous vehicle software to enable rapid debugging and testing. | 8+ years software engineering experience, proficiency in Python and Linux, and advanced degree or equivalent experience in related fields. | Want to join a fun, creative company that is on the cutting edge of amazing technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for an experienced engineer to join our Planning and Control team to work on metrics and evaluation. In this role you will enable rapid planner and controller algorithm development by providing critical evaluation products. You will develop novel evaluation methodologies and the metrics needed to power them. This is an open-ended and unsolved space which requires creativity and inventiveness. What You Will Be Doing • Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software. • Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards. • Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems • Work with the Planning & Control team to develop and drive software testing strategies What We Need To See • MS, or PhD or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar fields • 8+ years experience working in software engineering, data science, and/or experiment design roles • Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib) • Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system • Ability and enthusiasm to ramp up quickly on new technical domains • Ability to multitask and prioritize in a fast paced environment • Excellent organizational and interpersonal skills Ways To Stand Out From The Crowd • Experience developing on-board planning algorithms • Developed metrics for autonomous vehicle robotics systems • Experience with evaluating precision and recall of performance metrics • Familiarity with C++ • Experience with working in a large monorepo and with Bazel as well as prior knowledge about vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and self-driving technologies. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2014651

Develop and define metrics and evaluation products for autonomous vehicle software to enable rapid algorithm development and testing. | 8+ years software engineering experience, proficiency in Python and Unix-based systems, and ability to work in fast-paced environments. | Want to join a fun, creative company that is on the cutting edge of amazing technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for an experienced engineer to join our Planning and Control team to work on metrics and evaluation. In this role you will enable rapid planner and controller algorithm development by providing critical evaluation products. You will develop novel evaluation methodologies and the metrics needed to power them. This is an open-ended and unsolved space which requires creativity and inventiveness. What You Will Be Doing • Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software. • Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards. • Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems • Work with the Planning & Control team to develop and drive software testing strategies What We Need To See • MS, or PhD or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar fields • 8+ years experience working in software engineering, data science, and/or experiment design roles • Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib) • Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system • Ability and enthusiasm to ramp up quickly on new technical domains • Ability to multitask and prioritize in a fast paced environment • Excellent organizational and interpersonal skills Ways To Stand Out From The Crowd • Experience developing on-board planning algorithms • Developed metrics for autonomous vehicle robotics systems • Experience with evaluating precision and recall of performance metrics • Familiarity with C++ • Experience with working in a large monorepo and with Bazel as well as prior knowledge about vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and self-driving technologies. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2014651

Partner with teams and customers to design and deploy AI solutions using NVIDIA technology focusing on Generative AI and LLM inference. | 8+ years in deep learning frameworks, programming in Python, GPU and Kubernetes experience, and strong communication skills. | NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on inference for Generative AI and Large Language Models (LLMs). You will also collaborate with a diverse set of internal teams on performance analysis and modeling of inference software. You should be comfortable working in a dynamic environment, and have experience with Generative AI, LLMs and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA! What You Will Be Doing • Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions • Dynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areas • Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform • Working closely with customers to help them adopt and build creative solutions using NVIDIA technology and MLOps solutions • Analyzing performance and power efficiency of AI inference workloads on Kubernetes • Some travel to conferences and customers may be required (20%) What We Need To See • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) • 8+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow • Strong fundamentals in programming, optimizations, and software design, especially in Python • Proficiency in problem-solving and debugging skills in GPU orchestration and Multi-Instance GPU (MIG) management within Kubernetes environments • Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments • Excellent knowledge of the theory and practice of LLM and DL inference • Excellent presentation, communication and collaboration skills Ways To Stand Out From The Crowd • Prior experience with DL training at scale, deploying or optimizing DL inference in production • Experience with NVIDIA GPUs and software libraries such as NVIDIA NIM, Dynamo, TensorRT, TensorRT-LLM • Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design • Familiarity with parallel programming and distributed computing platforms #NALASAHiring Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 20, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2015676

Develop metrics and evaluation products for autonomous vehicle software to enable rapid debugging and testing. | 8+ years software engineering experience, proficiency in Python and data science libraries, and familiarity with Linux and Git. | Want to join a fun, creative company that is on the cutting edge of amazing technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for an experienced engineer to join our Planning and Control team to work on metrics and evaluation. In this role you will enable rapid planner and controller algorithm development by providing critical evaluation products. You will develop novel evaluation methodologies and the metrics needed to power them. This is an open-ended and unsolved space which requires creativity and inventiveness. What You Will Be Doing • Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software. • Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards. • Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems • Work with the Planning & Control team to develop and drive software testing strategies What We Need To See • MS, or PhD or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar fields • 8+ years experience working in software engineering, data science, and/or experiment design roles • Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib) • Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system • Ability and enthusiasm to ramp up quickly on new technical domains • Ability to multitask and prioritize in a fast paced environment • Excellent organizational and interpersonal skills Ways To Stand Out From The Crowd • Experience developing on-board planning algorithms • Developed metrics for autonomous vehicle robotics systems • Experience with evaluating precision and recall of performance metrics • Familiarity with C++ • Experience with working in a large monorepo and with Bazel as well as prior knowledge about vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and self-driving technologies. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2014651

Develop metrics and evaluation products for autonomous vehicle software to enable rapid debugging and testing. | 8+ years software engineering experience, proficiency in Python and data science libraries, and familiarity with Linux and Git. | Want to join a fun, creative company that is on the cutting edge of amazing technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for an experienced engineer to join our Planning and Control team to work on metrics and evaluation. In this role you will enable rapid planner and controller algorithm development by providing critical evaluation products. You will develop novel evaluation methodologies and the metrics needed to power them. This is an open-ended and unsolved space which requires creativity and inventiveness. What You Will Be Doing • Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software. • Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards. • Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems • Work with the Planning & Control team to develop and drive software testing strategies What We Need To See • MS, or PhD or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar fields • 8+ years experience working in software engineering, data science, and/or experiment design roles • Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib) • Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system • Ability and enthusiasm to ramp up quickly on new technical domains • Ability to multitask and prioritize in a fast paced environment • Excellent organizational and interpersonal skills Ways To Stand Out From The Crowd • Experience developing on-board planning algorithms • Developed metrics for autonomous vehicle robotics systems • Experience with evaluating precision and recall of performance metrics • Familiarity with C++ • Experience with working in a large monorepo and with Bazel as well as prior knowledge about vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and self-driving technologies. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2014651

Develop metrics and evaluation products for autonomous vehicle software to enable rapid debugging and testing. | Requires 8+ years in software engineering or data science, proficiency in Python and Unix systems, and experience with autonomous vehicle metrics is a plus. | Want to join a fun, creative company that is on the cutting edge of amazing technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for an experienced engineer to join our Planning and Control team to work on metrics and evaluation. In this role you will enable rapid planner and controller algorithm development by providing critical evaluation products. You will develop novel evaluation methodologies and the metrics needed to power them. This is an open-ended and unsolved space which requires creativity and inventiveness. What You Will Be Doing • Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software. • Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards. • Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems • Work with the Planning & Control team to develop and drive software testing strategies What We Need To See • MS, or PhD or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar fields • 8+ years experience working in software engineering, data science, and/or experiment design roles • Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib) • Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system • Ability and enthusiasm to ramp up quickly on new technical domains • Ability to multitask and prioritize in a fast paced environment • Excellent organizational and interpersonal skills Ways To Stand Out From The Crowd • Experience developing on-board planning algorithms • Developed metrics for autonomous vehicle robotics systems • Experience with evaluating precision and recall of performance metrics • Familiarity with C++ • Experience with working in a large monorepo and with Bazel as well as prior knowledge about vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and self-driving technologies. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2014651