Technical Lead, GenAI - Autonomous Vehicles

NVIDIA Corporation; Santa Clara (CA); On-site; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a senior AI architect to serve as a technical advisor with partner engineering teams. You will help architect and integrate Omniverse and AI-enabled solutions, developing reference architectures and tooling while aligning with product roadmaps.

You will lead technical enablement efforts, collaborate across product, engineering, sales, and marketing, and contribute to go-to-market activities with validated demonstrations. This role is based in Santa Clara, CA.

Qualifications

• Master’s or Ph.D. in Computer Science, AI, or equivalent experience.
• 12+ years in a technical AI role with AV End-to-End models and GenAI development.
• Production code experience in Python or C++, Linux proficiency.
• Hands-on with DevOps tools such as GitLab, Docker, Kubernetes.
• Strong understanding of AV systems: sensors, dynamics, perception, planning, control.
• Experience with DL/RL and PyTorch; cross-functional collaboration.

Responsibilities

• Serve as technical advisor with partner engineering teams on architecture, code, and integration for Omniverse and AI-enabled solutions.
• Develop and maintain deep technical expertise in NVIDIA Cosmos and Omniverse platforms; prototype and create reference architectures.
• Advise on enablement resources: sample code, guides, pipelines, and tools for real-world applications.
• Engage with partner teams to understand goals, solve challenges, and promote best practices for integrations.
• Represent partner needs to NVIDIA product/engineering and influence roadmaps.

Skills

Python

C++

Linux

DevOps

GitLab

Docker

Kubernetes

PyTorch

AV systems

Collaboration

Education

Master’s or Ph.D. in Computer Science / AI

Tools

GitLab

Docker

Kubernetes

Job description

What You'll Be Doing:

Serve as a technical advisor and problem solver with partner engineering teams, collaborating on architecture, code, and integration for Omniverse and AI enabled-solutions. Develop and maintain deep technical expertise in NVIDIA Cosmos and Omniverse Platforms and related technologies (APIs, USD, NIMs, Blueprints) through prototyping, technical integration and creation of reference architectures. Advise on technical enablement resources such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems. Engage with partner software organizations, from engineering teams to technical leaders, and decision-makers to understand their goals, solve technical challenges, and promote best practices for successful integrations. Represent and advocate for the partner technical needs and feedback to NVIDIA's internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps. Support product launches, technical go-to-market activities by providing technical validation, demonstrating integrated solutions, and ensuring excellence in customer- and partner-facing materials. Guide partners and startups through onboarding and integration with NVIDIA's programs, fostering co-innovation and the development of next-generation solutions.

What We Need to See:

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
• 12+ years of experience of hands-on experience in a technical AI role, with a strong emphasis on AV End-to-End models and GenAI model development.
• Experience writing production code in Python or C++, and proficiency with Linux.
• Hands-on experience with DevOps tools such as GitLab, Docker, and Kubernetes.
• Strong understanding of AV systems (Sensors, dynamics, perception, prediction, planning, control).
• Experience with DL and RL algorithms and frameworks such as PyTorch.
• Skilled at collaborating across engineering, product, sales, and marketing teams, with strong interpersonal abilities to simplify complex technical concepts for diverse audiences.
• Experience leading technical collaborations with engineering and product teams—including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops.
• Self-starter with a vision for growth, real passion for continuous learning and sharing findings across the team.

Ways to Stand Out from the Crowd:

• Experience with AV sensors, data curation pipelines, world models, simulations workflows and tools.
• Experience with Agentic AI frameworks, tools, and protocols like LangChain, LangGraph, MCP or equivalent experience.
• Understanding computational characteristics of Multimodal LLMs, VLMs, DiT, etc.
• Experience in deploying LLM models at scale on mainstream cloud providers (e.g., AWS, Azure, GCP) with a proven track record to profile and optimize inference latency and throughput, memory and I/O utilization.
• Successful history of building and scaling developer communities and delivering impactful technical enablement programs.

With competitive salaries and a generous benefits package, we are 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 and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.

#AutonomousVehicles

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 2, 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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA.