Technical Lead, GenAI - Autonomous Vehicles at NVIDIA

You're a seasoned technical leader with a Master's or Ph.D. in Computer Science or Artificial Intelligence, bringing at least 12 years of hands-on experience in

Work type: onsite

Location: US, CA, Santa Clara

Salary: $224,000 – $356,500/yr

Type: Full-time

Summary

You're a seasoned technical leader with a Master's or Ph.D. in Computer Science or Artificial Intelligence, bringing at least 12 years of hands-on experience in AI, specifically in Autonomous Vehicles and Generative AI models. **What makes it worth a look...** This full-time, on-site role at NVIDIA in Santa Clara, CA, offers a substantial annual salary range of $224,000 to $356,500, plus equity and a generous benefits package, placing it among desirable employers. **You might be a good fit if you...** * Have production coding experience in Python or C++ and are proficient with Linux. * Are comfortable using DevOps tools like GitLab, Docker, and Kubernetes. * Possess a strong understanding of AV systems, including sensors, dynamics, and control. * Have experience with deep learning and reinforcement learning algorithms and frameworks like PyTorch.

Job Description

We are seeking a highly technical and strategic Senior Technical Lead to join our team, with a focus on engaging developer ecosystems across emerging technology domains such as Generative AI, Autonomous Vehicles, and Simulation Platforms. In this pivotal role, you will work directly with software solution providers, developers, and industry professionals to foster the adoption of NVIDIA’s advanced AI and computing platforms—including Omniverse, Cosmos, and GenAI frameworks. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world challenges.

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.

Understand 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.

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](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until April 17, 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.

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