Technical Lead, GenAI - Autonomous Vehicles
Company websitenvidia.com (NVIDIA, opens in new tab)
Base salary $224,000 to $356,500
Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSanta Clara, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (19 min ago) · observed since
About this job
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.
#AutonomousVehicles
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position 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 November 3, 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.Source: NVIDIA on Workday · View original posting (opens in new tab)
Pay in context
This role's base floor ($224,000) is above 92% of the 244 Customer Success & Support roles in California listed on this site; 1 other lists the same floor. Their median floor is $145,000; the middle half runs from $120,000 to $170,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingTechnical Lead, GenAI - Autonomous Vehicles$224,000 to $356,500
Senior Full-Stack Lead Engineer$224,000 to $356,500
Senior Developer Relations Manager, Data Platforms$224,000 to $431,250
Senior Developer Relations Lead, AI-Enabled Drug Discovery Science$224,000 to $431,250
Manager, Solutions Architecture - AI Infrastructure Build Readiness$224,000 to $356,500
Senior Research Engineer - AI Coding Tools$224,000 to $431,250
Senior Retail Developer Relations Manager, Digital Commerce$224,000 to $431,250
Chart as a table
| Role | Published base |
|---|---|
| Technical Lead, GenAI - Autonomous Vehicles (this listing) | $224,000 - $356,500 |
| Senior Full-Stack Lead Engineer | $224,000 - $356,500 |
| Senior Developer Relations Manager, Data Platforms | $224,000 - $431,250 |
| Senior Developer Relations Lead, AI-Enabled Drug Discovery Science | $224,000 - $431,250 |
| Manager, Solutions Architecture - AI Infrastructure Build Readiness | $224,000 - $356,500 |
| Senior Research Engineer - AI Coding Tools | $224,000 - $431,250 |
| Senior Retail Developer Relations Manager, Digital Commerce | $224,000 - $431,250 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-30
Where this pay comes from
Location as the employer wrote it: US, CA, Santa Clara
base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 224,000 USD – 356,500 USD.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
