Nvidia Product Technical Lead GenAI – Autonomous Vehicles 

United States, California 

402248037

What you will 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.

• Co-design and implement sophisticated technical solutions with partners – defining objectives, architecture, milestones, and delivery plans. Contribute sample code, architecture diagrams, and direct engineering support to overcome technical challenges.

• Develop and deliver technical enablement resources (code samples, reference architectures, integration guides, workshops) to accelerate partner engineering teams’ adoption and effective use.

• Engage with partner software organizations - from engineering teams to technical leaders, and decision makers - to understand their goals, identify and resolve technical blockers, advocate for best practices, and drive alignment with NVIDIA technical solutions.

• 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 coordinated solutions, and ensuring perfection in customer- and partner-facing materials.

What we need to see:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.

• 12+ years 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 codes 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.

• Enjoy working with multiple levels and teams across organizations(engineering/research,product, sales and marketing teams).

• Effective verbal/written communication, and technical presentation skills.

• 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).

• Consistent track record to profile and optimize inference latency and efficiency, memory and I/O utilization.