Technical Lead, Genai - Autonomous Vehicles

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

This role is a Technical Lead focused on Generative AI within Autonomous Vehicles, engaging with developer ecosystems and partners to promote NVIDIA's AI platforms. The candidate will act as a technical advisor, develop expertise in NVIDIA's platforms, create enablement resources, and represent partner needs internally. Requires a strong technical background in AI, AV systems, and GenAI model development, with experience in production code, DevOps, and DL/RL frameworks.

What you'd actually do

  1. Serve as a technical advisor and problem solver with partner engineering teams, collaborating on architecture, code, and integration for Omniverse and AI enabled-solutions.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

  • 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.

Nice to have

  • 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.

What the JD emphasized

  • GenAI model development
  • AV End-to-End models
  • production code
  • DevOps tools
  • DL and RL algorithms

Other signals

  • Engage with partner software organizations
  • technical enablement resources
  • GenAI model development
  • AV End-to-End models