Product Technical Lead, GenAI – Autonomous Vehicles

Details

Join NVIDIA to evangelize core GenAI technologies and lead technical customer engagement from inception and pre-sales to adoption. This role requires deep technical knowledge across GenAI, autonomous vehicle (AV) systems, and NVIDIA platforms (Omniverse, Cosmos), plus the ability to work across engineering, product, and partner organizations to co-design and deliver production-ready solutions and enablement resources.

Responsibilities

• 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 goals, identify and resolve technical blockers, advocate best practices, and drive alignment with NVIDIA technical solutions.
• Represent and advocate for 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 and technical go-to-market activities by providing technical validation, demonstrating coordinated solutions, and ensuring quality in customer- and partner-facing materials.

Requirements

• 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 code in Python or C++ and strong 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 deep learning (DL) and reinforcement learning (RL) algorithms and frameworks such as PyTorch.
• Ability to work with multiple levels and teams across organizations (engineering/research, product, sales, marketing).
• Effective verbal and written communication and technical presentation skills.
• Self-starter with a vision for growth and passion for continuous learning and sharing findings across the team.

Ways to stand out

• 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.
• Understanding computational characteristics of multimodal LLMs, VLMs, DiT, etc.
• Experience deploying LLM models at scale on mainstream cloud providers (e.g., AWS, Azure, GCP).
• Demonstrated track record profiling and optimizing inference latency and efficiency, memory and I/O utilization.

Compensation & Benefits

• Base salary range: 200,000 USD - 322,000 USD (final base will be determined based on location, experience, and pay of employees in similar positions).
• Eligible for equity and NVIDIA benefits.

Additional information

• Applications for this job will be accepted at least until August 18, 2025.
• NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.