NVIDIA · 5 months ago
Product Technical Lead, GenAI – Autonomous Vehicles
NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. The role requires an experienced Technical Product Manager to lead technical customer engagement and drive significant impact in the adoption of NVIDIA’s core technologies in GenAI.
Computer Hardware Manufacturing
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 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
Qualification
Required
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
Preferred
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
Benefits
Equity
Benefits
Company
NVIDIA
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Late StageCompany data provided by crunchbase