Senior Technical Product Manager, GenAI - Autonomous Vehicles at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, Artificial IntelligenceIndustries

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 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
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

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

Skills

Omniverse

NVIDIA Cosmos

USD

NIMs

Blueprints

GenAI

APIs

Deep Learning

Artificial Intelligence

Autonomous Vehicles

Prototyping

Reference Architectures

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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