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Principal Product Manager, Agentic Workflows – Autonomous Vehicles

US, CA, Santa Clara
Full Time On-site

We are looking for a Principal Manager to join NVIDIA’s Automotive Product Management team with a focus on agentic workflows for autonomous vehicle (AV) development. In this role, you will define, design, and drive the implementation of AI-agent-powered workflows that accelerate how our engineering teams build, test, and deploy AV software. You will work at the intersection of generative AI, autonomous driving, and developer tooling to create reusable agents, skills, and orchestrated workflows that developers across NVIDIA and our partners can adopt in their own pipelines.

You will collaborate with forward-thinking engineers, researchers, and business leaders across NVIDIA to translate the latest AI capabilities into productized agentic solutions—packaging them so they are discoverable, composable, and ready for integration into real-world AV development environments.

What You Will Be Doing:

  • Define the product vision, architecture, and roadmap for agentic workflows that support AV development—from data curation and labeling, to simulation, training, validation, and deployment

  • Partner with engineering teams to design and implement end-to-end agentic workflows, specifying the agents, skills, tools, and orchestration logic required at each stage

  • Own the packaging and productization of agents, skills, and workflows so that internal and external developers can discover, configure, and integrate them into their own AV development pipelines

  • Synthesize requirements from AV engineering teams, customers, government regulations, and competitive benchmarking to prioritize the highest-impact workflow capabilities

  • Drive execution across teams (SW, HW, Safety, Operations, Integration) through technical engagements including architecture reviews, metric tracking, and sprint-level planning

  • Define use cases, acceptance criteria, and success metrics for each agentic workflow; ensure system design, safety, and quality are aligned with product goals

  • Own stakeholder alignment and negotiate feature roadmaps and prioritization with internal teams and external customers

  • Ensure development proceeds on schedule; proactively identify risks, resolve blockers, and maintain a program risk register

  • Support customer engagements and pre-sales discussions to demonstrate agentic workflow capabilities and align on deployment plans

  • Develop and promote standards, tools, templates, and documentation that enable developer self-service adoption of agentic workflows

What We Need to See:

  • Strong understanding of ML/AI principles and technologies, with particular depth in large language models (LLMs), generative AI, and agentic AI frameworks (e.g., multi-agent orchestration, tool use, retrieval-augmented generation)

  • BS/MS (or equivalent experience) in Engineering, Computer Science, or a related field and 15+ years of product management experience spanning both software and hardware platformsDemonstrated experience defining and shipping AI-powered developer tools, platforms, or workflow automation products

  • Experience with autonomous vehicle development pipelines or ADAS—including data management, simulation, training, and deployment—is strongly preferred

  • Familiarity with on-device or edge computing as it relates to deploying AI models in automotive systems

  • Self-starter with a ‘can-do’ attitude who thrives in a fast-paced, multifaceted environment

  • Experience working in agile software development environments with modern product requirements and project management tools

  • Proven track record of leading the launch of technically complex products to customers

  • Strong technical leadership and communication skills, with the ability to drive alignment across large organizations and with customers

Ways to Stand Out from the Crowd:

  • Hands-on experience with NVIDIA’s technology stack, including CUDA, TensorRT, Omniverse, Cosmos, Isaac, DRIVE, NIMs, or NeMo

  • Experience building agentic AI systems from concept to production—including agent design, skill libraries, workflow orchestration, and developer-facing APIs

  • Demonstrated experience with OpenClaw, NemoClaw, Hermes, LangChain

  • Experience deploying AI solutions in regulated or safety-critical production environments

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 24, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About Nvidia

Nvidia

NVIDIA is one of the most influential technology companies in the world, powering the modern era of artificial intelligence, high-performance computing, graphics, and autonomous systems. Originally known for its leadership in gaming GPUs, NVIDIA has evolved into the backbone of AI infrastructure, designing the chips, software, and systems that train and deploy large-scale AI models used across industries from healthcare and robotics to autonomous vehicles and scientific computing.

For job seekers, NVIDIA offers opportunities at the forefront of deep tech, spanning software engineering, AI research, systems engineering, hardware design, networking, robotics, and developer tools. A major focus of its work is the CUDA software platform and AI ecosystem, which enables developers to program GPUs at massive scale and has become foundational to modern machine learning and data center computing. This makes NVIDIA especially attractive to engineers, researchers, and technologists who want to work directly on the infrastructure powering today’s AI revolution.

Unlike traditional hardware companies, NVIDIA operates as a full-stack computing platform company, integrating silicon, systems, and software into a unified ecosystem. Employees may work on everything from GPU architecture and data center systems to AI frameworks, simulation platforms like Omniverse, and autonomous vehicle technology through the DRIVE platform. This breadth allows teams to operate at the intersection of research and production-scale deployment, with direct impact on global computing infrastructure.

As demand for AI, accelerated computing, and autonomous systems continues to grow rapidly, NVIDIA remains one of the most important employers in technology and advanced engineering. For professionals seeking a high-impact career at the center of AI development—where breakthroughs quickly translate into real-world systems at global scale—NVIDIA stands out as one of the most dynamic and sought-after destinations in the industry.

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