Principal Product Manager, Agentic Workflows - Autonomous Vehicles

Posted 8 Days Ago
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Santa Clara, CA, USA
In-Office
240K-380K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead product definition and roadmap for agentic AI workflows that accelerate AV development. Design and productize agents, skills, and orchestrated workflows across data curation, simulation, training, validation, and deployment. Drive cross-team execution, define success metrics and acceptance criteria, manage stakeholder alignment, support customer engagements, and enable developer self-service adoption.
Summary Generated by Built In

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.

Skills Required

  • Strong understanding of ML/AI principles, particularly LLMs, generative AI, and agentic AI frameworks
  • BS/MS (or equivalent experience) in Engineering, Computer Science, or a related field
  • 15+ years of product management experience spanning both software and hardware platforms
  • Demonstrated experience defining and shipping AI-powered developer tools, platforms, or workflow automation products
  • Experience with autonomous vehicle development pipelines or ADAS (data management, simulation, training, deployment)
  • Familiarity with on-device or edge computing for deploying AI models in automotive systems
  • 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; ability to align large organizations and customers
  • Self-starter with a can-do attitude who thrives in fast-paced, multifaceted environments
  • Hands-on experience with NVIDIA technology stack (CUDA, TensorRT, Omniverse, Cosmos, Isaac, DRIVE, NIMs, NeMo)
  • Experience building agentic AI systems end-to-end (agent design, skill libraries, workflow orchestration, developer APIs)
  • Experience with OpenClaw, NemoClaw, Hermes, LangChain
  • Experience deploying AI solutions in regulated or safety-critical production environments

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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