Principal Product Manager, Agentic Workflows, Autonomous Vehicles

Nvidia

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $240,000–$379,500 / yr
Posted: 13 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $230k

This role $310k

$161k most similar roles pay here $403k

This role pays more than 90% of similar roles. Most pay $192,762–$267,875 — the shaded band above. At the midpoint, this role pays about $310k versus about $230k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Principal Product Manager, Agentic Workflows, Autonomous Vehicles

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Principal Product Manager, Agentic Workflows - Autonomous Vehicles joins the Automotive Product Management team to design and drive the implementation of AI-agent-powered workflows for autonomous vehicle development. This role involves defining product visions, architectures, and roadmaps for automated processes including data curation, labeling, simulation, training, validation, and deployment. The individual will build reusable agents, skills, and orchestrated workflows while managing packaging, documentation, and stakeholder alignment to ensure developer adoption. Key technical requirements include expertise in machine learning, large language models, generative AI, and agentic frameworks like multi-agent orchestration and retrieval-augmented generation. Preferred experience includes autonomous vehicle pipelines, ADAS, and edge computing. Candidates may utilize tools such as CUDA, TensorRT, Omniverse, Cosmos, Isaac, DRIVE, NIMs, NeMo, OpenClaw, NemoClaw, Hermes, and LangChain to solve complex problems in the automotive software development space.

What does a Product Manager earn in California?

Median $223300 from 163 postings across 44 companies.

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Skills

Generative AI LLMs Agentic AI Frameworks Multi-agent Orchestration CUDA TensorRT Omniverse Cosmos Isaac DRIVE NIMs NeMo LangChain OpenClaw NemoClaw Hermes Edge Computing Agile AV Development Pipelines

What you'll do

Define the product vision, architecture, and roadmap for agentic workflows supporting autonomous vehicle development.
Design and implement end-to-end agentic workflows including specific agents, skills, tools, and orchestration logic.
Package and productize AI agents and workflows to ensure they are discoverable and integrable by internal and external developers.
Synthesize requirements from engineering teams, customers, and regulations to prioritize high-impact workflow capabilities.
Drive execution across hardware and software teams through architecture reviews, metric tracking, and sprint planning.
Define use cases, acceptance criteria, and success metrics for all agentic workflows to ensure safety and quality.
Negotiate feature roadmaps and prioritize requirements with internal stakeholders and external customers.
Develop standards, tools, and documentation to enable developer self-service adoption of agentic workflows.

What we're looking for

BS/MS degree in Engineering, Computer Science, or a related field.
15+ years of product management experience across both software and hardware platforms.
Strong understanding of ML/AI principles, including LLMs, generative AI, and agentic AI frameworks.
Demonstrated experience defining and shipping AI-powered developer tools, platforms, or workflow automation products.
Experience with autonomous vehicle development pipelines or ADAS is strongly preferred.
Familiarity with on-device or edge computing for deploying AI models in automotive systems.
Proven track record of leading the launch of technically complex products to customers.
Strong technical leadership and communication skills to drive alignment across large organizations and with customers.

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