Principal Product Manager, Agentic Workflows - Autonomous Vehicles

About the role

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.

Responsibilities

• 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

Requirements

• 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 platforms
• Demonstrated 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

Qualifications

• 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
• Experience with OpenClaw, NemoClaw, Hermes, LangChain
• Experience deploying AI solutions in regulated or safety-critical production environments

Skills

• 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 platforms
• Demonstrated 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

Benefits

• 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.

Pay

• 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.

Schedule

• Full time