Job description

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 #AutonomousVehicles 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 September 2, 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.

Requirements

Must-haves

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
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
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
#AutonomousVehicles
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 2, 2026.
This posting is for an existing vacancy.

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlagile

Platform: eightfold
Effort: medium

Benefits

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Vision