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. 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
You will also be eligible for equity and benefits.
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 & Tags
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
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