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Senior Manager, Engineering — Agent Policy Fabric

US, CA, Santa Clara; US, TX, Remote; US, TN, Remote; US, CO, Remote; US, FL, Remote; US, CA, Remote
Full Time Remote

Summary

Job Description

NVIDIA is building an enterprise governance layer for agentic AI — the layer that lets autonomous agents take real action against corporate systems under durable, reviewable, auditable control. We are looking for an Engineering Manager to build and lead the team that delivers it: hiring and growing the engineers, owning execution from architecture to shipped software, and driving the cross-company partnerships — across security, runtime, identity, and product — that turn a reference architecture into dependable systems.

What You'll Be Doing:

  • Build and lead the team. Hire, grow, and retain a senior team spanning policy and authorization platform, enterprise integration and credentials, security telemetry and audit, and policy supply chain and delivery. Set a high engineering bar, a clear sense of mission, and a healthy, inclusive culture.

  • Own delivery and execution. Turn the reference architecture and roadmap into scoped, sequenced, shippable work; manage dependencies, risk, and trade-offs; and keep the team on the highest-leverage path from early build toward enterprise deployment.

  • Drive cross-organization execution. Partner with Product Security, runtime-substrate owners, Identity, IT, Fleet/MDM, SecOps, signing and trust services, corporate-resource owners, and detector vendors to land shared interfaces and unblock the team — representing the team's commitments, dependencies, and bounded claims clearly.

  • Partner with technical leadership. Work closely with the Principal Security Architect and the Principal platform engineer so architecture decisions become executable plans and engineering reality informs the architecture; help drive open decisions to closure.

  • Operate with security rigor. Run the team's review, threat-modeling, and assurance cadence with Product Security; build the quality, on-call, and operational practices an enterprise control plane requires; and keep claims honest and ownership clear.

  • Communicate up and out. Give senior leaders and partners a clear, current view of progress, risk, staffing, and the evidence required before broader deployment.

What We Need To See:

  • Bachelor's degree (or equivalent experience) with 10+ overall years in software engineering and 3+ years leading and growing engineering teams, including senior engineers.

  • A track record building and leading teams that delivered security, infrastructure, platform, or distributed-systems software through ambiguity.

  • Strong technical judgment in at least one core area — security engineering, authorization or policy systems, identity, or agent/runtime security — sufficient to lead the team credibly, prioritize well, and defend bounded claims.

  • Cross-functional leadership: aligning multiple owners across security, runtime, identity, product, and partner teams, and turning architecture into delivered software.

  • Clear written and verbal communication with executives, partners, and engineers.

Ways to Stand Out from the Crowd:

  • Built or scaled a team in security, identity, policy/authorization, supply-chain security, or agent/AI platforms.

  • Delivered enterprise or zero-trust controls, or platform contracts adopted by other teams.

  • Led engineering in an open-source or public-interface model (upstream contribution, community-governed standards).

  • A track record of growing senior engineers (and managers), and of recruiting in competitive markets.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: AI, Data Engineering, Data Science. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 26, 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.

About Nvidia

Nvidia

NVIDIA is one of the most influential technology companies in the world, powering the modern era of artificial intelligence, high-performance computing, graphics, and autonomous systems. Originally known for its leadership in gaming GPUs, NVIDIA has evolved into the backbone of AI infrastructure, designing the chips, software, and systems that train and deploy large-scale AI models used across industries from healthcare and robotics to autonomous vehicles and scientific computing.

For job seekers, NVIDIA offers opportunities at the forefront of deep tech, spanning software engineering, AI research, systems engineering, hardware design, networking, robotics, and developer tools. A major focus of its work is the CUDA software platform and AI ecosystem, which enables developers to program GPUs at massive scale and has become foundational to modern machine learning and data center computing. This makes NVIDIA especially attractive to engineers, researchers, and technologists who want to work directly on the infrastructure powering today’s AI revolution.

Unlike traditional hardware companies, NVIDIA operates as a full-stack computing platform company, integrating silicon, systems, and software into a unified ecosystem. Employees may work on everything from GPU architecture and data center systems to AI frameworks, simulation platforms like Omniverse, and autonomous vehicle technology through the DRIVE platform. This breadth allows teams to operate at the intersection of research and production-scale deployment, with direct impact on global computing infrastructure.

As demand for AI, accelerated computing, and autonomous systems continues to grow rapidly, NVIDIA remains one of the most important employers in technology and advanced engineering. For professionals seeking a high-impact career at the center of AI development—where breakthroughs quickly translate into real-world systems at global scale—NVIDIA stands out as one of the most dynamic and sought-after destinations in the industry.

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