Senior Manager, Engineering — Agent Policy Fabric

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA +5 · Remote

Engineering Manager to build and lead a team delivering an enterprise governance layer for agentic AI, focusing on policy and authorization, enterprise integration, security telemetry, and policy delivery. The role involves hiring, execution ownership, and cross-functional partnerships.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

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

Nice to have

  • 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

What the JD emphasized

  • security engineering
  • authorization or policy systems
  • identity
  • agent/runtime security
  • security, infrastructure, platform, or distributed-systems software
  • enterprise or zero-trust controls
  • agent/AI platforms

Other signals

  • enterprise governance layer for agentic AI
  • autonomous agents take real action against corporate systems
  • durable, reviewable, auditable control