Senior Manager, Engineering — Agent Policy Fabric

About the role

NVIDIA is seeking an Engineering Manager to lead the development of an enterprise governance layer for agentic AI. This role involves building and leading a team that delivers secure, auditable, and controllable AI systems across various departments.

Responsibilities

• 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.

Requirements

• 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.

Qualifications

• 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.

Skills

• Strong technical skills in security, authorization, policy systems, identity, or agent/runtime security.
• Experience in delivering complex, cross-functional projects.
• Excellent communication and collaboration skills.
• Ability to work in a dynamic, rapidly changing environment.

Benefits

• Competitive salaries and a generous benefits package.
• Opportunities to work on cutting-edge technologies in AI, Data Engineering, and Data Science.
• A supportive and inclusive work environment.

Pay

Base salary range: $272,000 - $431,250 USD.

Schedule

Full-time position.

Application Instructions

Applications for this job will be accepted at least until June 26, 2026.