Senior Manager, Engineering - Agent Policy Fabric

Responsibilities

• 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.
• 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.
• 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.

Additional Information

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.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at NVIDIA? Share your experience