Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 4
Hiring @ 4
Leadership @ 4
Communication @ 4
Technical Leadership @ 4
Audit @ 4
AI @ 4
Agentic AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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. The company is hiring an Engineering Manager to build and lead the team that delivers this layer: hiring and growing engineers, owning execution from architecture to shipped software, and driving cross-company partnerships across security, runtime, identity, and product.
Responsibilities
- 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, mission clarity, and an inclusive culture.
- Own delivery and execution: turn the reference architecture and roadmap into scoped, sequenced, shippable work; manage dependencies, risk, and trade-offs; and guide the team 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.
- Partner with technical leadership: work closely with the Principal Security Architect and Principal platform engineer so architecture decisions become executable plans and engineering reality informs architecture.
- Operate with security rigor: run the team's review, threat-modeling, and assurance cadence with Product Security; build quality, on-call, and operational practices required for an enterprise control plane; and keep claims and ownership clear.
- Communicate up and out: provide 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, 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
- 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.
Compensation and Benefits
- Base salary range: 272,000 USD - 431,250 USD (final base salary determined by location, experience, and comparable roles).
- You will also be eligible for equity and benefits (link to NVIDIA benefits provided in the posting).
Additional Information
- Applications accepted at least until June 26, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and affirms a commitment to an inclusive work environment.