Partner closely with teams across Enterprise Security, Product Security, Enterprise AI, Enterprise Product and relevant platform teams to align architecture with real workflow needs and operational constraints.
Contribute to architectural direction, reviews, and engineering standards for agentic identity and related security infrastructure across the company.
Help evaluate emerging standards, open-source technologies, and vendor capabilities in agentic identity, and translate the relevant pieces into pragmatic internal builds and roadmap recommendations.
What we need to see
Bachelor’s degree or Master’s degree or equivalent experience in Computer Science or a related field.
15+ years in software engineering, security engineering, identity, distributed systems, or related areas, including significant hands-on technical leadership.
Proven track record to frame sophisticated problem spaces, define an MVP, prototype quickly, and evolve ideas into reliable production systems..
Strong software engineering skills, including crafting and building backend services, APIs, automation, or platform components in programming environments. The role requires quickly learning new languages, frameworks, and tools as needed.
Experience in offensive security, adversarial thinking, red teaming, or attack-path analysis, capable of applying that perspective to architecture decisions and security tradeoffs.
Experience with device trust, endpoint posture, or hardware-backed trust signals, and an understanding of how device identity and device state can strengthen access decisions for agentic, workload, and human-to-agent workflows.
Ability to collaborate across organizational boundaries, balance security with usability and adoption, and drive pragmatic technical outcomes through influence.
Hands-on experience with container technologies (Docker, containerd, or equivalent), network infrastructure (proxies, routing, firewalls, VPNs), and general cloud service provider (CSP) environments (AWS, Azure, or GCP)
Good understanding of existing and emerging identity and access concepts such as OAuth 2.0/2.1, OIDC, SCIM, mTLS, SPIFFE, MCP, AuthZen, certificate lifecycle management, and secrets management.
Ways to stand out from the crowd
Strong full-stack or software engineering instincts, including the ability to build reusable frameworks, APIs, and tooling that improve engineering velocity and consistency.
Experience with agentic or AI-adjacent systems, such as tool-using applications, workflow orchestration, evaluation loops, policy controls, memory/context services, or trust and discovery systems.
Familiarity with AI-specific security risks such as prompt injection, tool misuse, unauthorized access expansion, data exfiltration, or unsafe delegation patterns.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most intelligent and hardworking people in the world working for us. If you're creative and autonomous, 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 240,000 USD - 379,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 14, 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.
