Staff Security Engineer - PAM and Agentic Identity

Reposted 9 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
168K-270K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Modernize and scale NVIDIA’s PAM and non-human identity services for infrastructure, service accounts, AI agents, and autonomous workflows. The role builds automation, connectors, APIs, policy-as-code, integrations, and internal tooling across hybrid environments. Responsibilities include reducing standing privilege, implementing just-in-time access, credential rotation, session recording, access reviews, and auditability. The engineer also owns service reliability through monitoring, incident response, operational readiness, and continuous improvement while collaborating across security, infrastructure, SRE, developer platforms, and business teams.
Summary Generated by Built In

NVIDIA seeks a skilled engineer to upgrade, automate, tailor, and expand our Privileged Access Management (PAM) and Non-Human Identity (NHI) capabilities to fit agentic era expectations. This position will focus on improving the value of current platforms. It will also simplify the user and operator experience and expand secure access controls for infrastructure, automation, service identities, and agentic workflows. As AI agents, coding agents, internal developer platforms, and autonomous workflows become more common across NVIDIA, this role will help ensure privileged access and infrastructure access services can scale with stronger identity, authorization, observability, and auditability.

You will engage with Enterprise Security, Product Security, infrastructure and platform SRE, developer efficiency, and business teams to reduce standing privilege, boost auditability, simplify adoption, and facilitate self-servicing at scale. This role calls for balanced hands-on experience in both infrastructure engineering and software engineering, robust system/platform engineering expertise, an SRE viewpoint, and the aptitude to build reliable automation, integrations, APIs, and internal tooling within hybrid technology environments, including AI/LLM-enabled applications and agentic workflows.

What you will be doing:

  • Modernize PAM, secure infrastructure access, and NHI services for NVIDIA’s agentic era, covering privileged users, service accounts, AI/coding/service agents, and autonomous workflows.

  • Automate and extend existing platforms through APIs, custom connectors, policy-as-code, onboarding templates, reporting, and service catalog integrations to improve self-service adoption and reduce toil.

  • Integrate PAM, NHI, and secure access controls into AI/LLM-enabled applications, agent frameworks, internal developer platforms, and autonomous workflows.

  • Expand our services coverage across Linux/Windows, cloud and on-prem systems, container orchestration platforms, data storage solutions, network devices, developer platforms, IaC, CI/CD, and internal tools.

  • Mature core controls including JIT access, zero standing privilege, session recording, break-glass access, credential rotation, access reviews, and audit evidence.

  • Own service reliability with SRE rigor, including monitoring, alerting, incident response, operational readiness, continuous improvement, and practical technology evaluation.

What we need to see:

  • Bachelor’s degree or Master’s degree in computer science or equivalent experience

  • 8+ years of experience in security, infrastructure/platform engineering, SRE, IAM, or related enterprise technology roles, including 4+ years directly related to PAM and NHI solutions.

  • Balanced infrastructure and software development skills, with the ability to operate complex production services and build automated processes, system connections, application interfaces, connectors, and operational tooling.

  • Practical experience working within Linux and Windows environments, on-prem and cloud infrastructure, Kubernetes, databases, CI/CD systems, and production operations.

  • Experience with PAM, or secrets platforms such as Idira/CyberArk, Teleport, Azure PIM, HashiCorp Vault, or similar technologies.

  • Strong SRE mentality, operational rigor, and collaboration skills across global engineering, IT, security, and platform teams.

Ways to stand out from the crowd:

  • Hands-on ability to maintain access platforms, build custom connectors, integrate unsupported targets, and automate onboarding, credential, and session workflows.

  • Familiarity with modern access patterns such as short-lived credentials, identity-aware proxies, session recording, access requests, device trust, and workload identity.

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 other objective job-related factors. The expected base salary range for this position is 168,000 USD – 270,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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.

Skills Required

  • Bachelor's or master's degree in computer science, or equivalent experience
  • 8+ years of experience in security, infrastructure/platform engineering, SRE, IAM, or related enterprise technology roles
  • 4+ years of direct experience with PAM and non-human identity solutions
  • Balanced infrastructure engineering and software development skills, including production services, automation, integrations, APIs, connectors, and operational tooling
  • Practical experience with Linux and Windows environments, on-premises and cloud infrastructure, Kubernetes, databases, CI/CD systems, and production operations
  • Experience with PAM or secrets platforms such as Idira, CyberArk, Teleport, Azure PIM, HashiCorp Vault, or similar technologies
  • Strong SRE mentality, operational rigor, and collaboration across engineering, IT, security, and platform teams
  • Experience maintaining access platforms, building custom connectors, integrating unsupported targets, and automating onboarding, credential, and session workflows
  • Familiarity with short-lived credentials, identity-aware proxies, session recording, access requests, device trust, and workload identity

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
  • Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
  • Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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