NVIDIA Corporation

Principal Cyber Security Engineer - Agentic Identity and Security

NVIDIA Corporation • $240K — $379K *
Santa Clara, CA 95051In-Person
Information Technology
11 - 15 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's in Computer Science or related field
  • 15+ years in software/security engineering and identity-related fields
  • Proficient in defining MVPs and producing reliable systems
  • Strong backend development and API building skills
  • Experience in offensive security and red teaming
  • Expertise in device trust and identity issues
  • Ability to collaborate and influence across teams
  • Hands-on experience with containers and cloud environments
  • Understanding of identity/access concepts like OAuth and mTLS

Responsibilities

  • Architect and build agent identity security features for diverse environments
  • Rapidly identify MVPs for security and identity issues
  • Prototype solutions and validate them with internal teams
  • Create reusable skills, tools, APIs, and integration patterns
  • Collaborate with teams to align architecture with operational needs
  • Contribute to engineering standards for security infrastructure
  • Evaluate emerging standards and translate them into actionable insights

Benefits

  • Equity options
  • Comprehensive health and wellness programs
  • Flexible working hours
  • Opportunities for professional development
  • Collaborative work environment
Full Job Description
We are seeking a Principal Engineer to help define and build core agentic identity capabilities that enable trusted AI agents across NVIDIA's internal ecosystem. This is a hands-on engineering role for someone who can turn complex problems into practical designs, quickly prototype solutions, and work across identity, security, platform, and application teams to bring the right infrastructure into production.

What you will be doing:
  • Architect and build agent identity security features for agent use cases across cloud, on-premises, and hybrid environments. Apply relevant standards and patterns where possible. Rapidly prototype, validate, and iterate on innovative ways when gaps remain, such as credential brokering, token exchange, delegation, workload identity, and lifecycle management.
  • Rapidly identify the highest-value MVP for ambiguous security and identity problems, prototype solutions, validate them with partner teams, and iterate toward production-ready services.
  • Build reusable skills, CLI tools, APIs, and integration patterns that help internal teams embrace secure agent identity approaches across enterprise tools and platforms.
  • 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.


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 April 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Manufacturing & Automotive
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ
NVDA
* Ladders Estimates

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