NVIDIA Corporation

Senior Security Architect, Cloud Authentication and Authorization

NVIDIA Corporation • $184K — $287K *
US-Anywhere
+ 3 other locationsRemote
Information Technology
8 - 10 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • 8+ years experience in cybersecurity fields including cloud and application security.
  • Extensive knowledge of IAM, cloud authentication, and authorization frameworks.
  • Bachelor's degree in a technical discipline or equivalent experience.
  • Proficiency in authentication protocols like OIDC, OAuth 2.0, and SAML.
  • Direct experience with workload and agent identities, focusing on Zero Trust principles.
  • Hands-on expertise in developing authorization boundaries for distributed systems.
  • Solid understanding of identity lifecycle management and its cryptographic implications.

Responsibilities

  • Outline the security architecture strategy for cloud identity and authorization systems.
  • Establish processes for managing various identity types including human and agent identities.
  • Develop frameworks for authorization and delegation among AI agents and enterprise connectors.
  • Lead architecture reviews and conduct threat modeling for identity and access flows.
  • Set up identity lifecycle patterns for token issuance and emergency disablement procedures.
  • Translate emerging AI security risks into actionable authentication and authorization requirements.
  • Collaborate with various teams to align architectural decisions with risk strategies.

Benefits

  • Equity eligibility in addition to base salary.
  • Opportunities for professional development and learning.
  • Collaboration with a team of industry-leading experts.
  • Market-driven benefits package tailored to your needs.
  • Engagement with innovative technology and significant projects.
Full Job Description
Are you ready to influence the future of AI and cloud security? Join NVIDIA's groundbreaking team in Santa Clara, CA, as a Senior Security Architect, Cloud Authentication and Authorization. This outstanding position enables you to guide the architectural vision for identity and authorization systems, collaborating with a group of world-class authorities committed to delivering impeccable solutions. With NVIDIA's history of innovation and your proven cybersecurity skills, you'll have the chance to drive meaningful change in the next generation of computing! What you'll be doing:
  • Outline the security architecture strategy for cloud authentication, authorization, workload identity, and agent identity across NVIDIA cloud platforms, AI-enabled systems, enterprise connectors, services, and automation.
  • Outline processes for establishing, linking, authorizing, delegating, auditing, and retiring human, workload, service, and autonomous agent identities, including attestation-supported identity issuance and certificate-based or temporary credentials.
  • Develop authorization and delegation frameworks for AI agents and enterprise connectors, encompassing consent, token exchange, prioritized authority, sensitive-action approval, revocation, and protections against confused-deputy behavior.
  • Lead architecture reviews and threat modeling for high-risk identity and access flows, turning ambiguous scenarios into practical controls that engineering teams can build and verify.
  • Establish identity lifecycle, telemetry, and emergency-disablement patterns for token issuance, policy decisions, privilege elevation, tool invocation, data access, credential rotation, grant revocation, and compromised or untrusted identities.
  • Convert emerging AI security risks into authentication, authorization, audit, and execution-boundary requirements.
  • Partner with identity, cloud, platform, application, AI security, governance, detection, and incident response teams to align architecture decisions with risk strategy and operational reality.
  • Build reusable architecture patterns, decision records, exception criteria, and implementation mentorship, staying engaged through adoption, validation, and residual-risk closure.
What we need to see:
  • 8+ years experience in cybersecurity, security architecture, cloud security, IAM, application security, product security, platform security, infrastructure security, or security engineering for distributed systems.
  • Extensive knowledge in cloud authentication, authorization, IAM, workload identity, agent identity, non-human identity, or identity architecture, combined with hands-on experience in developing, managing, deploying, or assuming direct responsibility for authentic security controls.
  • Bachelor's degree in Engineering, Cybersecurity, Data Engineering, or a related technical field, or equivalent experience.
  • Proficiency in authentication and authorization protocols and frameworks, such as OIDC, OAuth 2.0, SAML, federation, delegation, token exchange, token scope, issuer and audience boundaries, consent, mTLS, certificate-backed identity, prioritized access, and associated technologies.
  • Direct involvement in handling workload and agent identities, covering attestation processes, Zero Trust Architecture concepts, short-lived credentials, and temporary identities.
  • Experience developing authorization boundaries for distributed systems, including fine-grained authorization patterns, control points, prioritized delegation, model/data/tool access controls, sensitive-action approval, and execution boundaries.
  • Proficiency with identity and certificate lifecycle management, including enrollment, provisioning, scope definition, prioritized issuance, renewal, rotation, revocation, expiration, auditability, deprovisioning, lifecycle automation, and awareness of crypto-agility and post-quantum cryptography implications.
  • Hands-on understanding of AI security risks combined with adequate proficiency in AI-enabled systems to assess timely injection, data exfiltration, unsafe tool use, overbroad authorization, and loss of human accountability.
  • Strong foundational cybersecurity judgment, including threat modeling, architecture review, risk analysis, practical mitigation development, clear communication of assumptions, partner-team alignment, and follow-through through implementation, verification, documentation, and closure.
Ways to stand out from the crowd:
  • Experience crafting or adopting workload identity systems such as SPIFFE/SPIRE, workload identity federation, service mesh identity, policy engines, or attestation-backed identity provisioning.
  • Extensive knowledge of autonomous agent identity, delegated authority, token exchange, prioritized credentials with limited scope, certificate-backed identities, identity-aware policy controls, or ownership models for human, workload, service, and agent identities.
  • Experience crafting controls for AI agent tool use, such as per-tool authorization, policy controls points, approval gates, egress restrictions, connector-scoped credentials, or emergency disablement of compromised agents.
  • Background with crafting security architecture for enterprise connectors, AI assistants, tool integrations, automation systems, sensitive-action approvals, or cross-system authorization boundaries.
  • Experience reducing or eliminating static credentials through workload identity, short-lived credentials, certificate lifecycle improvements, auditable service identity, or automated revocation and rotation.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 3, 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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