Principal Cyber Security Engineer – Agentic Identity and Security

Job not on LinkedIn

🔥 14 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $240k - $379.5k / year

⏰ Full Time

🔴 Lead

👮‍♂️ Cybersecurity / Security Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Architect and build agent identity security features across cloud, on-premises, and hybrid environments • Apply relevant standards and patterns, and prototype solutions for credential brokering, token exchange, delegation, workload identity, and lifecycle management • Identify high-value MVPs for ambiguous security and identity problems • Rapidly prototype, validate with partner teams, and iterate toward production-ready services • Build reusable skills, CLI tools, APIs, and integration patterns for secure agent identity adoption • Partner with Enterprise Security, Product Security, Enterprise AI, Enterprise Product, and platform teams • Contribute to architectural direction, reviews, and engineering standards • Evaluate emerging standards, open-source technologies, and vendor capabilities • Translate relevant technologies into pragmatic internal builds and roadmap recommendations

🎯 Requirements

• 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 • Ability to quickly learn new languages, frameworks, and tools as needed • Experience in offensive security, adversarial thinking, red teaming, or attack-path analysis • Experience with device trust, endpoint posture, or hardware-backed trust signals • Ability to collaborate across organizational boundaries, balance security with usability and adoption, and drive pragmatic technical outcomes through influence • Hands-on experience with Docker, containerd, or equivalent container technologies • Hands-on experience with network infrastructure, including proxies, routing, firewalls, and VPNs • Experience with AWS, Azure, or GCP environments • Good understanding of OAuth 2.0/2.1, OIDC, SCIM, mTLS, SPIFFE, MCP, AuthZen, certificate lifecycle management, and secrets management • Strong full-stack or software engineering instincts • Experience with agentic or AI-adjacent systems • Familiarity with AI-specific security risks such as prompt injection, tool misuse, unauthorized access expansion, data exfiltration, or unsafe delegation patterns

🏖️ Benefits

• Equity • Benefits