- Security and Infrastructure Engineering: Experience (typically 15+ years) across software engineering, SRE, infrastructure, and security engineering. You build systemic solutions rather than performing manual operations or "tool administration."
- Production-Grade Coding: A strong software engineering background with the ability to write clean, maintainable, and well-tested code. You should be comfortable building and operating production services at scale.
- Emerging Technology: You work with what is new rather than waiting for it to settle. Today that means writing and reviewing AI-generated code at the volume it now arrives, putting AI-assisted analysis to work in your own security engineering, and building for agents that act inside the systems you own. Tomorrow it will mean something else.
- Security Architecture in Practice: Designs you own that actually got built and run, in areas like multi-tenant isolation, identity and access, policy enforcement, vulnerability management, or detection engineering. You stayed on to operate them.
- Threat Modeling and System Design: Proven ability to build threat models for complex distributed systems, identify the architectural gaps rather than only the bugs, and engineer the solutions that close them.
- Distributed Systems and Linux Depth: Cloud-native architecture, container orchestration (Kubernetes), and hands-on Linux systems security including kernel-level primitives (eBPF, AppArmor, or SELinux).
- Influence Without Authority: Experience landing designs through teams you do not own, in environments where credibility and relationships, not org charts, determine whether the work ships.
- Foundation: Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience) with 15+ yrs of relevant experience.
Ways To Stand Out from the Crowd
- HPC/AI Security: Experience securing high-performance computing environments, RDMA-based networks, large GPU fleets, or GPU-specific security challenges.
- Cloud-Native Identity and Attestation: Expertise in workload identity frameworks (e.g., SPIFFE/SPIRE), hardware root of trust (TPM/HSM) integration, or confidential computing.
- Offensive Depth Turned Defensive: Real exploitation, red team, or security research experience that you have converted into engineering: the controls, guardrails, and detections that closed what you found for good.
- Open Source Impact: Notable contributions to security-focused open-source projects or a track record of engineering-focused security research. How have you represented and helped advance the industry?
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence.
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 272,000 USD – 431,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 10, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.