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Senior Software Engineer, Security

US, CA, Santa Clara; US, CA, Remote
Full Time Remote

Summary

Job Description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for an outstanding Senior Software Engineer to work on our security team focused on securing at scale infrastructure, high-performance computing environments, and AI cluster systems. Be a key player in protecting some of the most sophisticated computing hardware, software, and datacenter platforms in the world. You will help design, implement, and evolve security systems, policies, and operational practices that protect critical infrastructure and intellectual property. You will work with engineering, infrastructure, research, platform, legal, compliance, and executive teams to identify risks, respond to incidents, and build resilient security programs for next-generation AI infrastructure.

What you'll be doing:

  • Develop and lead incident response and disaster recovery plans for pre-production clusters.

  • Work with infrastructure, networking, storage, OS, firmware, and application teams to harden systems.

  • Train peers and users on practical security standard methodologies.

  • Build and enforce security controls, systems, and policies for cluster infrastructure of new NVIDIA hardware.

  • Identify, assess, and reduce cybersecurity risks; report major risks clearly to leadership.

  • Investigate security incidents and drive root-cause analysis.

  • Ensure systems meet IT, legal, regulatory, and information security standards.

  • Improve security governance, documentation, and audit readiness

What we need to see:

  • Experience in programming secure computing environments, with strong proficiency in C/C++.

  • Linux kernel hardening (SELinux/AppArmor) and observability (eBPF).

  • Experience securing large-scale Linux infrastructure.

  • Proven understanding of security risks and how to reduce them.

  • Demonstrated understanding of incident response and breach handling.

  • Clear written and verbal communication with technical and leadership audiences.

  • Experience with compute and networking systems security architectures.

  • Experience in securing AI agents using sandboxing technologies and AI-based threat detection (e.g. Mythos)

  • BS in Computer Science, Engineering, Cybersecurity, or equivalent experience. 8+ yrs of relevant experience.

Ways to stand out from the crowd:

  • Developing secure software in Rust, prioritizing memory safety. Experience with modern authentication and identity frameworks such as OAuth 2.1, OIDC, Kerberos, FIDO2/WebAuthn.

  • Experience with Microsoft Active Directory and Entra ID, including cross-realm trusts and identity federation (SCIMv2). Experience managing centralized Linux identity (FreeIPA/RHEL IdM/SSSD), including PKI lifecycle management and Host-Based Access Control.

  • Experience hardening HPC schedulers and storage, Slurm alongside parallel filesystems like Lustre and NFS.

  • Experience securing containerized workloads (Docker, Enroot, Kubernetes). Knowledge of high-speed fabric security like InfiniBand PKeys/MKeys.

  • Zero Trust, ZTNA, VRFs, VLANs, performance-optimized firewalls. Use of advanced vulnerability management and supply chain mitigation (CVSS 4.0, SBOM).

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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 6, 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.

About Nvidia

Nvidia

NVIDIA is one of the most influential technology companies in the world, powering the modern era of artificial intelligence, high-performance computing, graphics, and autonomous systems. Originally known for its leadership in gaming GPUs, NVIDIA has evolved into the backbone of AI infrastructure, designing the chips, software, and systems that train and deploy large-scale AI models used across industries from healthcare and robotics to autonomous vehicles and scientific computing.

For job seekers, NVIDIA offers opportunities at the forefront of deep tech, spanning software engineering, AI research, systems engineering, hardware design, networking, robotics, and developer tools. A major focus of its work is the CUDA software platform and AI ecosystem, which enables developers to program GPUs at massive scale and has become foundational to modern machine learning and data center computing. This makes NVIDIA especially attractive to engineers, researchers, and technologists who want to work directly on the infrastructure powering today’s AI revolution.

Unlike traditional hardware companies, NVIDIA operates as a full-stack computing platform company, integrating silicon, systems, and software into a unified ecosystem. Employees may work on everything from GPU architecture and data center systems to AI frameworks, simulation platforms like Omniverse, and autonomous vehicle technology through the DRIVE platform. This breadth allows teams to operate at the intersection of research and production-scale deployment, with direct impact on global computing infrastructure.

As demand for AI, accelerated computing, and autonomous systems continues to grow rapidly, NVIDIA remains one of the most important employers in technology and advanced engineering. For professionals seeking a high-impact career at the center of AI development—where breakthroughs quickly translate into real-world systems at global scale—NVIDIA stands out as one of the most dynamic and sought-after destinations in the industry.

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