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Senior Systems Software Security Engineer – Data Center Systems

US, CO, Remote
Full Time Remote

Summary

Job Description

NVIDIA is searching for a highly motivated, creative engineer with experience in system software security to join the Data Center Systems Software team. In this role, you will focus on securing NVIDIA’s Data Center Systems. 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.

What you’ll be doing:

  • Delivering security features required for the success of NVIDIA’s Data Center business.

  • Engaging with NVIDIA teams and partners to drive implementation and deployment of security features and systems.

  • Designing, implementing, and delivering innovations to secure AI Data Center systems with focus on Root of Trust (RoT) for boot, attestation, recovery, Out-of-Band management, debug, and overall security firmware development.

  • Designing and developing optimized security solutions using and following industry standards such as OpenBMC, UEFI, TCG DICE, SPDM, PLDM, Redfish, NIST SP800-193 and CNSA2.0.

What we need to see:

  • BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience).

  • 5+ years of meaningful software and firmware security engineering experience.

  • Excellent comprehension of security fundamentals.

  • Experience with software development and lifecycle standards, e.g. threat modeling, unit testing, incident response, code audit, CI/CD etc.

  • Experience in python, scripting and system programming.

  • Background with modern server architectures.

  • Effective written and verbal communication regardless of audience or issue complexity.

  • Ability to work collaboratively and remotely with others to accomplish complex goals.

  • Solid experience of end-to-end delivery of high-end enterprise servers from definition to customer deployment.

Ways to stand out from the crowd:

  • In-depth familiarity with data center server architecture. In-depth understanding of the different deployment models for GPUs (e.g., HPC, AI cluster, single- or multi-GPU servers).

  • Experience in Data Center modern networking architectures. Contribution to industry open-source security initiatives or standards. Experience in Data Center firmware and software management architecture.

  • In-depth understanding of the Post-Quantum Cryptography transition. Experience in Linux and application security.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until December 14, 2025.

NVIDIA is committed to fostering a diverse 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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