Principal Engineer - System Software GPU Server

at Nvidia

📍 Santa Clara, United States

USD 272,000-431,200 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 6 Algorithms @ 7 CUDA Debugging @ 7 GPU HPC InfiniBand @ 6 Leadership @ 6 NVLink @ 6 Networking @ 7

Details

We are seeking software engineers to work on next-generation high-speed interconnect technologies. The team develops demanding high-speed I/O applications for GPUs and high-performance computing servers by collaborating with silicon architects, board and rack-level designers, and platform software experts to support innovation in factories and data centers.

The role requires strong C++ programming skills, detailed knowledge of networking concepts and algorithms, a solid foundation in systems software with an emphasis on operating system fundamentals, and a deep understanding of current-generation hardware architecture at the systems level. Excellent communication skills and a dedication to meticulous engineering practices are required.

The team also works closely with manufacturing teams to optimize NVIDIA and customer production lines and screen out defects.

Responsibilities

Work closely with architecture, hardware, and driver teams throughout the product development lifecycle of computing and graphics processors, as well as compute products.
Craft software tools and infrastructure required for new chip development, validation, and productization.
Assess new hardware features and architect diagnostic software using debug CUDA and kernel driver features.
Develop an understanding of the relevant hardware and software architectures.

Requirements

Bachelor’s or master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
15 or more years of experience in a related hardware/software position.
Strong C and C++ programming skills.
Familiarity with computer architecture and the ability to work close to the hardware.
Background with PCIe, NVLink, or server I/O technologies such as InfiniBand and Ethernet is a plus.
Previous experience working on a large system software codebase is preferable.
Very strong problem-solving and debugging skills.
Ability to self-manage, demonstrate leadership, and work effectively with others.
Ability to use AI prompt tools.

Compensation and Benefits

Base salary range: USD 272,000–431,250 per year.
Eligible for equity and benefits.
Applications will be accepted at least until May 22, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.