Senior Software Engineer, Fabric Networking - GPU

at Nvidia

USD 152,000-287,500 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.

CUDA @ 4 Debugging @ 6 Deep Learning GPU HPC InfiniBand @ 7 Linux @ 7 Networking @ 7 Perl @ 4 Python @ 4 System Architecture @ 7

Details

NVIDIA is looking for highly motivated Senior Software Engineers to join the GPU Fabric Networking team. The team develops and maintains software that enables communication between GPUs powering products in high-performance computing and deep learning.

Responsibilities

Design, implement, and maintain system software that enables communication between GPUs.
Participate in the architectural definition and design of next-generation communication hardware and software for large-scale computing platforms.
Work with cross-disciplinary teams to understand business requirements and align software direction with those needs.

Requirements

B.S., M.S., or Ph.D. in computer science or a related field, or equivalent experience.
5+ years of relevant experience.
Excellent C/C++ programming and debugging skills.
Shell scripting experience; Python and Perl experience are a plus.
Experience writing software applications that interface with device drivers and expose associated hardware functionality.
Strong understanding of computer system architecture, operating systems, and kernel internals.
Strong experience with Linux and comfort working in a cross-platform environment involving Linux and Windows.
Experience with multicore, multiprocess, and multithreaded programming environments.
Strong understanding of networking fundamentals and high-performance networks such as Ethernet and InfiniBand.
Experience with operating system virtualization technologies such as KVM, QEMU, and Hyper-V.
Ability and flexibility to work and communicate effectively in a multinational, multitime-zone corporate environment.

Preferred Qualifications

Understanding of the CUDA programming model and NVIDIA GPUs.
Knowledge of memory coherence and consistency models.
Familiarity with static and dynamic code analysis, fuzzing, negative testing, and other techniques.

Compensation And Benefits

The base salary range is USD 152,000–241,500 for Level 3 and USD 184,000–287,500 for Level 4. Base salary is determined based on location, experience, and the pay of employees in similar positions. The role also includes eligibility for equity and benefits.

NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. Applications will be accepted at least until July 30, 2026. This posting is for an existing vacancy.