NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. As a Senior Software Engineer in the GPU Networking Architecture team, you’ll lead advanced development and POC efforts for AI infrastructure solutions. You'll be collaborating with experts across distributed AI, deep learning, networking OS, virtualization, storage, and more. Come and join us for the cutting edge in GPU Networking!
What you’ll be doing:
- Drive advanced development and POCs for AI infrastructure solutions in cutting-edge AI networks, integrating innovative software and hardware.
- Demonstrate team architectural concepts with larger NVIDIA AI software stacks.
- Work closely with various groups within NVIDIA to bring AI network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects.
What we need to see:
- Hold a B.Sc., M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a reputable university (or equivalent experience).
- Experienced in virtualization, networking and storage.
- Proficient in C/C++ over Linux OS Development.
- 8+ years of proven experience as a software engineer.
- A teammate with a can-do attitude, high energy and excellent interpersonal skills.
- Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Ways to stand out from the crowd:
- Knowledge in Deep Learning frameworks and AI communication libraries (NCCL, UCX, MPI and equivalents).
- Experience in Kubernetes.
- Stellar communication skills.
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 in the world working for us. If you're creative and autonomous, we want to hear from you!
Skills Required
- Bachelor’s, master’s, or Ph.D. in Computer Science, Electrical Engineering, or Computer Engineering, or equivalent experience
- Experience with virtualization, networking, and storage
- Proficiency in C/C++ Linux operating system development
- 8+ years of experience as a software engineer
- Ability to collaborate and communicate effectively in multinational, multi-time-zone environments
- Can-do attitude, high energy, and excellent interpersonal skills
- Knowledge of deep learning frameworks and AI communication libraries such as NCCL, UCX, or MPI
- Experience with Kubernetes
- Excellent communication skills
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
-
Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
-
Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
.png)
