Description
As a Software Engineer in the GPU Networking Architecture team at NVIDIA, you will lead advanced development and POC efforts for AI infrastructure solutions. You will collaborate with experts across distributed AI, deep learning, networking OS, virtualization, storage, and more.
Responsibilities:
- 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.
Requirements:
- Current student pursuing a B.Sc./M.Sc./PhD in Computer Science, Electrical Engineering, or Computer Engineering
- Proficient in C/C++ over Linux OS Development
- Skilled with gen-AI coding tools
- Excellent interpersonal skills and ability to work in a multi-national, multi-time-zone corporate environment
Nice to Have:
- Experienced in virtualization, networking
- Experience in development of Linux drives and networking stack
- Knowledge in AI communication libraries (NCCL, UCX, MPI and equivalents)
- Experience in Kubernetes