Advanced Development Engineering Student, GPU Networking

Job description

NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. As a 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

A 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 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. Stellar communication skills Please share your availability as part of your application.

Ways to stand out from the crowd

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 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!