As a Senior Software Engineer in the GPU Networking Architecture team, youll 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 youll 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.
Requirements:
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.
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.
This position is open to all candidates.
