Senior GPU Networking Architect for AI Systems

NVIDIA; Germany (OH); On-site; USD 292,500 - 507,000; Full time

Benefits offered by this job

Highly competitive salaries

Comprehensive benefits package

Job summary

NVIDIA is seeking a Senior GPU Networking Architect to join our networking software group. The ideal candidate will have over 5 years of CUDA programming experience and a strong understanding of GPU architecture. Responsibilities include optimizing GPU communication kernels and collaborating across teams to enhance AI systems. This role offers competitive salaries and a comprehensive benefits package, ensuring a supportive environment for development and innovation.

Qualifications

• 5+ years of hands-on CUDA programming, including writing and optimizing non-trivial GPU kernels.
• Strong understanding of GPU architecture fundamentals: warp scheduling, shared memory, L2 cache.
• Experience with systems-level C/C++ development in performance-critical environments.

Responsibilities

• Build, implement, and optimize GPU communication kernels for large-scale AI systems.
• Collaborate with network software and hardware teams for effective communication strategies.
• Profile and tune GPU kernels to identify and optimize performance bottlenecks.

Skills

CUDA programming

GPU architecture fundamentals

C/C++ development

Collaboration skills

Education

M.Sc. in computer science or engineering

Tools

GPUDirect RDMA

Nsight Compute

Nsight Systems

Job description

NVIDIA is seeking a Senior GPU Networking Architect to join our networking software group. The ideal candidate will have over 5 years of CUDA programming experience and a strong understanding of GPU architecture. Responsibilities include optimizing GPU communication kernels and collaborating across teams to enhance AI systems. This role offers competitive salaries and a comprehensive benefits package, ensuring a supportive environment for development and innovation.