Lead GPU Networking Architect for AI Systems

NVIDIA Corporation; Zürich; On-site; CHF 140,000 - 190,000; Full time

Job summary

NVIDIA Corporation in Zürich is seeking a Senior GPU Networking Architect to join our networking software group. You will design and optimize GPU communication kernels for large-scale AI systems, leveraging CUDA and C/C++ to push performance boundaries.

Collaborate with hardware, software and AI framework teams to align GPU execution patterns with evolving model architectures; profile and optimize kernels using Nsight Compute/Systems; and contribute device-side APIs and proofs-of-concept for

Qualifications

• 5+ years of hands-on CUDA programming and kernel optimization.
• M.Sc. or equivalent in computer science, computer engineering, or a related field.
• Strong GPU architecture fundamentals: warp scheduling, shared memory, L2 cache, memory coalescing.
• Experience with systems-level C/C++ development in performance-critical environments.
• Familiarity with GPU data movement mechanisms such as GPUDirect RDMA and GPU-initiated communication.
• Ability to read and reason about GPU performance profiles (Nsight Compute, Nsight Systems) and translate observations into optimizations.
• Strong collaboration skills in a multi-national, interdisciplinary environment.

Responsibilities

• Build, implement, and optimize GPU communication kernels for large-scale AI systems.
• Leverage GPU architecture knowledge to improve kernel efficiency and reduce latency.
• Develop GPU-resident primitives and device-side APIs for kernel-initiated data movement across nodes.
• Profile and tune GPU kernels end-to-end, identifying bottlenecks across compute, memory, and network.
• Collaborate with network software, hardware, and AI framework teams on communication strategies.
• Build proofs-of-concept and run experiments to validate new strategies before production.
• Contribute to evolution of programming models exposing GPU‑aware networking capabilities.

Skills

CUDA programming

GPU architecture fundamentals

C/C++ development

GPUDirect RDMA

Nsight profiling

NCCL/NVSHMEM

Cross-team collaboration

Education

M.Sc. or equivalent in CS/CE

Tools

Nsight Compute

Nsight Systems

Job description

NVIDIA Corporation in Zürich is seeking a Senior GPU Networking Architect to join our networking software group. You will design and optimize GPU communication kernels for large-scale AI systems, leveraging CUDA and C/C++ to push performance boundaries.

Collaborate with hardware, software and AI framework teams to align GPU execution patterns with evolving model architectures; profile and optimize kernels using Nsight Compute/Systems; and contribute device-side APIs and proofs-of-concept for