Senior Gpu Networking Architect

Sheto

Base: 292,500 pln - 650,000 pln depending on level...
Cuda programming and gpu kernel optimization
Gpu architecture fundamentals knowledge
Systems-level c/c++ development
Join a diverse and supportive environment at NVIDIA where innovation in AI and GPU computing is driven by world-class talent

Job Summary

  • Join a diverse and supportive environment at NVIDIA where innovation in AI and GPU computing is driven by world-class talent.
  • Develop and optimize GPU communication kernels that enable efficient data movement and communication in the largest AI systems globally.
  • NVIDIA offers highly competitive salaries and a comprehensive benefits package to support you and your family.

Matching Summary

Join a diverse and supportive environment at NVIDIA where innovation in AI and GPU computing is driven by world-class talent.

Salary

Base: 292,500 PLN - 650,000 PLN depending on level and location; Bonus/Equity: Not specified; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • CUDA programming and GPU kernel optimization
  • GPU architecture fundamentals knowledge
  • Systems-level C/C++ development
  • GPU-resident communication primitives
  • GPU performance profiling and tuning
  • Collaboration in multinational teams

Nice-to-have

  • Experience with NCCL or NVSHMEM libraries
  • Distributed deep learning parallelism techniques
  • Knowledge of RDMA and high-speed networking
  • Overlap techniques for communication latency
  • Optimization of large-scale LLM workloads
  • Familiarity with PyTorch and TensorRT-LLM

Key Requirements

  • 5+ years CUDA programming experience
  • M.Sc. or equivalent in computer science or related field
  • Strong understanding of GPU architecture
  • Experience with performance-critical C/C++ development
  • Familiarity with GPU data movement mechanisms
  • Ability to analyze GPU performance profiles

Work Rights

Not specified

Tailored Resume

Cover Letter