Senior Gpu Networking Architect

Invidia

Multiple Locations
Base: 292,500 pln - 507,000 pln (level 4), 375,000...
Cuda programming and gpu kernel optimization
Gpu architecture fundamentals knowledge
Systems-level c/c++ development
Join a diverse and supportive environment where innovation and talent drive the future of AI and computing

Job Summary

  • Join a diverse and supportive environment where innovation and talent drive the future of AI and computing.
  • Develop and optimize GPU communication kernels that enable efficient data movement and communication in the world’s largest AI systems.
  • Work alongside experts to co-design communication strategies and contribute to programming models exposing GPU-aware networking capabilities.

Matching Summary

Join a diverse and supportive environment where innovation and talent drive the future of AI and computing.

Salary

Base: 292,500 PLN - 507,000 PLN (Level 4), 375,000 PLN - 650,000 PLN (Level 5); 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 data movement mechanisms expertise
  • GPU performance profiling and tuning
  • Collaboration in multinational teams

Nice-to-have

  • Experience with NCCL or NVSHMEM libraries
  • Distributed deep learning parallelism understanding
  • Background in 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 concepts
  • Experience with performance-critical C/C++ development
  • Ability to analyze GPU performance profiles
  • Strong collaboration skills in interdisciplinary environments

Work Rights

Not specified

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