Senior Deep Learning Framework Communications Engineer
Tasks
- Author custom communication or fused compute communication kernels
- Benchmark AI cluster performance
- Conduct AI workload performance characterization
- Design fault tolerant elastic solutions
- Improve AI compilers for communication hiding
- Influence roadmaps for communication libraries
- Integrate communication libraries features into AI frameworks
- Perform multi GPU communication requirement analysis
Perks/Benefits
Skills/Tech-stack
C++ | CUDA | CuTe | Elasticity | Fault Tolerance | GPUDirect | JAX | MPI | NCCL | NVIDIA Nsight | NVSHMEM | Nsight Systems | Nvidia NSight Systems | Performance Benchmarking | PyTorch | PyTorch Profiler | Python | SGLang | TRT-LLM | Topology Discovery | Torch.compile | Triton | VLLM
Education
Regions
Countries
States
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