Senior Deep Learning Frameworks CUDA Software Engineer
US, CA, Santa Clara, United States
USD 184K-356K Senior-level Full Time
Tasks
- Analyze AI workloads and framework requirements
- Build multi GPU multi node solutions
- Design fault tolerant and elastic distributed solutions
- Develop profiling and runtime acceleration tools
- Improve AI compiler runtime interface
- Influence CUDA roadmap for next generation DL frameworks
- Integrate CUDA features into AI frameworks
- Write maintainable code for prototypes and releases
Perks/Benefits
- N/A
Skills/Tech-stack
AI compilers | C++ | CUDA | Distributed machine learning | HPC communication | JAX | MOE | MPI | Machine Learning | NCCL | NVIDIA Nsight | Nsight Systems | Nvidia NSight Systems | Performance Benchmarking | Pipeline parallelism | PyTorch | PyTorch Profiler | Python | Reinforcement Learning | SGLang | Systems programming | Tensor Parallelism | TensorRT | UCX | VLLM
Education
Roles
CUDA Engineer | Deep Learning Engineer | Engineer | Learning Engineer
Regions
Countries
States
Cities
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