Staff Software Engineer, ML Performance and Accelerators
Tasks
- Analyze system bottlenecks
- Build ML performance simulators
- Co-design hardware features
- Collaborate cross-functionally
- Define performance metrics
- Design compute networking memory
- Develop ML benchmarks
- Measure analyze ML performance
- Optimize ML performance
- Translate performance insights into roadmap improvements
- Visualize performance data
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarking | C++ | Co-design | Compiler | Compute Systems | Distributed Systems | Hardware Simulators | Hardware-Software Co-design | Hardware/software | JAX | Language Models | Large Language Models | Low-level software | Machine Learning | Machine Learning Accelerators | Machine Learning Infrastructure | Memory systems | Networking | Performance Analysis | PyTorch | Python | Software Co-design | Software simulators | TPU
Education
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