Engineering Manager, ML Performance
Sunnyvale, CA, USA; Kirkland, WA, USA
USD 207K-300K Senior-level Full Time
Tasks
- Achieve performance for customer launches
- Collaborate on custom kernel development
- Drive compiler and runtime optimizations
- Identify performance opportunities using benchmarks
- Lead software engineers on ML training and serving benchmarks
- Participate in TPU hardware co design
- Support model preserving optimizations
Perks/Benefits
- N/A
Skills/Tech-stack
Auto sharding | Auto-tuning | CUDA | CUDA programming | CUDA runtime | Compiler optimization | Computer Architecture | Data Processing | Debugging | Distributed Systems | Fine Tuning | GPU | JAX | Kernel optimization | LoRA | ML benchmarking | MLIR | Machine Learning | Model Deployment | Model Evaluation | Model Fine-tuning | OpenXLA | Performance Analysis | PyTorch | Quantization | Sparsity | Speculative decoding | TPU | Triton | VLLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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