ML Systems Engineer — Inference Acceleration
Tasks
- Analyze performance bottlenecks
- Build profiling benchmarking infrastructure
- Co design software abstractions with hardware teams
- Design multi device model mappings
- Develop and optimize custom kernels
- Implement continuous batching and KV cache management
- Optimize AI model inference execution
- Optimize inference serving
Perks/Benefits
- Healthcare coverage
- Paid time off
- Pension contributions
- Professional development support
- Stock options
Skills/Tech-stack
Benchmarking | C++ | CUDA | Communication and Computation Overlap | Compiler optimization | Computer Architecture | Continuous batching | Distributed Training | Expert parallelism | GPU Programming | Graph Execution | HIP | High Performance | High-Performance Computing | KV cache | MLIR | Machine Learning | Memory Management | Operator fusion | Paged Attention | Parallelism | Performance Computing | Pipeline parallelism | Prefill and Decode | Prefill and Decode Scheduling | Profiling | Python | ROCm | Scheduling | Sequence parallelism | Tensor Parallelism | TensorRT-LLM | Tiling | Transformer Inference | Triton
Education
N/A
Roles
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