AI Performance Engineer
Tasks
- Collaborate with software and firmware teams
- Diagnose heterogeneous computing issues
- Evaluate AI algorithms and models
- Meet end to end application performance goals
- Optimize models using compression
- Optimize models using pruning
- Optimize models using quantization
- Profile AI workload performance
- Select workloads and microbenchmarks
- Troubleshoot hardware and software problems
Perks/Benefits
Skills/Tech-stack
ASIC | C++ | CPU architecture | Debugging | Deep learning | Distributed Systems | GPU Architecture | Machine Learning | Memory hierarchy | Model Compression | Model Pruning | Model Quantization | NPU | Parallel Computing | Profiling | PyTorch | Python | TPU | TensorFlow | Testing | Version control
Education
N/A
Roles
AI | AI Performance Engineer | Engineer | Performance Engineer
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