Hardware Machine Learning Engineer
Chicago, United States; New York, United States
USD 200K-225K Mid-level Full Time
Tasks
- Apply quantization methods to improve system performance
- Architect ML models with hardware constraints
- Evaluate neural architecture search research for hardware systems
- Implement verify and deploy ML inference on custom hardware
- Track emerging ML systems research
- Translate ML requirements into hardware architecture decisions
Perks/Benefits
Skills/Tech-stack
ASICs | Architecture Search | C++ | FPGAs | Fixed point | Fixed-point arithmetic | HLS | Latency optimization | ML Systems | Machine Learning | Model Quantization | Neural Architecture | Neural Architecture Search | Neural Networks | Numerical precision | PyTorch | Python | Resource utilization | SystemVerilog | TensorFlow | VHDL
Education
Regions
Countries
States
Cities
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