Machine Learning Engineer
San Jose, California, United States, United States
USD 200K-290K Senior-level Full Time
Tasks
- Automate placement routing and logic synthesis optimization
- Build tools scripts and CI CD workflows for model conversion quantization pruning and deployment
- Collaborate with hardware architects and engineering teams to gather requirements define success metrics and deliver solutions
- Design execute benchmarks analyze compile time QoR scalability
- Develop optimize deploy machine learning technologies for FPGA compiler performance
- Evaluate integrate machine learning models and frameworks for compiler optimization
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Benchmarking | C plus plus | CI/CD | EDA Tools | High Performance | High-Performance Computing | Inference pipeline | Learning frameworks | Logic synthesis | Machine Learning | Machine Learning Frameworks | Model Optimization | Performance Computing | Placement | Pruning | PyTorch | Python | Quantization | Quartus | Routing | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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