FPGA AI/ML Engineer
Tasks
- Design implement optimize FPGA logic
- Develop AI/ML software tools
- Develop distributed web based services
- Develop machine learning and computer vision algorithms
- Implement unit testing and code review
- Integrate FPGA designs into larger systems
- Maintain source code control and documentation
- Perform data curation and data linting
- Train tune AI ML models
Perks/Benefits
- N/A
Skills/Tech-stack
AMD Xilinx | C# | C++ | Computer Vision | Data Visualization | Deep learning | Distributed Systems | FPGA | GeoTIFF | Git | HDF5 | HLS | Hyperparameter Tuning | JSON | Libtorch | Machine Learning | Office 365 | PyTorch | Python | Radar Signal Processing | Service Oriented | Service-Oriented Architecture | Signal Processing | TFRecords | Ultrascale+ | VHDL | Verilog | Versal | Vitis | Vivado | Zynq
Education
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