FPGA AI/ML Engineer – Part Time
Job Description:
- Design, implement, and optimize FPGA logic using AMD/Xilinx toolchains (Vivado, Vitis, HLS) development in VHDL/Verilog
- Integrate FPGA designs into larger systems, ensuring robust verification, documentation, and deployment across multiple platforms (Zynq, UltraScale+, Versal)
- Develop innovative machine learning and computer vision solutions to analyze and exploit large, complex datasets from remote sensing phenomenology
- Develop algorithms and associated software tools using C/C++/Python and associated machine learning libraries (PyTorch, LibTorch)
- Train AI/ML models and tune their hyperparameters for a given dataset and algorithm objectives
- Provide solutions for data collection and data linting that enable rapid, automated curation of training data
- Keep up with the SoTA practices for AI/ML
- Adhere to teams’ standards for reviewing source code, unit-testing, source code control, and documentation practices
- Utilize Python PEP8 standards
Requirements:
- TS/SCI clearance.
- Bachelors’ degree in either Computer Engineering, Electrical Engineering, Mathematics, Statistics, Physics, Computer Science, or related field of study
- Twelve years’ experience with FPGA development
- Seven years' experience with computer vision and/or AI/ML R&D algorithm development
- Experience with Git version control, branches, and merge conflict resolution
- Proficient in collaborative Office 365 tools such as MS Word, Excel, and PowerPoint
- Ability to work closely with subject-matter experts to develop tools, algorithms, and datasets needed for developing relevant and useful AI/ML prototype algorithms
- Self-driven, strong analytic, inferencing, critical thinking, and creative problem-solving skills
- Communicates highly technical results and methods clearly and succinctly.
Benefits:
- Comprehensive compensation and benefit packages
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