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 • Four 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 Apply tot his job