FPGA AI/ML Engineer – Part Time

Worldwide Salaried Open

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:

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