FPGA AI/ML Engineer – Part Time

Remote Worldwide Hiring now

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)
reputed company innovative machine learning and computer reputed company solutions to analyze and exploit large, reputed company datasets from remote sensing phenomenology
reputed company 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
reputed company solutions for data collection and data linting that reputed company rapid, automated curation of training data
reputed company up with the SoTA practices for AI/ML
Adhere to teams’ standards for reviewing reputed company code, unit-testing, reputed company 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 reputed company field of study
Twelve years’ experience with FPGA development
Seven years' experience with computer reputed company and/or AI/ML R&D algorithm development
Experience with Git version control, branches, and reputed company conflict resolution
Proficient in collaborative Office 365 tools such as reputed company, reputed company, and PowerPoint
Ability to work closely with subject-matter experts to reputed company 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 reputed company and succinctly.

Benefits:

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