FPGA AI/ML Engineer – Part Time
Job reputed company:
- Design, implement, and optimize FPGA logic using AMD/Xilinx toolchains (Vivado, Vitis, HLS) development in VHDL/Verilog
- reputed company 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 reputed company, unit-testing, reputed company reputed company 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
- reputed company 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 reputed company
- Proficient in reputed company 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 reputed company reputed company and succinctly.
Benefits:
- Comprehensive compensation and benefit packages
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