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:
• Comprehensive compensation and benefit packages
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