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Riverside Research

FPGA AI/ML Engineer – Part Time

Riverside Research

FPGA AI/ML Engineer at Riverside Research developing automation solutions for challenging Scientific & Technical problems. Working on AI/ML algorithms, FPGA designs, and integrating into operational systems.

Posted 5/28/2026part-timeRemote • 🇺🇸 United StatesSeniorLead💰 $90 - $100 per hourWebsite

Tech Stack

Tools & technologies
PythonPyTorchRemote SensingTypeScript

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • Comprehensive compensation and benefit packages

ATS Keywords

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Hard Skills & Tools
FPGA developmentVHDLVerilogCC++Pythonmachine learningcomputer visiondata collectiondata linting
Soft Skills
analytical skillscritical thinkingproblem-solvingcommunication skillscollaborationself-driven
Certifications
TS/SCI clearance