FPGA AI/ML Engineer (Part Time)

Riverside Overview

Position Overview

Riverside Research is seeking a part time Artificial Intelligence / Machine Learning Engineer with expertise in real-time processing and FPGA development. As a valued Riverside Research employee, you will be part of a highly skilled and integrated team that analyzes intelligence data and develops automation solutions to challenging Scientific & Technical problems.

Responsibilities

FPGA experience

• 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)

AI/ML Algorithm R&D

• 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

Software development, documentation, and coding best practices:

• Adhere to teams’ standards for reviewing source code, unit-testing, source code control, and documentation practicesUtilize Python PEP8 standards

Qualifications

Required Qualifications:

• TS/SCI clearance.
• Bachelors’ degree in either Computer Engineering, Electrical Engineering, Mathematics, Statistics, Physics, Computer Science, or related field of study
• Four 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

Desired Qualifications:

• Advanced degree (MS/PhD) in Data Science, Mathematics, Statistics, Computer Science, a Physical Science or Engineering is strongly desired
• Experience with DoD intelligence production processes and workflows
• 3+ years operational experience in radar signal processing analysis, overhead imagery analysis, orbital mechanics, and/or electronic warfare data analysis
• 2+ years experience using data visualization tools and libraries in Python
• Experience with large (1 GB +) image data and formats such as HDF5, JSON, GEOTIFF, TFRecords, etc.
• Experience in development of distributed, web-based systems, service-oriented architectures, front-end user interfaces, and back-end databases are a plus
• Experience with interpretability of deep learning computer vision models including visualization and reasoning about model latent spaces and activation maps to assess model effectiveness / weaknessesFamiliarity in differences of supervised learning vs. unsupervised learning techniques

Global Comp

Closing Statement