Research Engineer II/III - FPGA, GPU programming

SRI InternationalAnn Arbor, MI
Onsite

About The Position

This position is for a Research Engineer based in Ann Arbor, MI, focusing on real-time hardware and embedded software. The role involves participating in multi-disciplinary, collaborative teams to develop state-of-the-art remote sensing and surveillance processing algorithms and software for real-time hardware, including electro-optic/infrared and active/passive radar imaging systems. Candidates should have experience with either real-time hardware or embedded software, with a willingness to learn the other. The position is part of the Advanced Technology and Systems Division (ATSD), which aims to create competitive advantages for customers through new technology and concepts, leading to disruptive, low-cost, high-performance solutions. ATSD advances areas such as radar and electronic warfare, novel imaging technology, robotics, quantum sensing and metrology, marine technology, and applied optics.

Requirements

  • RE II - Bachelors with 2+ years OR M.S. degree; RE III - Bachelors with 5+ years OR MS with 3+ years of related experience
  • Area of study - Electrical Engineer, Computer Engineering, Computer Science, Physics, Math, or another related field
  • U.S. Citizenship with ability to obtain and maintain a U.S. government security clearance required
  • Experience with software development in C and/or C++
  • Embedded systems – FPGA and/or GPU systems (CUDA, OpenCL)
  • Experience with Unix/Linux operating system and multi-threaded/parallel computing
  • Strong analytical ability
  • Ability to support occasional travel associated with meetings and/or data collections

Nice To Haves

  • Digital Signal Processing (DSP) theory and implementation
  • Experience with Matlab and/or Python
  • Networking hardware/software/administration
  • Basics of digital system design

Responsibilities

  • Implementation of complex algorithms on real-time hardware
  • Collaboration with algorithm developers to enhance performance of algorithms on real-time hardware
  • Development of software to control sensors and processing nodes
  • Configure processing nodes to optimize performance
  • Participate in laboratory work, collecting and analyzing sensor data

Benefits

  • competitive benefits package
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