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Sr. Research Engineer - Edge AI

Intellisense Systems innovates what seemed impossible.  We are a fast-growing Southern California technology innovator that solves tough, mission-critical challenges for our customers in advanced military, law enforcement, and commercial markets.  We design, develop, and manufacture novel technology solutions for ground, vehicle, maritime, and airborne applications.  Our products have been deployed in every extreme environment on Earth!

We are looking for an exceptional Sr. Research Engineer to join Intellisense’s artificial/augmented intelligence (AI) team. The AI team works to translate state-of-the-art machine learning and deep learning techniques for government customers and DoD applications. A major thrust of the team is to embed machine/deep learning algorithms on embedded hardware including state-of-the-art GPUs and FPGAs. Intellisense is looking for an embedded hardware/firmware engineer/scientist to lead these efforts. The candidate will be expected to work closely with our AI research scientists to optimize algorithms in preparation for hardware embedding.  As part of the team, you will work alongside other experienced AI scientists and engineers of multiple disciplines to develop, deploy, and embed novel cutting-edge solutions to several challenging problems including computer vision and RF communications. While machine/deep learning experience is desired, it is not a requirement.

Current Projects this Team is Working On:

  • Real-time object detection, classification, and tracking for augmented reality glasses, imagers, and displays
  • RF signal detection, classification, tracking, and identification
  • Deep learning based super-resolution
  • Optimization of cutting-edge neural network architectures for deployment on neuromorphic processors

What You'll Do:

  • Work alongside other experienced AI scientists and engineers to develop, optimize, deploy, and embed machine/deep learning algorithms in edge hardware
  • Familiarity with at least one of the following: FPGAs, SoCs, and microcontrollers.
  • Ability to interface to ingest data from electrooptical sensors (e.g. cameras) and RF sensors to acquire and process data in real-time.
  • Formulate new solutions and write proposals to solve customer problems and lead those projects.
  • Work with government and non-government representatives to ensure the system integration and fielding requirements are understood and addressed.
  • Provide technical write-ups related to system, hardware, and software development on bids and proposals.
  • Other duties as assigned

What You'll Bring:


  • BS Degree in Computer Engineering, Computer Science, Robotics, Electrical Engineering, or related field
  • U.S. Citizenship.    
  • At least 7 years of experience in embedded systems, FPGAs, RF signal processing, or machine learning.
  • Proficiency with C/C++ or VHDL/Verilog
  • Must demonstrate proficiency and knowledge in design, test, evaluation, and analysis of algorithms/software/hardware architecture.
  • Must be able to successfully contribute and lead multiple programs simultaneously, achieving required results on time and on budget
  • Ability to present technical concepts and designs to Senior Management and customers.
  • Must have excellent technical writing, verbal communication, and presentation skills.


  • Masters or PhD Degree in Computer Engineering, Computer Science, Robotics, Electrical Engineering, or related field.
  • Experience working with machine/deep learning algorithms
  • Experience deploying machine/deep learning algorithms onto embedded hardware
  • Familiarity with FPGA IDE tools (Xilinx Vivado) or microcontroller-based IDE tools (Eclipse)
  • Must be able and ready to obtain a Security Clearance or have an active Secret Security Clearance
  • Proficiency with Python
  • Proficiency with Linux environments
  • Experience working with machine/deep learning algorithms and common deep learning frameworks (e.g. TensorFlow, PyTorch)
  •  Experience with some of the following standard computer vision tasks: object detection, target tracking, image enhancement, video processing
  • Experience deploying machine/deep learning algorithms onto embedded hardware

What You Could Expect:

  • The freedom to take risks, to innovate, and to be rewarded
  • Partner with trusting leadership that approaches tasks and requests with urgency
  • Deliver products that are continually recognized as industry disruptors


  • Alternative Work Schedule (Alternating Fridays Off)
  • Medical, Vision, Dental Insurance
  • Flexible Spending Accounts 
  • Health Savings Accounts
  • 4 Weeks PTO a year (plus an additional 40 hours of PTO your first day)
  • 10 paid holidays 
  • Tuition Assistance
  • Employee Assistance Program (EAP)
  • 401(k) with 4% employer matching
  • Workers Compensation Insurance
  • Voluntary Life Insurance


Unless otherwise stated in the requirements section of an individual job listing, our positions require U.S. Citizenship, U.S. Permanent Residency, or other status as a U.S. Person as defined by 8 USC 1324b(a)(3). We are proud to be an EEO/AA employer M/F/D/V. Intellisense Systems, Inc is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or religion or other legally protected status.

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