Embedded Systems Engineer

INNOVISION RESEARCH LABORATORY, INC.
United States
22 days ago
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Role details

Contract type
Permanent contract
Employment type
Part-time (≀ 32 hours)
Compensation
$93,600 - $187,200
Working hours
Regular working hours
Job source

Tech stack

C (Programming Language) Computer Vision C++ (Programming Language) Nvidia CUDA Computer Programming Software Debugging Linux on Embedded Systems Firmware Image Registration Python (Programming Language) OpenCV Software Engineering
+3 more
Systems Integration Visual Systems Fpga Hardware

Job description

We are seeking a creative, hands-on embedded systems engineer to design, build, and program working prototypes of advanced wearable vision technology.

The project combines miniature cameras, embedded processors, LCD display , and real-time image processing.

This is a hands-on hardware and software development opportunity-not a conventional software programming position.

Responsibilities

  • Design, assemble, test, and debug prototype electronic systems.
  • Integrate miniature cameras, processors, and transparent LCDs.
  • Develop real-time image-processing and display-control software.
  • Implement low-latency algorithms for precise, spatially selective light control.
  • Troubleshoot hardware, firmware, timing, and communications.
  • Measure system performance and document test results., Paid preliminary prototyping work is available immediately. A larger research engagement is anticipated, contingent upon government grant funding.

Hours, compensation, and project arrangements will be discussed with qualified candidates.

Requirements

  • Demonstrated experience designing and building functional embedded electronic systems.
  • Programming experience with C, C++, and Python.
  • Experience interfacing cameras, sensors, processors, and displays.
  • Practical electronic prototyping, testing, and troubleshooting skills.
  • Ability to work independently and solve challenging hardware/software integration problems.

Desirable Experience

  • OpenCV, CUDA, or FPGA development.
  • Embedded Linux and real-time computer vision.
  • Camera calibration, image registration, and optical systems.
  • PCB design, wearable electronics, or LCD control systems.

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