Software Engineer – Embedded Systems & Computer Vision

FulcrumAir IncCalgary, AB
Hybrid

About The Position

We are seeking a skilled and driven Software Engineer to join our R&D team. The ideal candidate brings solid embedded software development experience with a strong focus on Computer Vision, and a passion for applying these skills to cutting-edge UAV and robotics platforms. You will be working in a creative, fast-paced "Skunkworks"-style environment - minimal bureaucracy, maximum freedom - where your work directly shapes industry-changing products.

Requirements

  • Bachelor's degree in Software Engineering, Computer Engineering, Electrical Engineering, or a related field
  • 3+ years of experience developing embedded software in C or C++
  • Demonstrated experience developing Computer Vision applications (e.g., OpenCV, image processing pipelines, object detection, or similar)
  • Experience with machine learning frameworks (TensorFlow, PyTorch) and deploying models on embedded or edge hardware
  • Driven - you are excited by hard problems and motivated to find elegant, reliable solutions.
  • Self-starter - you take ownership of your work and actively identify the needs and priorities of the team

Nice To Haves

  • Familiarity with CI/CD workflows and automated testing frameworks (e.g., GitLab CI)
  • Experience with wireless radios and antenna systems
  • Practical prototyping and troubleshooting skills: soldering, oscilloscope use, schematic reading
  • Familiarity with JavaScript, HTML, CSS, Node, or Vue
  • Keen interest in drones, robotics, and unmanned systems

Responsibilities

  • Design and develop control firmware for robotics and UAV platforms
  • Develop and optimize algorithms for real-time image processing and decision-making on embedded systems, with attention to latency, memory, and power constraints
  • Aid in the development of remote control applications (Qt – Windows and Android)
  • Aid in the development of web-based tooling to support operations in the field
  • Support firmware release and deployment through automated testing and CI/CD pipeline development
  • Collaborate closely with hardware engineers, robotics experts, and product managers to integrate software solutions seamlessly into our platforms
  • Document design decisions, implementation details, and research findings to support internal knowledge sharing
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