Join our team developing the hottest apps in the industrial mushroom farming sector. As Senior Computer Vision & Embedded Systems Engineer focused on leading-edge computer vision & robotics applications, you will play a pivotal role in developing and applying cutting-edge technologies to optimize key aspects of our mushroom cultivation processes.
At MycoSense, we aren't just building models; we are building the eyes of industrial mushroom cultivation. You will be responsible for the end-to-end vision pipeline that powers our vision units and robot integrations. We work in the real world—where lighting changes, dust exists, and latency kills.
What You'll Do
- Architect Vision Pipelines: Design and deploy real-time CV systems for mushroom detection, grading, and room scanning that run 24/7 in industrial environments.
- Hardware Ownership: Select and integrate industrial camera sensors, optimize optics, and manage the vision interface with NVIDIA Jetson Orin modules.
- Edge Optimization: Retrain standard industry models and optimize them for use in edge devices.
- Robotics Integration: Work directly with the robotics team to close the loop between vision perception and high-speed robotic picking (Delta-robots).
- Physical Debugging: Solve the hard problems of "Vision in the Wild," including motion blur, varying focal planes, and environmental interference.
Who You are
- Experience: 5+ years of professional experience in Computer Vision, specifically for industrial automation, robotics, or medical imaging.
- The Stack: Advanced proficiency in Python, numpy and opencv bindings, optimizing code for fast execution
- The Hardware: Deep hands-on experience with the NVIDIA Jetson ecosystem (Orin/Xavier)
- Deployment: Proven track record of deploying algorithms into production environments where latency is a critical KPI.
- Education: Master's or Ph.D. in CS, EE, or Robotics—but your portfolio of shipped physical products matters more than your thesis.
