Job Description
DESCRIPTION: We’re building an industrial scanner system and need a hands-on machine-vision hardware engineer who has actually built systems — not done research, not written papers, not “studied CV.”
This is a hardware-first role. You must have real experience integrating physical cameras, lenses, lighting, and trigger signals on an embedded platform. Must-Have
Experience: USB3 / MIPI / CSI or GigE Vision camera integration Real lens selection (C/CS mount, F-number, DOF, working distance) Exposure tuning, strobing, illumination control Hardware trigger wiring + timing Encoder or motion sync Mechanical mounting of cameras + vibration control Embedded controllers: Jetson / STM32 / ESP32 / similar If you’ve physically mounted cameras, tuned lighting, wired triggers, and made a vision system work in the real world, you’re the right fit.
Responsibilities: Select camera + lens combinations Design and tune illumination (LED bars, line lights, strobes) Implement external trigger + exposure sync Integrate encoder signals Build and test stable, repeatable imaging setups Assist with calibration patterns + alignment Help define mechanical layout for the scanner head Bonus (Not Required): NVIDIA Jetson (GStreamer, CSI camera integration) GenICam / GigE Vision (Basler/FLIR/IDS) Simple OpenCV for debugging Experience with conveyors or inspection systems Do NOT Apply If: You are academic / PhD / research-based You are purely an ML/AI software engineer You have no hardware delivery track record You only do models, papers, “CV competitions,” or student projects We only want builders, not theorists.
To Apply (All 4 Required): List the camera systems you’ve physically integrated (USB/MIPI/GigE). Provide a photo or brief description of imaging hardware you built. List controllers you’ve used (Jetson, STM32, ESP32, etc.). Confirm your availability to start. Apply tot his job
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