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 Now
Apply Now