Machine Vision / Vision Application Engineer
Turn cameras, code and lighting into inspection systems that work.
Build and commission industrial vision systems that work reliably outside the lab. You will integrate cameras, optics, lighting and software, turning inspection requirements into tested image-acquisition and application workflows.
Apply now
Bengaluru preferred, with hands-on lab and prototype work. Full-time and consulting engagements considered; please state your preference and earliest availability. Compensation and engagement terms will be discussed based on relevant experience and scope.
Why Qualitas
Build real industrial imaging systems with a team that connects optics, image acquisition, application engineering and AI-powered inspection. Take engineering decisions from the bench to a working system, with clear ownership and measurable results.
What you will do
- Translate customer inspection problems into measurable image-acquisition and application requirements.
- Integrate industrial cameras and SDKs, lenses, lighting controllers, hardware triggers and synchronized capture.
- Develop and debug image-processing and calibration workflows using Python/C++, OpenCV or industrial vision libraries.
- Measure capture latency, dropped frames, image quality and repeatability; troubleshoot hardware and software together.
- Support feasibility trials, prototype validation and commissioning; document configurations, test results and handover instructions.
What you bring
- Demonstrated experience building, testing or commissioning physical machine-vision systems.
- Practical experience selecting and tuning industrial cameras, lenses, exposure and lighting.
- Working proficiency in Python and/or C++, plus OpenCV or an equivalent industrial vision toolkit.
- Experience with camera SDKs and acquisition interfaces such as GenICam, GigE Vision or USB3 Vision.
- Ability to diagnose calibration, synchronization, image-quality and integration issues systematically.
Useful additional experience (optional)
- PLC/industrial I/O integration, multi-camera systems, OCR, gauging or visual defect inspection.
- Production deployment, performance optimization, Linux/Windows IPCs or edge inference.
Your initial focus
Bring up a repeatable camera-and-lighting capture pipeline, validate calibration and timing, and demonstrate a working inspection prototype with clear test evidence.
Apply: Machine Vision / Vision Application Engineer
Email your CV or professional profile to [email protected] with the role title in the subject. Include a brief description of one or two systems you have personally built, your contribution and measured results, your location, notice period/availability and preferred engagement type. Share only work you are permitted to disclose.
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