Vision Systems Engineer
A mid-sized, US-based advanced-manufacturing group drives continuous improvement through cutting-edge automation. Multidisciplinary teams—mechanical, controls, data—cooperate to shorten launch cycles and reduce scrap. You will join a culture that rewards initiative, knowledge sharing, and measurable results.
Key Responsibilities
- Lead feasibility studies that quantify lighting, optics, and sensor requirements for new inspection tasks.
- Architect end-to-end vision systems using Cognex VisionPro, HALCON, or Keyence libraries; document lens, filter, and enclosure selections.
- Develop robust C++/Python image-processing algorithms for defect detection, OCR, and dimensional gauging; maintain reusable code modules.
- Integrate vision stations with PLCs, SCADA layers, and six-axis robots; configure Ethernet/IP, Modbus TCP, or OPC UA communication.
- Calibrate multi-camera setups for sub-pixel accuracy—coordinate robot frames, conveyor encoders, and vision coordinates.
- Tune illumination (LED bar, dome, coaxial) to minimize glare on reflective or textured materials.
- Execute Factory Acceptance Tests, write validation protocols, and train technicians on system upkeep.
- Monitor deployed systems through statistical dashboards; iterate models with classical CV or ML techniques to improve KPIs.
- Collaborate with manufacturing, quality, and IT teams to embed vision data into MES for traceability.
Qualifications
- Bachelor’s or Master’s in Electrical, Mechanical, or Computer Engineering—or comparable discipline.
- 5+ years designing industrial machine-vision solutions in automotive, electronics, logistics, or pharma environments.
- Proficiency with at least one major toolkit: Cognex VisionPro, Keyence XG/SR, MVTec HALCON, OpenCV.
- Strong C++ and Python coding skills; Git version control; familiarity with TensorFlow/PyTorch for vision-guided learning is a plus.
- Hands-on experience integrating vision-guided robots (Fanuc, ABB, UR, KUKA) and troubleshooting I/O, triggers, and timing.
- Solid grasp of optics, lighting geometry, lens selection, depth of field, and sensor formats.
- Comfortable reading electrical schematics and wiring industrial cameras, strobes, and encoders.
- Clear communicator who explains complex visual-analytics concepts to non-technical stakeholders.
- Authorization to work in the United States.
Why Join Us
- Shape next-generation smart-factory projects that cut waste and energy consumption.
- Work with a nimble team and modern toolchain—rapid decision cycles, minimal red tape.
- Hybrid or fully remote development possible; occasional site visits for commissioning keep you close to the action.
- Competitive compensation, profit-sharing, and a professional-development budget aimed at continuous learning.