Vision Architect – Machine Vision & Automation

Company Description Lincode is transforming precision manufacturing through AI-driven visual inspection solutions that help businesses achieve superior product quality and operational excellence. By automating defect detection and providing real-time insights, Lincode enables manufacturers to reduce waste, minimize errors, and increase efficiency across production lines without changing existing cameras or hardware. Its cutting-edge AI technology is built to catch defects early, streamline inspections, and ensure consistent quality for every product. Trusted by industry leaders in automotive, aerospace, electronics, and packaging, Lincode’s systems are proven to deliver results directly on the factory floor. Configurable quality tolerances and flexible setup allow manufacturers to work seamlessly with both automated and non-automated inspections.

Role Summary

We are hiring a Vision Architect to design and own end-to-end automated visual inspection systems for manufacturing environments. The role focuses on machine-vision–based inspection, covering optics, lighting, cameras, automation (PLC/robots), and acceptance metrics.

This position serves as the technical authority from feasibility studies through production deployment and scale-out.

Key Responsibilities

Inspection System Architecture

• Design complete visual inspection solutions including optics, lighting, cameras, compute, and automation
• Define station layouts, camera counts, inspection coverage, and multi-station tunnel concepts
• Translate defect requirements into robust, repeatable inspection architectures

Optics, Lighting & Imaging

• Specify lenses (telecentric and perspective), sensors, resolution, FOV, working distance, and DOF
• Design lighting strategies (brightfield, darkfield, diffuse, backlight, structured, deflectometry)
• Perform defect visibility analysis (contrast, SNR, surface reflectivity)
• Ensure imaging consistency across environmental and process variations

Classical Machine Vision & Inspection Logic

• Design inspection algorithms using classical machine-vision techniques, including:
• Thresholding, filtering, morphology
• Blob, edge, contour, and pattern analysis
• Geometric measurement, surface inspection, presence/absence checks
• Select appropriate tools and algorithms based on defect physics and tolerances
• Tune parameters and thresholds for repeatability and low false rejects

Automation, PLC & Factory Integration

• Integrate vision systems with PLCs, robots, conveyors, and encoders
• Define triggers, I/O mapping, handshakes, reject logic, and fault conditions
• Work with PLC platforms such as Siemens S7, Allen-Bradley, Beckhoff, or equivalent
• Support industrial communication protocols (Profinet, EtherNet/IP, Modbus, OPC-UA)
• Ensure inspection cycle-time compliance with production line requirements

Acceptance Metrics & Quality Ownership

• Define clear acceptance criteria: detection thresholds, tolerances, false accept/reject limits
• Establish KPIs for inspection performance, repeatability, and stability
• Lead FAT, SAT, commissioning, and customer sign-off activities

Deployment & Scale

• Support on-site system commissioning and performance optimization
• Diagnose and resolve optical, algorithmic, or automation issues in production
• Standardize and replicate validated inspection architectures across lines and factories

Required Qualifications

• Bachelor’s or Master’s degree in Optical Engineering, Electrical Engineering, Mechanical Engineering, or related field
• 6+ years experience in industrial machine vision or automated visual inspection
• Strong, hands-on expertise in classical machine vision technologies
• Proven experience integrating vision systems with PLC-based automation
• Experience working in real manufacturing environments with cycle-time and reliability constraints

Technical Skills

• Industrial cameras, lenses, lighting systems
• Classical machine-vision libraries and tools
• Optical and illumination design principles
• PLC interfacing, triggers, I/O, and fault handling
• Industrial automation protocols and standards
• Inspection validation and performance measurement

Nice to Have

• Multi-camera synchronization and calibration
• Robotics-based inspection cells
• Experience with automotive, electronics, or aerospace inspection