Senior Automation Engineer, Vision

Job description

Job responsibilities

• Develop Mach's standardized machine vision platform for automated manufacturing equipment.
• Design and build proof-of-concept vision systems using industrial cameras, lenses, lighting, filters, profilometers, depth cameras, and other optical sensors.
• Select and characterize cameras, optics, lighting, sensors, controllers, and acquisition hardware for manufacturing applications.
• Define edge compute requirements based on acquisition rates, processing workloads, latency, and machine cycle-time requirements.
• Select and benchmark CPUs, GPUs, industrial PCs, and other compute hardware for production vision applications.
• Develop image acquisition methods including exposure, triggering, synchronization, lighting control, field of view, depth of field, resolution, and optical configuration.
• Develop 2D and 3D vision applications for inspection, measurement, localization, guidance, identification, and process monitoring.
• Develop applications using laser profilometers, stereo/depth cameras, structured-light systems, and other 3D sensing technologies.

Job requirements

• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Robotics, Computer Engineering, Optical Engineering, Computer Science, or a related discipline.
• 5+ years of experience developing machine vision, optical inspection, metrology, or automated manufacturing systems.
• Hands-on experience selecting and integrating industrial cameras, lenses, lighting, and vision hardware.
• Strong understanding of imaging fundamentals including resolution, field of view, depth of field, exposure, contrast, lighting geometry, and optical distortion.
• Experience developing and deploying 2D or 3D machine vision applications.
• Experience defining edge compute requirements and selecting hardware based on image-processing workloads, latency, throughput, and machine cycle-time requirements.
• Experience with CUDA or other GPU-accelerated, hardware-accelerated, or parallel computing approaches for high-performance image processing.
• Experience profiling and optimizing vision pipelines to meet deterministic production performance requirements.