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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Hardware Applications Engineer, Optical - Hybrid in Boston, MA - **Company:** Everforth CyberCoders - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $140,000.0 - $170,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Encodings, Image Quality, Imaging Technology, Networking Hardware, OpenCV, Graphics Processing Unit (GPU), Multiaccess Edge Computing - **Published:** September 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=749116d34b3b5f22 ## About the Role * 5+ years of experience in optics, machine vision, imaging engineering, or industrial systems integration * Strong knowledge of geometric optics, lenses, imaging sensors, lighting, optical filters, and image formation * Hands-on experience deploying and calibrating industrial cameras such as FLIR, Basler, Allied Vision, or Teledyne * Experience with camera calibration, distortion correction, pixel-to-measurement calibration, and multi-camera alignment * Ability to translate inspection requirements into camera, lens, lighting, resolution, and exposure specifications * Familiarity with GigE Vision, USB3 Vision, GenICam, or similar standards * Experience diagnosing imaging and hardware issues in manufacturing environments * Strong written and verbal communication skills * Willingness to travel to customer manufacturing facilities as needed Nice to Have * Automated defect detection or quality-inspection experience * Photometric stereo, structured lighting, telecentric lenses, polarized imaging, multispectral imaging, or 3D vision * Camera integrations involving PLCs, encoders, sensors, triggers, robotics, or industrial networks * OpenCV or similar image-processing and calibration tools * NVIDIA GPUs and edge computing systems * Experience supporting high-speed production lines ## Description We're partnering with a venture-backed computer vision company transforming quality control in manufacturing through scalable, AI-powered inspection systems. Its technology is deployed in high-speed production environments, helping manufacturers improve inspection accuracy, reduce defects, and automate manual processes. They're looking for a Hardware Applications Engineer specializing in optics and machine vision to design, configure, calibrate, and validate imaging systems for manufacturing applications. This individual will determine the right cameras, lenses, lighting, filters, and image-acquisition components for each customer environment. What You'll Do * Design machine vision imaging systems based on inspection requirements and production conditions * Select and configure industrial cameras, lenses, lighting, optical filters, triggers, and image-acquisition hardware * Perform intrinsic and extrinsic camera calibration, distortion correction, alignment, color calibration, and multi-camera calibration * Calculate field of view, working distance, spatial resolution, depth of field, focal length, and exposure requirements * Evaluate line speed, motion, vibration, ambient light, reflective surfaces, and mounting constraints * Develop imaging approaches for reflective, transparent, dark, textured, and rapidly moving materials * Conduct optical feasibility studies and imaging tests * Configure triggering, synchronization, encoders, networking equipment, GPUs, and edge computing systems * Troubleshoot image quality, calibration, alignment, synchronization, and hardware-performance issues * Create calibration procedures, bills of materials, configuration documents, and installation guides * Participate in customer site assessments, installations, commissioning, and production validation ## Related Videos - [Garbage In, Garbage Out: Engineering Reliable AI Document Extraction Pipelines](https://www.wearedevelopers.com/videos/100301-garbage-in-garbage-out-engineering-reliable-ai-document-extraction-pipelines) - [A Brief History of Data Storage](https://www.wearedevelopers.com/videos/974-a-brief-history-of-data-storage) - [Deepfakes in Realtime - How Neural Networks Are Changing Our World](https://www.wearedevelopers.com/videos/180-deepfakes-in-realtime-how-neural-networks-are-changing-our-world) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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