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# Machine Vision Applications Engineer

- **Company:** Overview Corporation
- **Location:** United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Image Quality, Object Detection, Performance Tuning, Software Engineering, Visual Systems, Image Acquisition, Deep Learning, Model Validation, Deployment Automation
- **Published:** October 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=12be604aa2f1f4ef

## About the Role

* 5+ years of hands-on experience in industrial machine vision, vision applications engineering, or optical inspection systems.
 * Deep understanding of machine vision fundamentals, including optics, lenses, lighting, sensors, image acquisition, and camera configuration.
 * Proven experience designing, building, and optimizing industrial vision systems for real manufacturing applications.
 * Strong understanding of lens selection, field of view, working distance, depth of field, resolution, and optical trade-offs.
 * Experience with advanced lighting techniques and solving challenging image acquisition problems.
 * Demonstrated ability to independently lead vision feasibility studies and proof-of-concept projects.
 * Experience troubleshooting inspection performance in production environments.
 * Familiarity with traditional machine vision tools and inspection techniques.
 * Working knowledge of AI-based vision, including classification, object detection, segmentation, and model evaluation.
 * Strong technical communication skills, including documenting findings and explaining technical trade-offs to customers and internal teams.
 * Comfortable working directly with hardware, running experiments, and solving problems independently.
 * Based in the San Francisco Bay Area and able to work primarily from our SF office.

Strong Preferences

 * Experience with deep learning-based industrial inspection.
 * Familiarity with telecentric optics, advanced lighting configurations, and precision inspection.
 * Experience with high-speed production lines, challenging defect detection, or variable manufacturing environments.
 * Exposure to PLCs, industrial automation, triggering, and production-line integration.
 * Experience working directly with manufacturing customers.
 * Experience mentoring engineers or serving as a technical subject matter expert.

## Description

* Be the vision expert: Serve as a technical resource for Applications, Sales, Product, and Engineering.
 * Shape our technology: Your evaluations and findings will directly influence hardware decisions, application development, and deployment strategies.
 * Bridge traditional and AI vision: Apply deep machine vision fundamentals to inspection problems that conventional systems struggle to solve.
 * Stay hands-on: Work directly with cameras, lenses, lighting, real customer parts, and production environments., * Optics and lighting design: Select, configure, and optimize cameras, lenses, lighting, filters, and optical components for challenging inspection requirements.
 * Technical ownership of the SF lab: Drive vision experimentation, testing standards, hardware evaluation, and application development.
 * Inspection performance optimization: Troubleshoot image quality, environmental variability, false rejects, missed defects, and inspection consistency.
 * AI vision workflows: Work with image collection, labeling, model training, and evaluation to optimize AI-based inspection performance.
 * Customer application support: Partner with customers and field teams to troubleshoot vision challenges and ensure successful deployment on production lines.
 * Technology evaluation: Assess emerging vision technologies and recommend improvements to our hardware and inspection capabilities.
 * Technical leadership: Mentor less experienced engineers, establish best practices, and provide technical guidance across teams.
 * Cross-functional collaboration: Work closely with Product and Engineering to translate application challenges into product improvements.