Machine Vision Applications Engineer

Overview Corporation

3d • $150,000 - $200,000 • Onsite

About The Position

Overview.ai is seeking an experienced Machine Vision Applications Engineer to own complex machine-vision applications from initial feasibility through production deployment. The role serves as a technical expert in optics, lighting, image acquisition, and inspection performance, working hands-on in the San Francisco lab and with customers on manufacturing challenges.

The engineer will build vision systems, evaluate hardware, lead proof-of-concept testing, troubleshoot difficult inspection problems, and make technical recommendations that inform customer deployments and product development. The role bridges traditional machine-vision fundamentals and AI-powered inspection, with work involving cameras, lenses, lighting, customer parts, and production environments.

Requirements

• At least 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.
• Demonstrated 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.
• 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.
• Comfort working directly with hardware, running experiments, and solving problems independently.
• Based in the San Francisco Bay Area and able to work primarily from the San Francisco office.

Nice To Haves

• 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.

Responsibilities

• Lead feasibility studies, proof-of-concept testing, and technical validation for complex industrial inspection applications.
• Select, configure, and optimize cameras, lenses, lighting, filters, and optical components for challenging inspection requirements.
• Own technical activities in the San Francisco lab, including vision experimentation, testing standards, hardware evaluation, and application development.
• Troubleshoot and optimize image quality, environmental variability, false rejects, missed defects, and inspection consistency.
• Work with image collection, labeling, model training, and evaluation to optimize AI-based inspection performance.
• Partner with customers and field teams to troubleshoot vision challenges and support successful production-line deployment.
• Evaluate emerging vision technologies and recommend improvements to hardware and inspection capabilities.
• Mentor less experienced engineers, establish best practices, and provide technical guidance across teams.
• Collaborate with Product and Engineering to translate application challenges into product improvements.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed