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Machine Vision Applications Engineer
Overview AI. Lead feasibility studies, proof-of-concept testing, and technical validation for complex industrial inspection applications .
Posted 10/20/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $150,000 - $200,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in industrial machine vision and optical inspection systems, with a strong focus on designing, optimizing, and troubleshooting vision applications in manufacturing environments. Proficient in AI-based vision technologies and capable of mentoring engineers while collaborating effectively across teams.
Highest-signal resume keywords
Industrial Machine VisionOptical Inspection SystemsAI-Based VisionTechnical CommunicationMentoring Engineers
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Image AcquisitionCamera ConfigurationLens SelectionAdvanced Lighting TechniquesDeep Learning-Based InspectionTroubleshooting Inspection PerformanceVision Feasibility StudiesProof-of-Concept ProjectsOptical Trade-OffsPrecision Inspection
Soft Skills
Technical GuidanceProblem SolvingCollaboration
Tools & Technologies
CamerasLensesLightingOptical ComponentsPLCIndustrial Automation
Industry Keywords
ManufacturingProduction EnvironmentsImage QualityField of ViewEnvironmental Variability
About the role
Key responsibilities & impact- 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
- Drive vision experimentation, testing standards, hardware evaluation, and application development in the San Francisco lab
- Troubleshoot 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 ensure successful deployment on production lines
- Assess 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
- Serve as a technical resource for Applications, Sales, Product, and Engineering
- Work directly with cameras, lenses, lighting, customer parts, and production environments
- Travel up to 50%, typically lower
Requirements
What you’ll need- 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 the SF office
- 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