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Overview AI

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 fit
Core 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

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Applicant 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