Machine Vision Applications Engineer

Overview Corporation
United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$150,000.0 - $200,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Computer Vision Image Quality Object Detection Performance Tuning Software Engineering Visual Systems Image Acquisition Deep Learning Model Validation Deployment Automation

Job 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.

Requirements

  • 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.

About the company

  • Extreme growth and real-world impact: We’re not just building demos. We’re deploying AI systems on real production lines, at scale.
  • Talent density: Work alongside world-class engineers across AI, embedded systems, and enterprise deployment.
  • Front-row seat to AI in manufacturing: Help shape how manufacturers adopt the next generation of inspection technology.
  • Technical ownership: Your expertise will influence real engineering decisions and customer outcomes.
  • Global exposure: Solve challenging applications for some of the world’s most advanced manufacturers.

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