Lab-Based Machine Vision Applications Engineer

Overview Corporation

California

On-site

USD 90,000 - 130,000

Full time

3 days ago
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Job summary

Overview.ai is seeking a Machine Vision Applications Engineer in San Francisco to own imaging feasibility for customer samples, optimize lighting, lenses, cameras, and geometry, and run trials in our SF lab. This hands-on role focuses on turning challenging inspection problems into reliable imaging solutions.

You will document results, build POCs for sales and engineering, and work from our SF office in a full-time capacity.

Qualifications

  • Hands-on experience selecting and configuring lighting, lenses, and cameras to image parts for inspection or measurement.
  • Experience running imaging trials, feasibility studies, or proof-of-concept testing on customer or production samples in a lab or demo environment.
  • Working knowledge of optical trade-offs: lens selection, field of view, working distance, depth of field, and resolution.
  • Comfortable working directly with hardware, running your own experiments, and solving problems independently.
  • Able to document findings clearly and explain technical trade-offs to customers and internal teams.
  • Based in the San Francisco Bay Area or willing to relocate, and able to work primarily from our SF office.

Responsibilities

  • Imaging feasibility: Run trials on incoming customer samples to determine whether and how an inspection can be imaged reliably.
  • Lighting and optics selection: Choose and configure lighting, lenses, cameras, filters, and geometry for each application, including the parts that fight back.
  • Lab ownership: Set up and run the SF lab: test standards, hardware inventory, sample handling, and how results get recorded.
  • Proof-of-concept testing: Build and document POCs that give Sales and Applications a defensible answer on what the system can and cannot do.
  • Image quality troubleshooting: Diagnose and resolve image quality problems that drive false rejects, missed defects, and inconsistent results.
  • Hardware evaluation: Test new cameras, lenses, and lighting and recommend what belongs in our stack.
  • Findings and documentation: Write up what worked, what did not, and why, so the next engineer facing the same part does not start over.

Skills

Lighting setup
Lens selection
Camera configuration
Imaging trials
Feasibility studies
Documentation
Hardware experimentation

Tools

Cognex
Keyence
Matrox
Halcon
Dalsa

Job description

Overview.ai is seeking a Machine Vision Applications Engineer in San Francisco to own imaging feasibility for customer samples, optimize lighting, lenses, cameras, and geometry, and run trials in our SF lab. This hands-on role focuses on turning challenging inspection problems into reliable imaging solutions.

You will document results, build POCs for sales and engineering, and work from our SF office in a full-time capacity.

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