Machine Vision Applications Engineer Lab Leader, Impact

Overview; San Francisco (CA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Overview, based in the San Francisco Bay Area, is building AI vision systems for manufacturing. This role centers on imaging feasibility, lighting and optics selection, and running trials in our SF lab to validate inspections on real production samples.

You’ll document findings and drive engineering decisions for scalable deployments. You will work hands-on with cameras, lenses, and lighting, collaborating with Sales and Applications and reporting to Engineering.

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/demo environment.
• Working knowledge of optical trade-offs: lens selection, field of view, working distance, depth of field, and resolution.
• Able to document findings clearly and explain technical trade-offs to customers and internal teams.

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 configuration

Lens selection

Camera configuration

Imaging trials

Documentation

Feasibility testing

Problem solving

Customer communication

Lab ownership

Hardware evaluation

Tools

Cognex

Keyence

Matrox

Halcon

Dalsa

Job description

Overview, based in the San Francisco Bay Area, is building AI vision systems for manufacturing. This role centers on imaging feasibility, lighting and optics selection, and running trials in our SF lab to validate inspections on real production samples.

You’ll document findings and drive engineering decisions for scalable deployments. You will work hands-on with cameras, lenses, and lighting, collaborating with Sales and Applications and reporting to Engineering.