> Markdown version of [/jobs/ext/4261676-machine-vision-applications-engineer-san-francisco](https://www.wearedevelopers.com/jobs/ext/4261676-machine-vision-applications-engineer-san-francisco). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Vision Applications Engineer, San Francisco - **Company:** Overview Corporation - **Location:** United States - **Contract:** Permanent contract - **Skills:** Computer Vision, Image Quality, Software Tools, Coax, Hardware Asset Management - **Published:** October 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=bcdba32d678f31b6 ## About the Role * 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. Strong Preferences * Experience imaging difficult parts: reflective, specular, transparent, dark, or low-contrast surfaces. * Experience with advanced lighting techniques: dome, dark field, backlight, coaxial, polarized, or structured lighting. * Experience with telecentric optics and precision measurement. * Customer-facing technical work: demos, application support, or on-site troubleshooting. * Experience troubleshooting inspection performance in production: false rejects, missed defects, image quality variation. * Familiarity with traditional machine vision software tools (Cognex, Keyence, Matrox, Halcon, Dalsa). ## Description * Volume and variety: A growing stream of customer samples across automotive, aerospace, and consumer manufacturing means you see more imaging problems in a year here than most engineers see in five. * Your findings travel: What you learn in the lab shapes hardware decisions, deployment approaches, and what we tell customers is possible. * Room to grow into it: This is a mid-level role with a clear path to becoming the technical voice on imaging as the lab and the team scale. WHAT YOU'LL OWN * 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.