Applications Engineer, San Francisco at Overview
- Company: Overview
- Location: San Francisco
- Job type: full time
- Workplace: remote
- Posted: 2026-09-23
Job description
ABOUT OVERVIEW.AI Overview.ai is bringing the cutting edge of AI computer vision to manufacturing, solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world. We're growing extremely fast. Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible, not just pilots. THE OPPORTUNITY We're looking for a hands-on Applications Engineer to help develop, validate, and deploy AI-powered vision inspection systems, with a strong focus on imaging feasibility and technical ownership of our San Francisco lab. Customer samples arrive here before anything gets deployed. You'll determine how to make defects visible, selecting the right lighting, lenses, cameras, and imaging configurations to build reliable inspection solutions. But the work doesn't stop in the lab. You'll also help bring these solutions to life on production lines, integrating our cameras with existing PLCs and industrial equipment, troubleshooting hardware and controls issues, and ensuring systems perform reliably under real manufacturing conditions. This role combines machine vision application development, industrial automation, and hands-on customer deployment. You'll work directly with hardware, collaborate with customers and field engineers, and take ownership of technical challenges from initial feasibility through production validation. WHY THIS ROLE IS EXCITING • Own the SF lab: Take responsibility for imaging trials, testing standards, hardware evaluation, and technical feasibility. • Solve challenging inspection problems: Work on applications where traditional machine vision has struggled, from difficult surfaces to complex manufacturing environments. • From lab to production: See your solutions move beyond proof-of-concept testing and into real production lines, integrating with industrial controls and equipment. • Variety and technical depth: Work across automotive, aerospace, and consumer manufacturing, combining optics, automation, AI vision, and industrial troubleshooting. • Direct product impact: Your findings will influence hardware decisions, deployment approaches, and future product improvements. WHAT YOU'LL OWN • Imaging feasibility and application development: Run trials on customer samples, evaluate inspection requirements, and determine how to reliably capture defects using the right imaging configuration. • Lighting and optics selection: Select and configure cameras, lenses, lighting, filters, and geometry, including challenging reflective, transparent, dark, or low-contrast surfaces. • SF lab operations: Own lab testing standards, hardware inventory, sample handling, equipment evaluation, and documentation of technical findings. • Proof-of-concept development: Build and validate inspection POCs, evaluate performance, and communicate technical feasibility, limitations, and recommendations to Sales, Applications, and customers. • PLC and industrial integration: Configure and integrate vision systems with existing PLCs and production equipment, including I/O mapping, communication protocols, signal validation, and basic PLC logic troubleshooting. • Hardware installation and troubleshooting: Support camera and lighting installation, diagnose electrical, connectivity, and hardware issues, and troubleshoot system integration challenges. • Production performance optimization: Investigate false rejects, missed defects, image quality variation, and environmental factors affecting inspection reliability. • Customer deployments and technical support: Work directly with customer engineers, maintenance teams, and field Applications Engineers to install, validate, and troubleshoot systems in manufacturing environments. • Hardware and technol
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