Deploy deep learning vision inspection in days. Train models in hours with 10x fewer images. Edge-computing cameras achieve 99.9%+ accuracy on micron-level defects. No cloud dependency, no vendor lock-in. Backed by Y Combinator and GV.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 3+ years of hands-on experience in applications engineering, machine vision, industrial automation, systems integration, or a related technical field
- Machine vision experience: Hands-on experience configuring industrial cameras, lighting, and lenses for inspection or measurement applications, including imaging trials, feasibility studies, or proof-of-concept testing
- PLC and controls knowledge: Practical experience working with PLC systems such as Allen Bradley, Siemens, Beckhoff, or similar, including I/O configuration, basic programming logic, and troubleshooting
- Industrial system integration: Experience integrating cameras, sensors, or other hardware with industrial equipment and production systems
- Hardware and electrical troubleshooting: Comfortable diagnosing connectivity, electrical signals, and hardware issues using tools such as multimeters and other diagnostic equipment
- Manufacturing environment experience: Familiarity with production lines, industrial equipment, and the technical constraints of working around live manufacturing operations
More about this role
Applications Engineer
San Francisco, CA · Applications · Full-time, hybrid
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.
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,...
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