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Salary: USD 80,000 - 110,000 / annual
Overview.ai is deploying AI-powered computer vision systems on manufacturing production lines worldwide. The company builds a full-stack solution: GPU-powered edge cameras, on-device inference, and a platform managing large fleets of deployed devices.
As an Applications Engineer, you will bridge lab research and real-world customer deployments. You'll split time between hands-on experimentation in the lab and live troubleshooting on factory floors. Work moves from bench to production in weeks, not quarters.
Key responsibilities:
- Conduct hands-on lab testing and experimentation with cameras, lenses, lighting, and machine vision components
- Build and evaluate vision configurations for customer applications and internal projects
- Run application tests and produce clear, actionable technical reports
- Assess new components and technologies for system improvements
- Provide field support: testing, troubleshooting, and deployment for local customers
- Execute AI vision workflows: image collection, labeling, model training, and evaluation
- Build internal test setups, resources, and documentation for the broader Applications team
- Work on optical and hardware projects including camera calibration and new optical configurations
You will work directly with demanding manufacturers, sitting at the intersection of Sales, Product, and Engineering teams. The role offers genuine expertise development in machine vision (optics, lighting, sensors, AI inspection) on real parts and real production lines.
Travel: up to 50%, typically lower.
REQUIREMENTS:
- 1 to 3+ years in machine vision, computer vision, applications engineering, robotics, automation, manufacturing, or related field
- Strong hands-on grasp of machine vision fundamentals: cameras, lenses, optics, lighting, image acquisition
- Familiarity with lens types and when to use them, including telecentric lenses
- Working understanding of AI-based vision and how it differs from traditional rules-based vision
- Familiarity with image labeling, model training, classification, object detection, and segmentation
- Strong troubleshooting instincts and logical, experimental approach to technical problems
- Comfortable working hands-on with hardware and testing independently
- Ability to document and communicate technical findings clearly
- Eager to learn new technologies quickly, including industrial automation and PLCs
- Based in San Francisco, working primarily from office with occasional customer site travel
STRONG PREFERENCES:
- Experience with industrial machine vision systems in production
- Experience selecting or evaluating cameras, lenses, lighting, or optical components
- Hands-on experience with AI or deep learning inspection systems
- Experience building proof-of-concept systems or running feasibility studies
- Exposure to PLCs, industrial controls, or manufacturing automation
- Experience working directly with manufacturing customers
