About Overview
We're building AI-powered quality control systems for manufacturing. Unlike generic machine vision, our systems are designed to integrate directly into production lines alongside existing PLCs and equipment. We work with companies like Tesla, SpaceX, and Amphenol—and we're deployed in real production environments right now, not pilots.
Our customers don't need another software tool. They need systems that actually work on their production line, integrate with their controls, and keep running under real manufacturing constraints.
About the Role
You'll be the technical person making our systems work on the factory floor. This is hands-on field work: you'll install hardware, integrate with PLC systems, troubleshoot in real-time, and ensure vision systems are running reliably on production lines.
You'll own the technical execution from start to finish—from configuration through production validation. You'll work directly with customers, their maintenance teams, and their production engineers to get systems live and keep them running.
Key reality: This is 60–80% travel to manufacturing facilities. You'll spend weeks on-site at customer plants, working with equipment that doesn't stop, dealing with downtime pressure, and solving problems under real constraints.
This role is field-heavy, highly technical, and high-ownership. If you want to work in manufacturing, get your hands dirty with hardware and PLCs, and directly impact production operations, this is it.
What You'll Do
Install and Integrate Vision Systems with PLC Platforms
Physically install Overview cameras and lighting on production lines
Configure systems to work with existing PLCs (Allen Bradley, Siemens, GE, Beckhoff)
Map I/O, set up communication protocols, and validate connectivity
Work directly with customer engineers and maintenance teams to coordinate integration around production schedules
Troubleshoot Hardware, Electrical, and Integration Issues On-Site
Diagnose problems in real production environments: connector issues, electrical continuity, signal timing, encoder feedback, I/O mapping
Work with oscilloscopes, multimeters, network analyzers—and with your hands
Collaborate with plant electricians and equipment technicians when needed
Solve problems under the constraint of live production (no long redeploys, no taking systems offline without customer approval)
Ensure Systems Meet Production Requirements
Validate system performance on actual production lines (speed, accuracy, reliability)
Tune systems for real-world constraints: lighting conditions, equipment vibration, material variations
Document configuration and create setup guides for customer teams
Train operators and engineers on system operation and basic troubleshooting
Support Customers Through Deployments
Be the technical point of contact during installation and ramp-up
Provide ongoing support during the first weeks of production operation
Respond to technical issues and help customers troubleshoot independently over time
Feed back real-world constraints and issues to the product team
What You'll Bring
Must Have
2+ years working directly with PLC systems (Allen Bradley, Siemens, GE Automation, or similar)
Experience configuring I/O, programming logic, and troubleshooting connectivity
Comfortable reading PLC documentation and understanding ladder logic or structured text
Hands-on experience integrating systems with production equipment
You've installed, configured, or integrated hardware on production lines
You understand how to work with existing controls without breaking them
Ability to troubleshoot electrical and hardware issues on-site
You're comfortable with a multimeter, oscilloscope, or continuity tester
You understand basic electrical concepts (voltage, current, signal integrity)
You've diagnosed and fixed real-world hardware problems
Experience in live production environments
You've worked on manufacturing floors—assembly, packaging, machining, automotive, food processing, etc.
You understand downtime pressure and the reality of production constraints
Willingness to travel 60–80% to customer manufacturing facilities
You're comfortable being on-site for weeks at a time
You can work with customer shift schedules and production priorities
You want to be where the equipment is, not remote
Strong to Have
Experience with vision systems or cameras in manufacturing (including setup, focus, lighting)
Familiarity with industrial communication protocols (Ethernet, Profibus, Modbus, serial)
Experience training operators and engineers on new systems
Comfort working independently and making technical decisions in the field
Track record of owning technical projects from start to finish
Nice to Have
Background in plant engineering, maintenance, or manufacturing support
Experience with specific platforms: Allen Bradley CompactLogix/ControlLogix, Siemens S7-1200/S7-1500
Exposure to industrial networking or controls system security
Why This Role Is Different
You're not maintaining legacy systems. You'll be deploying proven technology into new environments and solving real integration challenges.
You see immediate impact. Your work directly affects production lines and customer operations—your troubleshooting and integration directly impacts uptime and output.
You work with real manufacturers. You'll support some of the most demanding manufacturing operations in North America.
You own the technical execution. You're not handing off to a support team; you're the person responsible for ensuring systems work end-to-end.
You grow across multiple domains. You'll expand your skills in vision systems, AI applications, and increasingly complex manufacturing integrations—while staying hands-on.
You work in a lean team. No bureaucracy, no tickets sitting in queues. Fast decisions, direct impact, high ownership.
Location & Travel
Primary location: Remote within the U.S. when not traveling to customer sites.
Preferred location: Indiana, Ohio, Kentucky, or Illinois
Travel: 60–80% of time on-site at customer facilities across the US. Expect 1–2 week deployments, with some trips being shorter (3–5 days).
What We Offer
Real impact: Your work keeps production lines running
Technical growth: You'll expand across controls, vision, and AI systems
Autonomy: High ownership, minimal bureaucracy
Competitive compensation + equity (startup scaling trajectory)
Hardware and tools: You'll have what you need to do the job
Supportive team: Experienced team and escalation when you need it
Our Commitment to Your Success
We know field engineering is demanding. We'll provide:
Training on our systems before your first deployment
Clear runbooks and technical documentation
Direct support from our engineering team when you hit complex issues
A team that understands manufacturing realities and respects the work you do
AI Machine Vision Systems for Manufacturing. Deploy powerful automated inspection in days with Gen AI. Our vision systems ensure flawless quality control and find defects others miss. Manufacturers across industries partner with us to achieve measurable results: 75% reduction in inspection costs, 50% reduction in rework, 100% defect coverage, and 20% reduction in scrap. Why manufacturers choose Overview: Our platform delivers state-of-the-art accuracy with industry-leading ease of use and maintainability. Unlike traditional machine vision, our AI-first architecture is designed for real production environments where conditions change, data is imperfect, and downtime isn't an option. We understand manufacturing because we've lived it. Founded by former senior Tesla manufacturing leaders, our team brings deep expertise from scaling quality systems in the world's most demanding environments—experience that shaped everything from our rapid deployment capabilities to our tools that handle messy production data. Global reach, dedicated support: With teams across 10 countries, we provide white-glove support wherever you manufacture, from Silicon Valley to major production hubs across North America, Europe, and Asia-Pacific. At Overview, we're not just shaping the future of AI—we're making it work where it matters most: on your factory floor.
Key team members
Ken Forster
Mike Alfred
Chris Niven
Bud Fraumeni
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