Applications Engineer

Applications Engineer

Overview.ai

About Overview

We are building the future of manufacturing quality with AI. We deploy AI-powered vision systems directly on production lines, helping manufacturers detect defects that were previously impossible to catch with traditional machine vision.

Our systems run at the edge, are fast to deploy, and are already used in real production environments by companies like Tesla, SpaceX, and Amphenol. We’ve grown ~700% in the past year and are scaling quickly as demand continues to accelerate. This is not a “pilot-phase” product, we are live, in production, and becoming critical to factory operations.

About the Role

This is a hands-on, field-first Applications Engineer role. You’ll be the person making our systems actually work on the factory floor: installing, integrating, troubleshooting, and pushing deployments to production. You won’t just “support” the product, you’ll own the technical execution on-site, working directly with customers to bring AI vision systems into real manufacturing environments.

Expect to:

• Be on-site, close to the customer and the line Work across PLCs, cameras, and production systems

• Solve real-world problems under real constraints

• Play a key role in turning deployments into scaled production

This role is high ownership, highly technical, and highly impactful.

What You’ll Do

Deploy Systems on the Factory Floor

• Install and configure Overview’s vision systems in production environments

• Bring systems from setup → validation → production readiness

• Work hands-on with hardware, lighting, and line integration

Integrate with PLCs & Manufacturing Systems

• Connect vision systems with PLC platforms (Allen Bradley, Siemens, etc.)

• Ensure reliable communication between inspection systems and line controls

• Troubleshoot integration issues in real-time

Own Technical Problem Solving

• Diagnose and resolve issues during and after deployment

• Work through ambiguity - no perfect environments, no perfect data

• Partner with internal teams to escalate and fix complex challenges

Support Customers Directly

• Be the technical point of contact during deployments

• Guide customers through setup, operation, and best practices

• Train operators and engineers on how to use the system effectively

Drive Systems to Production

• Ensure systems are not just installed, but actually delivering value

• Validate performance, accuracy, and reliability on the line

• Push deployments from “it works” → “it scales”

What We’re Looking For

• Experience working with PLCs (Allen Bradley, Siemens, or similar)

• Background in automation, controls, manufacturing, or field engineering

• Comfortable being hands-on (hardware + software + systems)

• Strong troubleshooting mindset — you enjoy figuring things out on-site

• Customer-facing experience or willingness to work directly with customers

• Ability to operate in fast-paced, startup environments

• Willingness to travel 60–80% (this is a field-heavy role)

What Makes This Role Different

• You’re not maintaining legacy systems: you’re deploying cutting-edge AI

• You’ll see immediate impact: your work directly affects production lines

• You’ll work with some of the most advanced manufacturing companies in the world

• You’ll operate with high ownership - not waiting for instructions

• You’ll grow fast across automation, vision, and real-world AI systems

Location

Flexible, but must be willing to travel frequently to customer sites (primarily within the US).