Overview is a company that takes the cutting edge in computer vision and deep learning and applies it to previously unsolvable manufacturing inspection problems. We are truly a full stack company. We install physical cameras into the facility, run inference on the edge and manage massive deployments. Overview also streams gigabytes of video/image data to the cloud for our web platform to give customers advanced insights and analytics.
We are looking for engineers who like to solve tough challenges across the stack. This might include wrangling 500mb images or deploying optimized models in one click that can handle 10 parts a second. We are looking for people who are dynamic, who are excited to work on a different challenge every week, whether it's the final inspection on a medical device or making sure a razor blade has a perfect edge.
Overview.ai is transforming manufacturing quality control with the OV20i, an advanced AI vision system that combines cutting-edge deep learning with ease of use and quick setup. Our system handles a wide array of inspection tasks—from subtle assembly verification to defect detection and orientation checks—delivering real-time, high-accuracy inspections that seamlessly integrate into existing production lines.
Trusted by leading manufacturers like Ford, Honda, Toyota, SpaceX, Milliken, and Flex-N-Gate, the OV20i enables faster throughput, reduced scrap, and lower inspection costs—without the complexity and expense of traditional vision systems.
We’re looking for an exceptional Sales and Applications Engineer to join our growing team and help drive the future of industrial automation! If you have a background in engineering or technical sales, particularly in manufacturing, automation, or quality control systems, we want to hear from you!
👉 Ready to make an impact in a high-growth industry? Apply today and join our team of passionate professionals making a difference in the world of industrial automation!
Overview's tech is far reaching. We deploy highly reliable camera hardware and GPU's into manufacturing and industrial settings. We have an IoT fleet management stack to update, secure, and manage our fleet of devices. We stream this data to our cloud or to a customers hybrid cloud where we have a user facing platform where customers can interact with their devices, deploy new deep learning models, and see advanced analytics.
We use Docker to deploy web infrastructure and deep learning models. We have an extensive deep learning stack using Tensorflow, PyTorch and packaged with Onnx. Our frontend is in React, which is updated in real time from our fleet using MQTT. And the list goes on...
fulltimeDetroit, MI, US / Columbus, OH, US / Atlanta, GA, US / Charlotte, NC, US / Indianapolis, IN, US / Cincinnati, OH, US / Remote (Detroit, MI, US; Columbus, OH, US; Atlanta, GA, US; Charlotte, NC, US; Indianapolis, IN, US; Cincinnati, OH, US)$100K - $160K3+ years
fulltimeSan Francisco, CA, US$150K - $225K6+ years