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Full Stack Engineer


Onsite/Remote / San Francisco, CA, US
  • Job Type: Full-Time
  • Function: Engineering Software
  • Industry: Supply Chain and Logistics
  • Post Date: 11/27/2023
  • Website:
  • Company Address: 736 Clementina St, San Francisco, CA, 94103
  • Salary Range: $50,000 - $150,000

About Overview

Overview provides deep learning vision systems and a quality workflow platform. We help manufacturers save time and money with automated inspection and streamlined quality control.

Job Description

We are a YCombinator backed startup based in San Francisco, California. We are a small hybrid-remote team of awesome engineers working on an end-to-end platform: camera and sensor installations in factories to AI R&D. We provide clients a simple, reliable and powerful platform allowing to monitor their factories, making everyone's job easier, thanks to advanced deep learning and computer vision.

At Overview, we use the data generated by our platform, to create state of the art deep learning models and to provide insights that were previously unknown. We give customers realtime views into their factory health, quality trends, shift performance, etc. We also integrate with their automation systems to execute real improvements on the factory floor. This includes telling systems to actuate compressed air to blow bad parts off the line or notifying a quality manager of catastrophic failure. We are looking for someone who can help build easy to use features to constantly delight our customers: this includes analytics and productizing deep learning so it can be self-service. You will have ownership over critical parts of our stack such as:

  • Web Platform - in use every day on the factory floor to monitor inspections and track manufacturing analytics

  • Data Ingestion - manage collection of mission-critical video, images, and model data in real time


  • Build high-performing customer facing product features
  • Ensuring features are reliable and tested in extreme scenarios
  • Single Images up to a gigabyte in size
  • Hundreds of datapoints coming in per second
  • Working with different firmwares and drivers to support our vision and lighting software
  • Integrating with PLC's and factory automation systems

Helpful Experience

  • Having worked with image and video data
  • Having worked in a similar web stack to ours (React.js, Django, GCP and AWS, GraphQL)
  • Having built extremely reliable code
  • Experience with different drivers of varying levels of documentation/support
  • Having deeply integrated in 3rd party systems, using webhooks, external APIs
  • Have worked with hardware-level code (video processing, network configurations, virtualization)

Why you should join Overview

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.

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