Full Stack Engineer

About Overview

Computer Vision Platform for Manufacturing

Tech description:

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...

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




**Responsibilities**
- 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)

Skills: