Software Engineer, Systems & Infrastructure

Matroid is a full-service computer vision company that has developed an end-to-end platform allowing enterprise customers to rapidly train and deploy automated visual inspection on imagery including EO, IR, X-Ray, CT, OCT, and others.

Founded in 2016 by a Stanford professor, Matroid has a broad and rapidly growing set of customers in manufacturing, industrial IoT, government and security.

We’re looking for a talented Software Engineer to help develop the systems & infrastructure that powers Matroid’s computer vision platform. Working alongside software and computer vision experts, you’ll collaborate to solve problems, enable features and increase efficiency by building new shared services, systems, and tooling.

You’ll be working onsite at our new downtown Palo Alto office, located near the Stanford campus and Caltrain.

Architect & code up new system capabilities to enable the features of our computer vision platform

Develop secure, reliable, scalable infrastructure projects; ranging from the hardware running our platform to the software abstractions powering it

Increase efficiency across engineering with better libraries, tooling and automation

Apply modern best practices such as infrastructure-as-code and observability

Operating in a collaborative but highly autonomous environment where you are empowered to make an impact

Developing in a codebase with modern technologies, where quality matters

Knowing that everything you build affects real-world users, with corresponding quality standards for your work

Collaborating with other engineers on your team, as well as our other expert teams, including product, deep learning and field engineering