Software Engineer, Systems & Infrastructure

• Extreme enthusiasm for working on infrastructure and backend systems - you care deeply about how software systems work, and want to be around other people who feel the same

• Strong Python coding skills

• Expertise with Linux and systems programming

• Bachelors in CS or equivalent

• 4+ years experience developing software

Bonus points if...

• Significant work experience as a software engineer in backend infrastructure

• Personal projects that demonstrate an interest/expertise in systems, infrastructure, networking, etc.

• Experience with: Kubernetes, AWS, Docker, Helm, Kafka, Redis, Prometheus, MongoDB, Nginx

• Experience with DevOps, MLOps, SRE and/or InfoSec

• Familiarity with machine learning technologies, concepts and operation

• Competitive pay and equity

• The chance to constantly work on stimulating intellectual challenges

• Gym membership reimbursement

• Free lunch, healthy drinks, and snacks every day

• Medical, dental, and vision insurance with 100% paid premiums

• A flexible schedule that leaves time for all of your other interests

• A budget for whatever hardware or software will make you most effective

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. What you'll do + 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 How you'll be doing it + 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