About Matroid
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
What you bring to the table
- 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
What we offer in return
- 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
- Regular tech talks to discuss the latest advances in CV, DL and software engineering
Matroid is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.
Skills Required
- Strong Python coding skills
- Expertise with Linux and systems programming
- Bachelor's degree in Computer Science or equivalent
- 4+ years experience developing software
- Extreme enthusiasm for infrastructure and backend systems
- Work onsite at Palo Alto office
What We Do
Matroid makes computer vision simple by providing an easy-to-use, intuitive Studio for creating and deploying Detectors (computer vision models) to search video for actions, objects, and events with no additional programming required. Matroid can monitor any live stream or search recorded video, providing real-time notifications when events of interest have been detected. Matroid reduces operating costs associated with manually searching through video footage for an object or a specific person, and increases efficiency, safety, and regulatory compliance. Join us for an exciting career at the forefront of artificial intelligence.
