Matroid, Inc. Logo

Matroid, Inc.

Software Engineer, Infrastructure

Job Posted 5 Days Ago Posted 5 Days Ago
Be an Early Applicant
Palo Alto, CA
Mid level
Palo Alto, CA
Mid level
Develop secure, reliable, and scalable infrastructure for a computer vision platform, enhance systems efficiency, and apply modern practices.
The summary above was generated by AI

About Matroid

Matroid's computer vision platform empowers our customers to deploy cutting-edge AI to detect user-specified objects and events of interest in their video and images, on the cloud or on-premise, with the click of a button.

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 in Infrastructure to help develop the systems 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

  • Develop new infrastructure for cloud & onprem that is secure, reliable, and scalable
  • Code up new capabilities for the systems that power our computer vision platform
  • 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, 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: Helm, AWS, Kubernetes, Docker, Kafka, Redis, Prometheus, MongoDB, Nginx
  • Experience with DevOps, 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.

Top Skills

AWS
Docker
Kafka
Kubernetes
Linux
MongoDB
Nginx
Prometheus
Python
Redis
HQ

Matroid, Inc. Palo Alto, California, USA Office

120 Hamilton Ave, Palo Alto, CA, United States, 94301

Similar Jobs

22 Hours Ago
Hybrid
4 Locations
133K-235K Annually
Mid level
133K-235K Annually
Mid level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design and optimize ML infrastructure systems, build feature generation pipelines, develop high-performance inference systems, and manage scalable data for machine learning models.
Top Skills: C++Caffe2FlinkJavaPythonPyTorchRayScalaScikit-LearnSparkSpark MlTensorFlow
22 Hours Ago
Hybrid
4 Locations
178K-313K Annually
Senior level
178K-313K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Software Engineer in ML Infrastructure will optimize AI training systems, build scalable ML infrastructure, and collaborate closely with ML engineers to enhance model deployment.
Top Skills: C++Caffe2FlinkJavaPythonPyTorchRayScalaScikit-LearnSparkTensorFlow
Yesterday
San Mateo, CA, USA
130K-280K Annually
Mid level
130K-280K Annually
Mid level
Cloud • Hardware • Security • Software
As a Senior Software Engineer, you'll architect and develop scalable infrastructure projects, mentor team members, and align with organizational goals.
Top Skills: AWSGoIstioKubernetesPythonTerraform

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account