Software Engineer, Matroid

Infrastructure

Salary not provided
MongoDB
AWS
Docker
Kubernetes
Python
Kafka
Redis
Linux
Prometheus
Junior and Mid level
San Francisco Bay Area

Office located in Palo Alto, CA

Matroid

Non-technical computer vision platform

Open for applications

Matroid

Non-technical computer vision platform

21-100 employees

B2BArtificial IntelligenceVisualisationComputer VisionSaaS

Open for applications

Salary not provided
MongoDB
AWS
Docker
Kubernetes
Python
Kafka
Redis
Linux
Prometheus
Junior and Mid level
San Francisco Bay Area

Office located in Palo Alto, CA

21-100 employees

B2BArtificial IntelligenceVisualisationComputer VisionSaaS

Company mission

To make computer vision simple and accessible to everyone.

Role

Who you are

  • Enthusiasm for working on infrastructure and backend systems
  • Strong Python coding skills
  • Expertise with Linux, and some of: Kubernetes, AWS, Docker, Helm
  • Bachelors in CS or equivalent
  • 2+ years experience developing software
  • Adept at communicating to both technical and commercial audiences
  • Willingness and eligibility for security clearance up to TS/SCI

Desirable

  • Work experience as a software engineer in backend infrastructure
  • Personal projects that demonstrate an interest/expertise in systems and/or infrastructure
  • Experience with: Kafka, Redis, gRPC, Prometheus, MongoDB, Nginx
  • Experience with DevOps, SRE and/or InfoSec
  • Familiarity with machine learning technologies, concepts and operation

What the job involves

  • 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
  • Developing new infrastructure on AWS and Kubernetes that is secure, reliable, and scalable
  • Coding up new capabilities for the systems that power our computer vision platform
  • Increasing efficiency across engineering with better libraries, tooling and automation
  • Applying modern best practices such as infrastructure-as-code and observability
  • You’ll be working with modern technologies like Python, Kubernetes, Helm, and Prometheus
  • You’ll be part of a world-class, multidisciplinary engineering team, where each member identifies and prioritizes valuable and interesting new features to work on
  • You will operate in a collaborative but highly autonomous environment that isn’t bogged down by unnecessary meetings or project management
  • You will know that almost everything you build affects real-world users, and you will set the quality standards for your work appropriately
  • You will work collaboratively alongside software and computer vision experts to deploy new infrastructure solutions empowering Matroid features and capabilities
  • You will learn a lot along the way, diving into new technologies and the world of computer vision both on your own and during frequent company tech talks

Our take

Maitroids' platform renders the need for a data scientist obsolete​​. It enables enterprises to deploy computer vision solutions by automating the process of analysing imagery data, leaving companies to free up employees who were previously completing tedious manual tasks.

Matroid has developed a partnerships program attracting heavyweights Oracle, HP, and Dell, distancing themselves from behemoths Facebook and Alphabet, who have their own machine vision software divisions. The accessibility of its platform is what makes it so appealing to clients.

Led by Stanford professor and machine learning expert Reza Zadeh, the company launched its first computer vision product in 2017. Fast forward to Oct 2020 and Maitroid garnered $20m in Series B funding led by Energize Ventures. This finance has been used to accelerate product development and go-to-market expansion in manufacturing as well as the video security market.

Steph headshot

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Some candidates hear
back within 2 weeks

11% employee growth in 12 months

Company

Funding (last 2 of 3 rounds)

Oct 2020

$20m

SERIES B

Sep 2017

$10m

SERIES A

Total funding: $33.5m

Company benefits

  • Free lunch, snacks, drinks, and caffeine every day
  • Gym membership with yoga and pilates classes next door
  • Budget for whatever hardware you want
  • Competitive salary and equity
  • Flexible hours
  • Dental and vision insurance with 100% paid premiums
  • Work from home opportunities
  • Health insurance

Company values

  • Accelerate AI, responsibly, through vision. AI is an ambitious, unsolved problem, so we're building a world-class team with innovation and engineering excellence embedded into our culture.

Company HQ

University South, Palo Alto, CA

Leadership

Earned a Ph.D in Computational Mathematics from Stanford University. Previously Senior Data Scientist at Twitter for 2 years and Technical Advisor at Databricks for 3 years.

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