Principal Software Engineer

Posted One Month Ago
Be an Early Applicant
Palo Alto, CA, USA
In-Office
Expert/Leader
Artificial Intelligence • Computer Vision • Other • Software
The Role
Lead design and implementation of Matroid's production computer vision platform. Drive architecture and technical direction, prototype and ship solutions, mentor engineers, and resolve cross-system issues spanning models, software, infrastructure, hardware, and data.
Summary Generated by Built In
About the role

We’re looking for a Principal Software Engineer to help build the next generation of Matroid’s computer vision platform, shaping its architecture and technical direction.

You’ll lead complex initiatives from definition through production, solve problems spanning computer vision, deep learning and infrastructure, and make the engineers around you more effective. You bring deep expertise in at least one of these areas and can demonstrate clear success and impact in your prior experience.

This is a hands-on role with broad technical and organizational influence.

What you’ll do
  • Lead major initiatives spanning software, infrastructure, deep learning, and computer vision - from ideation and research through development, deployment, and iteration
  • Keep up with latest capabilities in a fast-moving field and how best to incorporate them in our user-facing platform to solve real-world problems
  • Turn ambiguous goals into pragmatic designs, milestones, and clear ownership
  • Make consequential architectural decisions balancing velocity, reliability, maintainability, performance, and cost
  • Raise the effectiveness of other engineers through technical direction, delegation, review, and mentorship
  • Personally prototype, code, and debug high-leverage problems without becoming the team’s bottleneck
  • Identify and remove recurring barriers to engineering execution
How you’ll be doing it
  • Owning real-world production outcomes with high autonomy
  • Leading through technical judgment, clear communication, and example
  • Diagnosing problems across models, software, infrastructure, hardware, and data
  • Knowing when to build a platform versus a focused solution; balancing short- and long-term velocity and risk
What you bring to the table 
  • Deep expertise in either computer vision and deep learning or production systems and infrastructure
  • Passion for learning new things; happy working across different parts of the stack and wearing different hats
  • Demonstrated success building substantial technical systems alongside multiple engineers
  • A track record of making sound architectural decisions and evolving complex systems pragmatically
  • Significant recent experience designing systems, writing production code, and debugging difficult cross-system failures
  • Strong communication skills, particularly when framing technical decisions and tradeoffs
Bonus points if...
  • You have led engineers across both machine learning and infrastructure
  • You have experience with GPU systems, distributed systems, Kubernetes, AWS, MLOps, or production computer vision
  • You have hired or managed engineers while remaining deeply technical
  • You have significant open-source contributions, publications, or other public work demonstrating your impact in the field

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 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

  • Deep expertise in either computer vision and deep learning or production systems and infrastructure
  • Demonstrated success building substantial technical systems alongside multiple engineers
  • Track record of making sound architectural decisions and evolving complex systems pragmatically
  • Significant recent experience designing systems, writing production code, and debugging difficult cross-system failures
  • Strong communication skills, particularly when framing technical decisions and tradeoffs
  • Passion for learning and ability to work across different parts of the stack
  • Experience with GPU systems, distributed systems, Kubernetes, AWS, MLOps, or production computer vision
  • Experience hiring or managing engineers while remaining deeply technical
  • Significant open-source contributions, publications, or other public demonstrations of impact
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Palo Alto, CA
23 Employees
Year Founded: 2016

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.

Similar Jobs

General Motors Logo General Motors

Principal Software Engineer

Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Remote or Hybrid
Mountain View, CA, USA
165000 Employees
239K-366K Annually
Hybrid
2 Locations
289097 Employees

Rapid7 Logo Rapid7

Principal Software Engineer

Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Remote or Hybrid
United States
2400 Employees
191K-258K Annually

ServiceNow Logo ServiceNow

Principal Software Engineer

Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Hybrid
Santa Clara, CA, USA
29000 Employees
221K-387K Annually

Similar Companies Hiring

Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Revel.io Thumbnail
Aerospace • Hardware • Robotics • Software
US
50 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software • Productivity
US
15 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account