Matroid
matroid.com
Actively hiring
Machine Learning
Industrial AI
Computer Vision
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News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$30M
4 rounds on record
Latest round
$20M
Series B · Oct 2020 · 6 yr ago
Team
26
US Form 5500 (plan participants) · Dec 2025 · -7% in a year
Hiring now
12
+1 posted in 30 days
Grants
$120k
2 grants · CORDIS
Backers
2
Energizecap, NEA
The money's age
Long since its last round
72 months since the last round · and hiring
Momentum
18/100
hiring for its size, in the news
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
May 17, 2024
Won a grant $75k · CORDIS
Oct 13, 2020
Raised a round Series B $20M
Mar 9, 2020
Won a grant $45k · CORDIS
Sep 18, 2017
Raised a round Series A $10M · TechCrunch
2016
Founded
Tractionpublic signals, read monthly
Web presence
top 0.35%
of 133.2M domains by links, Common Crawl
Hacker News stories
2
best: 6 points
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Grant | May 2024 | $75k | — | CORDIS |
| Series B | Oct 2020 | $20M | — | businesswire.com |
| Grant | Mar 2020 | $45k | — | CORDIS |
| Series A | Sep 2017 | $10M | — | TechCrunch |
Backed byfrom the funds' portfolios and accelerator catalogs
Energizecap 
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How Matroid hires
Truth index
B 70/100
Ghost roles
50%
Stale roles
0%
Reposted roles
0%
Matroid scores B on the Alion truth index (A is best, E worst), measured over 12 open roles re-checked against its own hiring board: 50% look like ghost listings, 0% have gone stale and 0% are the same role posted again. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
Overview
Matroid is a computer vision software company whose platform lets users build detectors that identify objects, actions, defects and events in images and video. It sells to manufacturers for visual inspection and to security and government customers, and supports vision language and vision foundation models. The company was founded in 2016. The company is headquartered in Palo Alto, California, United States.
News
King Charles III AI Summit at Dumfries House Matroid
King Charles III Convenes AI Leaders at Dumfries House, With Matroid in AttendanceOn September 17, King Charles III convened a private summit on artificial intelligence at Dumfries House in East Ayrshire, Scotland. Roughly 30 technology executives, govern
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Report
Best Video Analytics for Manufacturing Plants Compared by Use Case
A camera on a plant floor only becomes valuable at the moment its footage turns into a decision someone can act on. Recording is cheap and has been for years, which is why most facilities already have more video than they can realistically watch. What sep
Read more
Report
Quality Management in Manufacturing vs Inspection Only Approaches to Defect Reduction
Two plants can report the same scrap rate in the same month and still be running fundamentally different operations. One of them is very good at finding bad parts before they leave the building, catching them at final inspection and dispositioning them qu
Read more
Report
The Matroid Secretary Conjecture is True
Abstract page for arXiv paper 2609.14555: The Matroid Secretary Conjecture is True
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Report
How to Document Quality Control Procedures for Manufacturing Audits Using Vision Data
An auditor rarely opens by asking whether a plant can build a good part. The first real question is usually closer to how a specific inspection is performed, who approved that method, and where the records of the last production run are stored. A manufact
Read more
Report
What Compliance Tools Do on the Plant Floor When Monitoring Is Continuous
A compliance program is only as strong as the last hour of production it can honestly account for. Documentation proves that a plant knew what it was supposed to do, while continuous monitoring is what shows the work was actually done that way, on that sh
Read more
Report
Why Computer Vision for Manufacturing Pilots Stall Before Full Line Rollout
Computer vision usually earns its budget on a single station, and then it has to prove that it can survive an entire plant, which turns out to be a very different technical problem. A detector trained on one camera, one part number, and one lighting condi
Read more
Report
Visual Inspection Machines and When Fixed Hardware Still Beats Flexible Vision Systems
A defect that escapes the line costs far more than the same defect caught at the station where it was created, and every inspection decision a plant makes is really a decision about where that catch happens. That is why the question of what to inspect wit
Read more
Report
Intelligent Video Analytics Software Adoption Trends Across Discrete and Process Manufacturing
A defect that clears one station and surfaces three stations later carries a cost you can put a number on: scrap, rework, a quality hold on everything built since the last known-good unit, and an argument with a customer about containment. That consequenc
Read more
Report
Data-Driven Decision Making Examples From Plants That Cut Scrap and Rework
What the Manufacturing Cases Actually Show The most useful data-driven decision-making examples from manufacturing floors share a structural feature that generic business intelligence stories miss: the data was specific to a single defect signal, it arriv
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Report
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Tech stack
Technologies named in job postings at Matroid over the last 12 months, by layer, with the share of postings for each.
Technologies in use
37
Postings analysed
11
Stack modernity
82/100AI adopter
Languages
Python45%
JavaScript9%
Node JS9%
Frameworks & libraries
Ray55%
PyTorch36%
OpenCV27%
TensorFlow27%
Databases
Redis9%
Cloud & platforms
Kubernetes27%
Hugging Face18%
AWS18%
Linux9%
AI & ML
VLM18%
Gaussian Splatting9%
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Full Matroid tech stack
37 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
53/100
Stable
Open positions
12
0 opened / 0 closed in 30 days
Median time-to-fill
69 days
faster than 19% of the market
ATS activity
Every ~3 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
43% ▲
Backend
29% ▼
Solutions
29% ▲
Activity Timeline
Added Linux to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
Added Prompt Engineering to stack
Sep 2026
Added Apache Kafka to stack
Sep 2026
Added Agentic Workflows to stack
Sep 2026
Added Interpretability to stack
Sep 2026
Added Salesforce to stack
Sep 2026
Added HubSpot to stack
Sep 2026
Added Hugging Face to stack
Aug 2026
Added AI Agents to stack
Aug 2026
Added Edge AI to stack
Aug 2026
Added Node-RED to stack
Aug 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
Palo Alto
Palo Alto
United States
HQ
9 open roles 7 posted in 90 days 56% engineering 11% remote 50-200 est. staff
hires for Backend, AI/ML, Solutions
Jobs
≈ $159k – $299k per year (Estimated) • In office • Full-Time • 3+ years exp • Bachelor's Degree • Palo Alto
Python
Triton Inference Server
Multimodal AI
Computer Vision
ONNX
TensorRT
PyTorch
Ray
Anomaly Detection
Gaussian Splatting
World Models
Robotics
COLMAP
Apply
≈ $149k – $294k per year (Estimated) • In office • Full-Time • 3+ years exp • Master's Degree • Palo Alto
Python
OpenCV
Fine-tuning
JAX
Prompt Engineering
Multimodal AI
Computer Vision
VLM
TensorFlow
NumPy
PyTorch
Ray
Anomaly Detection
Hugging Face
Agentic Workflows
Machine Learning
Apply
≈ $162k – $355k per year (Estimated) • Hybrid • Full-Time • Bachelor's Degree • Palo Alto
Computer Vision
TensorFlow
PyTorch
Machine Learning
Apply
≈ $146k – $308k per year (Estimated) • In office • Full-Time • Palo Alto
JavaScript
Node JS
Computer Vision
Interpretability
Machine Learning
Frontend
React.js
DevOps
Docker
Kubernetes
Apply
≈ $169k – $343k per year (Estimated) • In office • Full-Time • Palo Alto
Computer Vision
Machine Learning
DevOps
AWS
Kubernetes
Apply
≈ $137k – $300k per year (Estimated) • Hybrid • Full-Time • Bachelor's Degree • Palo Alto
Python
OpenCV
Fine-tuning
JAX
Multimodal AI
Computer Vision
VLM
TensorFlow
NumPy
PyTorch
Ray
Anomaly Detection
Hugging Face
Agentic Workflows
Machine Learning
Apply
≈ $111k – $222k per year (Estimated) • Remote (United States) • Full-Time • 3+ years exp • Bachelor's Degree
OpenCV
Computer Vision
Ray
Apply
≈ $130k – $256k per year (Estimated) • In office • Full-Time • 4+ years exp • Bachelor's Degree • Palo Alto
Python
Redis
Apache Kafka
AI/ML
Computer Vision
Ray
Machine Learning
DevOps
Helm
Prometheus
AWS
Docker
Kubernetes
Nginx
Linux
Apply