Mat3ra
mat3ra.com
Actively hiring
High-Performance Computing
Machine Learning
Materials Science & Nanotechnology
AI for Science
Simulation & Digital Twin Software
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How Mat3ra hires
Truth index
D 40/100
Ghost roles
100%
Stale roles
0%
Reposted roles
0%
Mat3ra scores D on the Alion truth index (A is best, E worst), measured over 10 open roles re-checked against its own hiring board: 100% 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
Mat3ra, formerly Exabyte.io, provides a cloud platform for materials modelling that combines physics simulation with machine learning. Founded in 2014 in San Francisco, it lets semiconductor and chemicals teams run high-throughput calculations without managing clusters. The platform stores results in a searchable materials data bank.
Tech stack
Technologies named in job postings at Mat3ra over the last 12 months, by layer, with the share of postings for each.
Technologies in use
23
Postings analysed
10
Stack modernity
69/100
Languages
Bash50%
JavaScript40%
Python30%
Node JS20%
Frameworks & libraries
React.js40%
CUDA10%
Material UI10%
Cloud & platforms
Azure80%
AWS50%
Linux50%
GitHub40%
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Full Mat3ra tech stack
23 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$180k
Typical range
$140k – $200k
Open positions
10
6
Jobs
Staff
83.3%
Architect
16.7%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Staff | 5 | $180k | $180k |
| Architect | 1 | $200k | $200k |
Highest paying role
Cloud HPC Engineer
$200k
Normalized to USD per year
All salaries at Mat3ra
By role, level and city, against the market · 10 jobs with pay
Growth
Hiring Momentum
63/100
Growing
Open positions
10
0 opened / 0 closed in 30 days
ATS activity
Every ~6 hours
10/16/2026
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.
Management
20% ▼
Data Science
10% ▼
Backend
10% ▼
Frontend
10% ▼
DevOps
10% ▼
Leadership
10% ▼
Activity Timeline
Added Machine Learning to stack
Sep 2026
Added Linux to stack
Sep 2026
New location: Walnut Creek
Sep 2026
Added TPU to stack
Sep 2026
Added Google Docs to stack
Sep 2026
Added HPC to stack
Aug 2026
Added GitHub to stack
Aug 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
2
Countries
1
Busiest office
San Francisco
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Headquarters
Builds here
Office with open vacancies
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San Francisco
United States
HQ
2 open roles 100% engineering 10-50 est. staff $160k Avg Salary
hires for Data Science, Frontend
Walnut Creek
United States
Engineering / R&D
How many computational resources do you have?
8 open roles 38% engineering 50-200 est. staff $175k Avg Salary
hires for Management, Backend, DevOps
Jobs
$100k – $140k per year • Equity • Hybrid • Full-Time • Bachelor's Degree • San Francisco
Machine Learning
Apply
$120k – $180k per year • Equity • Hybrid • Full-Time • Bachelor's Degree • San Francisco
JavaScript
Bash
Machine Learning
Frontend
React.js
DevOps
Azure
AWS
SaltStack
Amazon EC2
GitHub
Linux
Apply
$120k – $180k per year • Equity • Hybrid • Full-Time • Bachelor's Degree • Walnut Creek
JavaScript
Node JS
Bash
Machine Learning
Frontend
React.js
DevOps
Red Hat
Azure
AWS
SaltStack
Amazon EC2
GitHub
Linux
Apply
$130k – $200k per year • Equity • Hybrid • Full-Time • Bachelor's Degree • Walnut Creek
Python
JavaScript
Node JS
Bash
Machine Learning
Frontend
React.js
DevOps
GCP
Red Hat
Azure
AWS
Docker
SaltStack
GitHub
Linux
Apply
$120k – $180k per year • Equity • Hybrid • Full-Time • Bachelor's Degree • Walnut Creek
JavaScript
Machine Learning
Frontend
React.js
Material UI
Mobile
Material Design
DevOps
Azure
Design
Figma
Apply
$130k – $200k per year • Equity • Hybrid • Full-Time • Bachelor's Degree • Walnut Creek
Python
Bash
CUDA Toolkit
OpenMP
CUDA
Machine Learning
DevOps
Ansible
GCP
Red Hat
Azure
AWS
Docker
SaltStack
GitHub
Linux
Apply