Myrtle
myrtle.ai
Actively hiring
MLOps
AI Chips & Accelerators
AI Compute & Inference
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Latest round
Venture round
Mar 2022 · 4 yr ago
Hiring now
11
+11 posted in 30 days
Backers
1
IQ Capital
The money's age
Long since its last round
55 months since the last round · and hiring
Momentum
55/100
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
Mar 16, 2022
Raised a round Venture round
May 21, 2019
Raised a round Venture round
Dec 6, 2018
Raised a round Venture round
Jun 13, 2017
Raised a round Venture round
2017
Founded
Dec 3, 2014
Raised a round Venture round
Aug 29, 2014
Raised a round Venture round
Mar 4, 2010
Raised a round Venture round
Tractionpublic signals, read monthly
Web presence
top 2%
of 133.2M domains by links, Common Crawl
Hacker News stories
6
best: 2 points
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Venture round | Mar 2022 | — | — | find-and-update.company-information.service.gov.uk |
| Venture round | May 2019 | — | — | find-and-update.company-information.service.gov.uk |
| Venture round | Dec 2018 | — | — | find-and-update.company-information.service.gov.uk |
| Venture round | Jun 2017 | — | — | find-and-update.company-information.service.gov.uk |
| Venture round | Dec 2014 | — | — | find-and-update.company-information.service.gov.uk |
| Venture round | Aug 2014 | — | — | find-and-update.company-information.service.gov.uk |
| Venture round | Mar 2010 | — | — | find-and-update.company-information.service.gov.uk |
Registers and programsofficial lists and records that name the company
| Legal entity | Myrtle Software Ltd | its site |
Backed byfrom the funds' portfolios and accelerator catalogs
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How Myrtle hires
Truth index
B 80/100
Median time to fill
30 days
Ghost roles
17%
Stale roles
0%
Reposted roles
67%
Myrtle scores B on the Alion truth index (A is best, E worst), measured over 6 open roles re-checked against its own hiring board: 17% look like ghost listings, 0% have gone stale and 67% are the same role posted again. Its roles close in a median of 30 days. 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
News
20 years later: Remembering the Myrtle Beach Pavilion
Thursday marks 20 years since the Myrtle Beach Pavilion closed to the general public, ending generations of rides, music and memories along the Grand Strand.The
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Report
Report
Myrtle.ai Halves Latency in Financial Machine Learning Inference Benchmark Record with VOLLO
media1034229CAMBRIDGE, England, April 29, 2026 /PRNewswire/ -- myrtle.ai, a recognized leader in accelerating machine learning inference, today announced that a stack featuring its VOLLO product has recently been audited by STAC, a leading benchmark autho
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Myrtle.ai Halves Latency in Financial Machine Learning Inference Benchmark Record with VOLLO
/PRNewswire/ -- myrtle.ai, a recognized leader in accelerating machine learning inference, today announced that a stack featuring its VOLLO product has...
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Myrtle.ai Halves Latency in Financial Machine Learning Inference Benchmark Record with VOLLO
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Myrtle.ai Halves Latency in Financial Machine Learning Inference Benchmark Record with VOLLO
Myrtle.ai Halves Latency in Financial Machine Learning Inference Benchmark Record with VOLLO
Read more
Report
Myrtle.ai Enables Microsecond ML Inference Latencies running VOLLO on Napatech SmartNICs
/PRNewswire/ -- Myrtle.ai, a recognized leader in accelerating machine learning inference, today released support for its VOLLO inference accelerator on the...
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Myrtle.ai、AMD Alveo V80コンピューティング・アクセラレータカード上で大規模モデルのマイクロ秒レベルのML推論レイテンシを実現
Myrtle.ai、AMD Alveo V80コンピューティング・アクセラレータカード上で大規模モデルのマイクロ秒レベルのML推論レイテンシを実現
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Tech stack
Technologies named in job postings at Myrtle over the last 12 months, by layer, with the share of postings for each.
Technologies in use
26
Postings analysed
19
Stack modernity
72/100
Languages
Python47%
1C26%
Bash16%
C++11%
Frameworks & libraries
OpenCV11%
PyTorch11%
PyTorch C++11%
NumPy5%
Cloud & platforms
Linux32%
Debian16%
GitHub16%
GitLab16%
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Full Myrtle tech stack
26 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$34k
Typical range
$28k – $40k
Open positions
2
1
Jobs
Senior
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Senior | 1 | $28k | $28k |
Highest paying role
DevOps-инженер
$40k
Normalized to USD per year
Growth
Hiring Momentum
82/100
Scaling fast
Open positions
11
8 opened / 5 closed in 30 days
Median time-to-fill
24 days
faster than 48% of the market
ATS activity
Every ~1 days
10/14/2026
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.
Finance
21% ▲
Analytics
17% ▼
DevOps
13% ▲
AI/ML
8% ▼
Robotics
8% ▼
Field & Service
8% ▼
Actively hiring for Finance (+3 in 30 days)
Activity Timeline
Added Figma to stack
Oct 2026
Added Canva to stack
Oct 2026
Added Altium Designer to stack
Sep 2026
Added Simulink to stack
Sep 2026
Added SciPy to stack
Sep 2026
Added NumPy to stack
Sep 2026
Added MATLAB to stack
Sep 2026
Added Ansys HFSS to stack
Sep 2026
Added 1C to stack
Sep 2026
Added Waterfall to stack
Sep 2026
Added UML to stack
Sep 2026
Added BPMN to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
Saint Petersburg
Saint Petersburg
Russia
HQ
11 open roles 24 posted in 90 days 45% engineering $34k Avg Salary
hires for Finance, AI/ML, Backend
Лиговский проспект 153
Jobs
$41k per year (net) • In office • Full-Time • Saint Petersburg
Python
Bash
Ansible
Debian
GitLab CI
CI/CD
Git
Docker
Linux
Apply
≈ $18k – $39k per year (Estimated) • In office • Full-Time • 3+ years exp • Saint Petersburg
Python
MATLAB
Simulink
AI/ML
SciPy
NumPy
Machine Learning
Chips/EDA
Ansys HFSS
Apply
≈ $17k – $44k per year (Estimated) • In office • Full-Time • Saint Petersburg
Machine Learning
DevOps
Linux
Chips/EDA
Altium Designer
Apply
≈ $18k – $35k per year (Estimated) • In office • Full-Time • 3+ years exp • Saint Petersburg
Python
Machine Learning
DevOps
Git
GitHub
GitLab
Management
Jira
Agile
Scrum
UML
BPMN
Waterfall
Apply
≈ $19k – $51k per year (Estimated) • In office • Full-Time • 2+ years exp • Saint Petersburg
Python
C++
PyTorch C++
AI/ML
OpenCV
PyTorch
Machine Learning
DevOps
Linux
Apply
Financials
Latest round
Venture - Series Unknown
Funding rounds
7
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Venture - Series Unknown | 2022 | — | Details |
| Venture - Series Unknown | 2019 | — | Details |
| Venture - Series Unknown | 2018 | — | Details |
| Venture - Series Unknown | 2017 | — | Details |
| Venture - Series Unknown | 2014 | — | Details |
| Venture - Series Unknown | 2014 | — | Details |
| Venture - Series Unknown | 2010 | — | Details |