EdgeCortix
edgecortix.com
Actively hiring
Edge AI
AI Chips & Accelerators
Processors, MCUs & AI Chips
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Overview
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Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$20M
2 rounds on record
Latest round
Series B
Nov 2025 · 11 mo ago
Team
51-200
employees, estimated range
Hiring now
18
+1 posted in 30 days
The money's age
Fresh money
11 months since the last round · and hiring
Momentum
37/100
hiring for its size, in the news, fresh money
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
Sep 23
Launched EdgeCortix Unveils RAIDEN, a Scalable, Energy-Efficient AI Chiplet Platform Purpose-Built for Physical AI · YahooFinance
Nov 4, 2025
Raised a round Series B
Dec 20, 2024
Partnership EdgeCortix joins AI-RAN Alliance for AI in telecom infrastructure · eeNews Europe
Oct 3, 2023
Raised a round Venture round $20M
Jun 2, 2021
Partnership EdgeCortix Collaborates With Cadence To Accelerate AI Chip Design · sdxcentral.com
2019
Founded
Tractionpublic signals, read monthly
Web presence
top 2%
of 133.2M domains by links, Common Crawl
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Series B | Nov 2025 | — | — | businesswire.com |
| Venture round | Oct 2023 | $20M | — | design-reuse.com |
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How EdgeCortix hires
Truth index
D 50/100
Ghost roles
83%
Stale roles
0%
Reposted roles
0%
EdgeCortix scores D on the Alion truth index (A is best, E worst), measured over 18 open roles re-checked against its own hiring board: 83% 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
EdgeCortix is a Tokyo semiconductor company founded in 2019 that designs energy-efficient artificial intelligence accelerators for edge computing. Its dynamic neural accelerator architecture and compiler stack target robotics, aerospace, defence and telecommunications equipment where power and latency are constrained. The company works with Japanese and international partners on chips and system-on-module products.
News
日本EdgeCortix发布RAIDEN芯粒平台：3.36 PFLOPS瞄准物理AI
9月24日无晶圆厂半导体企业EdgeCortix发布下一代可扩展AI芯粒平台RAIDEN最高可提供3.36 PFLOPS的FP4AI算力与256GB内存并宣称在面向物理AI的边缘处理上具备领先优势 …
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Report
EdgeCortix發表RAIDEN--專為實體人工智慧打造之可擴充、節能AI小晶片平台
日本神奈川縣, September 24, 2026--(美國商業資訊)--實體人工智慧正面臨系統層面的挑戰能夠在現實世界中感知、推理與行動的機器無法僅靠增加人工智慧加速器來實現擴充運算能力、記憶體容量、記憶體頻寬、連接性與軟體皆須同步擴展並隨人工智慧模型與應用工作負載之演進持續擴充今日日本領先的無晶圓廠半導體公司、專精於節能人工智慧處理技術之EdgeCortix發表RAIDEN此為專為解決上述挑戰而打造之新世代可擴充人工智慧小晶片平台透過此小晶片平台RAIDEN將EdgeCortix的節能設計推向全新效
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EdgeCortix Unveils RAIDEN, a Scalable, Energy-Efficient AI Chiplet Platform Purpose-Built for Physical AI
KANAGAWA, Japan, September 23, 2026--Physical AI has a system problem. Machines that perceive, reason and act in the real world cannot scale by adding AI accelerators alone. Compute, memory capacity, memory bandwidth, connectivity, and software must scale
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Report
EdgeCortix Signs Multi-Year, Multimillion-Dollar Agreement with Kawasaki Heavy Industries to Advance Next-Generation AI-Enabled Aerial Defense Systems
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Report
EdgeCortix Demonstrates Edge AI Platform Readiness with U.S. Air Force and Receives Success Memorandum from the Defense Innovation Unit
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Report
EdgeCortix Demonstrates Edge AI Platform Readiness with U.S. Air Force and Receives Success Memorandum from the Defense Innovation Unit
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Report
From Cloud AI To Real-World Agents: The Shift To Intelligence That Acts
The next era of AI may be defined less by raw computing power and more by how much intelligence it can deliver per watt.
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Report
EdgeCortix: New Investment From Axiro Semiconductor And MPower Partners To Accelerate Edge AI Platform Development
EdgeCortix announced a new strategic investment from Axiro Semiconductor and MPower Partners, reinforcing its position in energy-efficient AI processing and supporting the advancement of next-generation edge AI platforms.
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Report
EdgeCortix secures Axiro, MPower investment to accelerate AI chip innovation
EdgeCortix secures investment from Axiro and MPower to boost energy-efficient AI chip development and expand global presence in next-gen AI platforms.
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Report
CG Power arm Axiro, MPower invest in Japanese AI chipmaker EdgeCortix
Axiro Semiconductor and MPower Partners have made a significant leap by investing in EdgeCortix, a trailblazing firm from Japan dedicated to advancing energy-efficient AI technology. This funding is set to expedite EdgeCortixs innovations in next-gen plat
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Tech stack
Technologies named in job postings at EdgeCortix over the last 12 months, by layer, with the share of postings for each.
Technologies in use
21
Postings analysed
6
Stack modernity
81/100AI adopter
Languages
Python
SystemVerilog
C++
Perl
Frameworks & libraries
UVM
OpenCL
PyTorch
PyTorch C++
Cloud & platforms
GitLab CI
AI & ML
LLM
VLM
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Full EdgeCortix tech stack
21 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
48/100
Stable
Open positions
18
0 opened / 0 closed in 30 days
ATS activity
Every ~5 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.
Hardware
67% ▲
Industrial Engineering
33% ▼
Offices
Where the company hires and what each office is for
Cities
4
Hiring now
3
Countries
3
Busiest office
Hyderabad
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Headquarters
Builds here
Office with open vacancies
No open vacancies right now Tap a pin for the office
Tokyo
Japan
HQ
Hyderabad
Pakistan
Engineering / R&D
8 open roles 1 posted in 90 days 75% engineering 50-200 est. staff
hires for Hardware, QA, Management
Kawasaki
Japan
Engineering / R&D
8 open roles 1 posted in 90 days 63% engineering 50-200 est. staff
hires for Hardware, AI/ML, Backend
Arlington
United States
1 open roles 10-50 est. staff
hires for Marketing
Jobs
In office • Full-Time • 10+ years exp • PhD
Computer Vision
Machine Learning
Apply
≈ $34k – $78k per year (Estimated) • Equity • In office • Full-Time • 6+ years exp • Hyderabad
Python
SystemVerilog
Perl
Computer Vision
Machine Learning
DevOps
GitLab CI
CI/CD
Jenkins
Git
Chips/EDA
UVM
Formal Verification
Apply
≈ $36k – $83k per year (Estimated) • Equity • In office • Full-Time • 6+ years exp • Hyderabad
SystemVerilog
Computer Vision
Machine Learning
Chips/EDA
UVM
Apply
≈ $45k – $103k per year (Estimated) • Equity • In office • Full-Time • 6+ years exp • Bachelor's Degree • Kawasaki
Python
C++
Edge AI
Machine Learning
DevOps
Linux
IoT
FreeRTOS
Apply
Equity • In office • Full-Time • Master's Degree • Kawasaki
Python
Reinforcement Learning
Quantization
Computer Vision
NLP
Transformers
TensorFlow
PyTorch
GNN
Edge AI
Apache TVM
XLA
Machine Learning
DevOps
GitHub
GitLab
Apply
≈ $23k – $65k per year (Estimated) • Equity • In office • Full-Time • 5+ years exp • Bachelor's Degree • Hyderabad
Python
Ruby
C++
Groovy
TensorFlow C++
PyTorch C++
AI/ML
Computer Vision
TensorFlow
Keras
PyTorch
Edge AI
Machine Learning
DevOps
Jenkins
Kubernetes
Linux
Management
Agile
Apply
≈ $35k – $80k per year (Estimated) • Equity • In office • Full-Time • 6+ years exp • Hyderabad
Python
SystemVerilog
Computer Vision
Edge AI
Machine Learning
DevOps
CircleCI
GitLab CI
CI/CD
Jenkins
Chips/EDA
UVM
Formal Verification
Apply
≈ $28k – $66k per year (Estimated) • In office • Full-Time • 4+ years exp • Hyderabad
Python
Verilog
Ruby
C++
Perl
Chisel
Computer Vision
Machine Learning
Apply
≈ $36k – $82k per year (Estimated) • In office • Full-Time • 8+ years exp • Bachelor's Degree • Hyderabad
Python
Computer Vision
Machine Learning
DevOps
Unix
Chips/EDA
Synopsys PrimeTime
Formal Verification
Apply
Equity • In office • Full-Time • Kawasaki
Python
Java
C++
SystemVerilog
Computer Vision
Machine Learning
DevOps
CI/CD
Chips/EDA
UVM
Apply
≈ $43k – $93k per year (Estimated) • Equity • In office • Full-Time • 5+ years exp • Bachelor's Degree • Kawasaki
Python
C++
TensorFlow C++
PyTorch C++
LLVM
AI/ML
CUDA Toolkit
Quantization
Multimodal AI
Computer Vision
ONNX
OpenMP
OpenCL
Transformers
TensorFlow
PyTorch
CUDA
Edge AI
MLIR
Machine Learning
DevOps
CI/CD
Jenkins
Git
GitHub
GitLab
Management
Agile
Apply
≈ $44k – $101k per year (Estimated) • Equity • In office • Full-Time • 6+ years exp • Kawasaki
Python
SystemVerilog
Perl
Computer Vision
Machine Learning
DevOps
CircleCI
GitLab CI
CI/CD
Jenkins
Chips/EDA
UVM
Cadence Genus
Cadence Conformal
Apply