Axelera AI
Edge AI · AI Chips & Accelerators

Axelera AI tech stack

Axelera AI builds mostly with Python, C++, Bash, Verilog. Its stack also includes Linux, PyTorch, Debian, MLIR. Python is named in 10 of the 19 job postings Axelera AI published in the last 12 months (53%). Counted by Alion from the job postings of Axelera AI, updated Nov 12, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Nov 12, 2026
Technologies in use
65
Postings analysed
19
Open now
8
Modernity
74 /100
New in 6 months
8

What programming languages does Axelera AI use?

Python is named in 53% of job postings at Axelera AI, followed by C++ (21%), Bash (11%), Verilog (11%).

Python 10 53% required in 90% · 3 open now · since Nov 2025
C++ 4 21% required in 100% · 2 open now · since Nov 2025
Bash 2 11% required in 100% · since Jun 2026
Verilog 2 11% required in 100% · since Jan 2026
Embedded C 1 5% required in 100% · since Sep 2026
SystemVerilog 1 5% required in 100% · since Feb 2026
C 1 5% optional · since Sep 2026
Rust 1 5% optional · since Sep 2026
Show all (9)
TypeScript1

What frameworks and libraries does Axelera AI use?

PyTorch is named in 37% of job postings at Axelera AI, followed by MLIR (16%), ONNX Runtime (16%), OpenCL (16%).

PyTorch 7 37% required in 86% · 2 open now · since Nov 2025
MLIR 3 16% required in 100% · 1 open now · since Sep 2026
ONNX Runtime 3 16% required in 100% · 1 open now · since Sep 2026
OpenCL 3 16% required in 100% · 2 open now · since Nov 2025
Apache TVM 2 11% required in 100% · 1 open now · since Oct 2026
CUDA 2 11% required in 100% · 2 open now · since Nov 2025
TensorFlow 2 11% required in 100% · 1 open now · since Nov 2025
TensorFlow C++ 2 11% required in 100% · 1 open now · since Nov 2025
Show all (14)
ExecuTorch1
GStreamer1
IREE1
Triton1
XLA1
Tauri1

What cloud and platforms does Axelera AI use?

Linux is named in 37% of job postings at Axelera AI, followed by Debian (16%), GitHub (11%), RTOS (5%).

Linux 7 37% required in 100% · since May 2026
Debian 3 16% required in 33% · since May 2026
GitHub 2 11% required in 100% · 1 open now · since Sep 2026
RTOS 1 5% required in 100% · since Jun 2026
Ubuntu 1 5% required in 100% · since Jun 2026
vLLM 1 5% required in 100% · since Oct 2026
AWS 1 5% optional · since Sep 2026
GCP 1 5% optional · since Sep 2026

What developer tools does Axelera AI use?

ONNX is named in 21% of job postings at Axelera AI, followed by Model Context Protocol (16%), Altium Designer (11%), Git (11%).

ONNX 4 21% required in 75% · 1 open now · since Sep 2026
Model Context Protocol 3 16% required in 100% · 1 open now · since Sep 2026
Altium Designer 2 11% required in 100% · 1 open now · since Jun 2026
Git 2 11% required in 100% · since Sep 2026
TensorRT 2 11% required in 100% · since Sep 2026
Microsoft Excel 2 11% required in 50% · 2 open now · since Nov 2026
Docker 1 5% required in 100% · since Sep 2026
KiCad 1 5% required in 100% · 1 open now · since Sep 2026
Show all (11)
Mandiant capa1
OpenVINO1
llama.cpp1

What AI and ML technologies does Axelera AI use?

LLM is named in 21% of job postings at Axelera AI, followed by VLM (5%).

LLM 4 21% required in 100% · 1 open now · since Sep 2026
VLM 1 5% required in 100% · since Oct 2026

Which engineering practices does Axelera AI ask for?

Computer Vision is named in 37% of job postings at Axelera AI, followed by Edge AI (26%), Quantization (26%), AI Agents (21%).

Computer Vision 7 37% required in 100% · 1 open now · since Nov 2025
Edge AI 5 26% required in 80% · 2 open now · since May 2026
Quantization 5 26% required in 80% · since Sep 2026
AI Agents 4 21% required in 100% · 1 open now · since Sep 2026
HPC 2 11% required in 100% · 1 open now · since May 2026
Multimodal AI 2 11% required in 50% · since Sep 2026
Function Calling 1 5% required in 100% · since Sep 2026
KV Cache 1 5% required in 100% · since Oct 2026
Show all (21)
LLM Evaluation1
Machine Learning1
Mixture of Experts1
Platform Engineering1
Sensor Fusion1
Speculative Decoding1
Speech Recognition1
Structured Outputs1
Text-to-Speech1
Tokenization1
Transfer Learning1
CI/CD1
Fine-tuning1

What does each Axelera AI team work with?

The technologies each team's postings require most often, with the number of postings that require them.

AI/ML

4 postings
LLM3
Model Context Protocol3
PyTorch3
Python3
Apache TVM2
C++2

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How is the Axelera AI stack changing?

Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.

First appeared
Microsoft ExcelNov 2026
Apache TVMOct 2026
MLIRSep 2026
ONNX RuntimeSep 2026
GitHubSep 2026
GitSep 2026
TensorRTSep 2026
QuantizationSep 2026
Not named for 6 months
VerilogFeb 2026

How modern is the Axelera AI stack?

Modern AI adopter 74/100

Axelera AI scores 74 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 2; legacy ones: 0.

How common is the Axelera AI stack in its industry?

Share of the 304 companies in the same industries, whose stack Alion knows, that use each technology.

Python81%
Linux63%
PyTorch44%
C++75%
LLM41%
Debian5%
MLIR21%
ONNX Runtime10%
OpenCL12%
Apache TVM17%

Questions about the Axelera AI tech stack

What programming languages does Axelera AI use?

The languages named in Axelera AI job postings are Python (53%), C++ (21%), Bash (11%), Verilog (11%), Embedded C (5%), as a share of the 19 postings of the last 12 months.

Does Axelera AI use PyTorch?

Yes. PyTorch is named in 7 of 19 job postings (37%) and required in 6 of them.

What cloud and platforms does Axelera AI use?

The cloud and platforms named in Axelera AI job postings are Linux (7), Debian (3), GitHub (2) (postings in brackets).

What skills do you need for a AI/ML job at Axelera AI?

AI/ML postings at Axelera AI most often require LLM (3), Model Context Protocol (3), PyTorch (3), Python (3), out of 4 postings in the last 12 months.

Is the Axelera AI tech stack changing?

Yes. Microsoft Excel, Apache TVM, MLIR, ONNX Runtime first appeared in Axelera AI job postings in the last six months.

How modern is the Axelera AI tech stack?

Axelera AI scores 74 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 2; legacy ones: 0.

How does Alion know the Axelera AI tech stack?

Alion reads every job posting Axelera AI publishes and tags the technologies each one names. The figures on this page count the 19 postings of the last 12 months and were updated on Nov 12, 2026.

Method and citation

Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count

Alion, "Axelera AI tech stack: 65 technologies from 19 job postings", as of Nov 12, 2026. https://alion.io/company/axelera/technologies

Licence: CC BY-SA 4.0JSON