AnalogAI
AI Chips & Accelerators

AnalogAI tech stack

AnalogAI builds mostly with Python, C++, Verilog, Perl. Its stack also includes GitHub, CUDA, PyTorch, Figma. GitHub is named in 6 of the 7 job postings AnalogAI published in the last 12 months (86%). Counted by Alion from the job postings of AnalogAI, updated Nov 12, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Nov 12, 2026
Technologies in use
32
Postings analysed
7
Open now
6
Modernity
87 /100

What programming languages does AnalogAI use?

Python is named in 57% of job postings at AnalogAI, followed by C++ (43%), Verilog (43%), Perl (29%).

Python 4 57% required in 100% · 4 open now · since Dec 2025
C++ 3 43% required in 100% · 3 open now · since Dec 2025
Verilog 3 43% required in 100% · 3 open now · since Mar 2026
Perl 2 29% required in 100% · 2 open now · since Mar 2026

What frameworks and libraries does AnalogAI use?

CUDA is named in 29% of job postings at AnalogAI, followed by PyTorch (29%), TensorFlow (14%), TensorFlow C++ (14%).

CUDA 2 29% required in 100% · 2 open now · since Dec 2025
PyTorch 2 29% required in 100% · 2 open now · since Dec 2025
TensorFlow 1 14% required in 100% · 1 open now · since Mar 2026
TensorFlow C++ 1 14% required in 100% · 1 open now · since Mar 2026

What cloud and platforms does AnalogAI use?

GitHub is named in 86% of job postings at AnalogAI, followed by Figma (14%), Framer (14%), Webflow (14%).

GitHub 6 86% required in 100% · 6 open now · since Sep 2025
Figma 1 14% required in 100% · since Jul 2026
Framer 1 14% required in 100% · since Jul 2026
Webflow 1 14% required in 100% · since Jul 2026

What developer tools does AnalogAI use?

Cadence JasperGold is named in 29% of job postings at AnalogAI, followed by Cadence Virtuoso (29%), Formal Verification (29%), Synopsys SpyGlass (29%).

Cadence JasperGold 2 29% required in 100% · 2 open now · since Mar 2026
Cadence Virtuoso 2 29% required in 100% · 2 open now · since Mar 2026
Formal Verification 2 29% required in 100% · 2 open now · since Mar 2026
Synopsys SpyGlass 2 29% required in 100% · 2 open now · since Mar 2026
Cadence Genus 1 14% required in 100% · 1 open now · since Mar 2026
Cadence Innovus 1 14% required in 100% · 1 open now · since Mar 2026
Cadence Tempus 1 14% required in 100% · 1 open now · since Mar 2026
Canva 1 14% required in 100% · since Jul 2026
Show all (14)
Siemens Calibre1
Siemens ModelSim1
Synopsys Design Compiler1
Synopsys Fusion Compiler1
Synopsys IC Compiler II1
Synopsys PrimeTime1

What AI and ML technologies does AnalogAI use?

LLM is named in 71% of job postings at AnalogAI, followed by ChatGPT (14%), Claude (14%), Midjourney (14%).

LLM 5 71% required in 100% · 5 open now · since Sep 2025
ChatGPT 1 14% required in 100% · since Jul 2026
Claude 1 14% required in 100% · since Jul 2026
Midjourney 1 14% required in 100% · since Jul 2026

Which engineering practices does AnalogAI ask for?

Quantization is named in 43% of job postings at AnalogAI, followed by HPC (29%).

Quantization 3 43% required in 100% · 3 open now · since Dec 2025
HPC 2 29% required in 100% · 2 open now · since Dec 2025

What does each AnalogAI team work with?

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

Hardware

4 postings
GitHub4
LLM3
Verilog3
Cadence JasperGold2
Cadence Virtuoso2
Formal Verification2

See the open roles

How does your stack fit AnalogAI?

Sign in to compare your skills with this stack and see which open roles fit you.
Sign In

How is the AnalogAI 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.

Not named for 6 months
GitHubApr 2026
LLMApr 2026
PythonMar 2026
C++Mar 2026
QuantizationMar 2026
VerilogMar 2026
Cadence VirtuosoApr 2026
CUDAMar 2026

How modern is the AnalogAI stack?

Cutting-edge AI adopter 87/100

AnalogAI scores 87 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 4; legacy ones: 0.

How common is the AnalogAI stack in its industry?

Share of the 84 companies in the same industries, whose stack Alion knows, that use each technology.

GitHub44%
LLM63%
Python99%
C++94%
Verilog69%
CUDA56%
Perl46%
PyTorch68%
ChatGPT12%
Claude20%

Questions about the AnalogAI tech stack

What programming languages does AnalogAI use?

The languages named in AnalogAI job postings are Python (57%), C++ (43%), Verilog (43%), Perl (29%), as a share of the 7 postings of the last 12 months.

Does AnalogAI use CUDA?

Yes. CUDA is named in 2 of 7 job postings (29%) and required in 2 of them.

What cloud and platforms does AnalogAI use?

The cloud and platforms named in AnalogAI job postings are GitHub (6), Figma (1), Framer (1) (postings in brackets).

What skills do you need for a Hardware job at AnalogAI?

Hardware postings at AnalogAI most often require GitHub (4), LLM (3), Verilog (3), Cadence JasperGold (2), out of 4 postings in the last 12 months.

Is the AnalogAI tech stack changing?

No new technology has appeared in AnalogAI job postings in the last six months.

How modern is the AnalogAI tech stack?

AnalogAI scores 87 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 4; legacy ones: 0.

How does Alion know the AnalogAI tech stack?

Alion reads every job posting AnalogAI publishes and tags the technologies each one names. The figures on this page count the 7 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, "AnalogAI tech stack: 32 technologies from 7 job postings", as of Nov 12, 2026. https://alion.io/company/analog-ai-com/technologies

Licence: CC BY-SA 4.0JSON