Majestic Labs tech stack
Majestic Labs builds mostly with C++, Python, SystemC, MATLAB. Its stack also includes PyTorch, PyTorch C++, CUDA Toolkit, AWS. C++ is named in 12 of the 30 job postings Majestic Labs published in the last 12 months (40%). Counted by Alion from the job postings of Majestic Labs, updated Oct 20, 2026.
What programming languages does Majestic Labs use?
C++ is named in 40% of job postings at Majestic Labs, followed by Python (30%), SystemC (10%), MATLAB (7%).
What frameworks and libraries does Majestic Labs use?
PyTorch is named in 23% of job postings at Majestic Labs, followed by PyTorch C++ (17%), Triton (17%), MLIR (17%).
PyTorch
7 23%
PyTorch C++
5 17%
SGLang
3 10%
Ignite
2 7%
JAX
2 7%
Show all (15)
What cloud and platforms does Majestic Labs use?
CUDA Toolkit is named in 13% of job postings at Majestic Labs, followed by AWS (13%), Linux (13%), RTOS (10%).
CUDA Toolkit
4 13%
AWS
4 13%
RTOS
3 10%
vLLM
3 10%
Cerebras
3 10%
Show all (11)
What developer tools does Majestic Labs use?
LLVM is named in 17% of job postings at Majestic Labs, followed by NVLink (13%), Groq (10%), Ansys HFSS (7%).
LLVM
5 17%
Groq
3 10%
Ansys HFSS
2 7%
Ansys SIwave
2 7%
Cadence Sigrity
2 7%
Cortex
2 7%
Show all (15)
What AI and ML technologies does Majestic Labs use?
BERT is named in 7% of job postings at Majestic Labs, followed by LLM (3%).
Which engineering practices does Majestic Labs ask for?
HPC is named in 20% of job postings at Majestic Labs, followed by Machine Learning (10%), SRE (7%), TCP/IP (7%).
HPC
6 20%
SRE
2 7%
AI Agents
1 3%
Multimodal AI
1 3%
What does each Majestic Labs team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
8 postingsHardware
7 postingsProduct
5 postingsHow does your stack fit Majestic Labs?
How modern is the Majestic Labs stack?
Majestic Labs scores 70 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.
Companies with a stack like Majestic Labs
Questions about the Majestic Labs tech stack
What programming languages does Majestic Labs use?
The languages named in Majestic Labs job postings are C++ (40%), Python (30%), SystemC (10%), MATLAB (7%), Perl (7%), as a share of the 30 postings of the last 12 months.
Does Majestic Labs use PyTorch?
Yes. PyTorch is named in 7 of 30 job postings (23%) and required in 5 of them.
What cloud and platforms does Majestic Labs use?
The cloud and platforms named in Majestic Labs job postings are CUDA Toolkit (4), AWS (4), Linux (4) (postings in brackets).
What skills do you need for a AI/ML job at Majestic Labs?
AI/ML postings at Majestic Labs most often require C++ (4), PyTorch (3), PyTorch C++ (3), Triton (3), out of 8 postings in the last 12 months.
Is the Majestic Labs tech stack changing?
No new technology has appeared in Majestic Labs job postings in the last six months.
How modern is the Majestic Labs tech stack?
Majestic Labs scores 70 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 Majestic Labs tech stack?
Alion reads every job posting Majestic Labs publishes and tags the technologies each one names. The figures on this page count the 30 postings of the last 12 months and were updated on Oct 20, 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, "Majestic Labs tech stack: 56 technologies from 30 job postings", as of Oct 20, 2026. https://alion.io/company/majestic-labs/technologies