Mindbeam tech stack

Mindbeam builds mostly with C++, Python. Its stack also includes Kubernetes, JAX, PyTorch, AWS. JAX is named in 2 of the 3 job postings Mindbeam published in the last 12 months (67%). Counted by Alion from the job postings of Mindbeam, updated Oct 30, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 30, 2026
Technologies in use
15
Postings analysed
3
Open now
2
Modernity
67 /100

What programming languages does Mindbeam use?

C++ is named in 33% of job postings at Mindbeam, followed by Python (33%).

C++ 1 33% required in 100% · since May 2026
Python 1 33% required in 100% · 1 open now · since Jul 2026

What frameworks and libraries does Mindbeam use?

JAX is named in 67% of job postings at Mindbeam, followed by PyTorch (67%), TensorFlow (67%), CUDA (33%).

JAX 2 67% required in 100% · 2 open now · since Apr 2026
PyTorch 2 67% required in 100% · 2 open now · since Apr 2026
TensorFlow 2 67% required in 100% · 2 open now · since Apr 2026
CUDA 1 33% required in 100% · since May 2026
ROCm 1 33% required in 100% · since May 2026

What cloud and platforms does Mindbeam use?

Kubernetes is named in 67% of job postings at Mindbeam, followed by AWS (33%), Amazon EC2 (33%), Amazon EKS (33%).

Kubernetes 2 67% required in 100% · 2 open now · since Apr 2026
AWS 1 33% required in 100% · 1 open now · since Apr 2026
Amazon EC2 1 33% required in 100% · 1 open now · since Apr 2026
Amazon EKS 1 33% required in 100% · 1 open now · since Apr 2026

What developer tools does Mindbeam use?

Docker is named in 67% of job postings at Mindbeam, followed by TPU (67%).

Docker 2 67% required in 100% · 2 open now · since Apr 2026
TPU 2 67% required in 100% · 1 open now · since May 2026

Which engineering practices does Mindbeam ask for?

Machine Learning is named in 33% of job postings at Mindbeam, followed by Pre-training (33%).

Machine Learning 1 33% required in 100% · since May 2026
Pre-training 1 33% required in 100% · 1 open now · since Jul 2026

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How modern is the Mindbeam stack?

Modern 67/100

Mindbeam scores 67 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: 0; legacy ones: 0.

How common is the Mindbeam stack in its industry?

Share of the 848 companies in the same industries, whose stack Alion knows, that use each technology.

JAX5%
Kubernetes36%
PyTorch23%
TensorFlow13%
AWS44%
Amazon EC25%
Amazon EKS5%
C++16%
CUDA6%
Python65%

Questions about the Mindbeam tech stack

What programming languages does Mindbeam use?

The languages named in Mindbeam job postings are C++ (33%), Python (33%), as a share of the 3 postings of the last 12 months.

Does Mindbeam use JAX?

Yes. JAX is named in 2 of 3 job postings (67%) and required in 2 of them.

What cloud and platforms does Mindbeam use?

The cloud and platforms named in Mindbeam job postings are Kubernetes (2), AWS (1), Amazon EC2 (1) (postings in brackets).

Is the Mindbeam tech stack changing?

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

How modern is the Mindbeam tech stack?

Mindbeam scores 67 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: 0; legacy ones: 0.

How does Alion know the Mindbeam tech stack?

Alion reads every job posting Mindbeam publishes and tags the technologies each one names. The figures on this page count the 3 postings of the last 12 months and were updated on Oct 30, 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, "Mindbeam tech stack: 15 technologies from 3 job postings", as of Oct 30, 2026. https://alion.io/company/mindbeam/technologies

Licence: CC BY-SA 4.0JSON