Radical Numerics tech stack

Radical Numerics builds mostly with Python, C++, Rust, TypeScript. Its stack also includes PyTorch, Triton, CUDA Toolkit, vLLM. Python is named in 11 of the 14 job postings Radical Numerics published in the last 12 months (79%). Counted by Alion from the job postings of Radical Numerics, updated Sep 28, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 28, 2026
Technologies in use
35
Postings analysed
14
Open now
14
Modernity
61 /100
New in 6 months
3

What programming languages does Radical Numerics use?

Python is named in 79% of job postings at Radical Numerics, followed by C++ (14%), Rust (7%), TypeScript (7%).

Python 11 79% required in 91% · 11 open now · since Feb 2026
C++ 2 14% required in 100% · 2 open now · since Mar 2026
Rust 1 7% required in 100% · 1 open now · since Jun 2026
TypeScript 1 7% required in 100% · 1 open now · since Jul 2026

What frameworks and libraries does Radical Numerics use?

PyTorch is named in 57% of job postings at Radical Numerics, followed by Triton (29%), CUDA (21%), JAX (14%).

PyTorch 8 57% required in 88% · 8 open now · since Mar 2026
Triton 4 29% required in 75% · 4 open now · since Mar 2026
CUDA 3 21% required in 100% · 3 open now · since Mar 2026
JAX 2 14% required in 100% · 2 open now · since Mar 2026
PyTorch C++ 2 14% required in 100% · 2 open now · since Mar 2026
Megatron-LM 2 14% optional · 2 open now · since Mar 2026
TensorRT-LLM 2 14% optional · 2 open now · since Jun 2026
DeepSpeed 1 7% optional · 1 open now · since Jun 2026
Show all (10)
NCCL1
SGLang1

What cloud and platforms does Radical Numerics use?

CUDA Toolkit is named in 21% of job postings at Radical Numerics, followed by vLLM (14%), Kubernetes (7%), Linux (7%).

CUDA Toolkit 3 21% required in 100% · 3 open now · since Mar 2026
vLLM 2 14% optional · 2 open now · since Jun 2026
Kubernetes 1 7% required in 100% · 1 open now · since Jun 2026
Linux 1 7% required in 100% · 1 open now · since Jun 2026

What developer tools does Radical Numerics use?

TensorRT is named in 14% of job postings at Radical Numerics, followed by SLURM (7%).

TensorRT 2 14% optional · 2 open now · since Jun 2026
SLURM 1 7% required in 100% · 1 open now · since Jun 2026

Which engineering practices does Radical Numerics ask for?

Multimodal AI is named in 64% of job postings at Radical Numerics, followed by World Models (50%), Machine Learning (50%), Interpretability (21%).

Multimodal AI 9 64% required in 78% · 9 open now · since Feb 2026
World Models 7 50% required in 86% · 7 open now · since Feb 2026
Machine Learning 7 50% required in 71% · 7 open now · since Mar 2026
Interpretability 3 21% required in 100% · 3 open now · since Mar 2026
Diffusion Models 2 14% required in 100% · 2 open now · since Mar 2026
Fine-tuning 2 14% required in 100% · 2 open now · since Mar 2026
Post-training 2 14% required in 100% · 2 open now · since Mar 2026
Anomaly Detection 1 7% required in 100% · 1 open now · since Mar 2026
Show all (15)
Human-in-the-Loop1
Mixture of Experts1
Pre-training1
Reward Modeling1
Synthetic Data1
RLAIF1
RLHF1

What does each Radical Numerics team work with?

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

AI/ML

11 postings
Python9
PyTorch7
CUDA3
CUDA Toolkit3
Triton3
C++2

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How is the Radical Numerics 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
TensorRTJun 2026
TensorRT-LLMJun 2026
vLLMJun 2026
Not named for 6 months
Post-trainingMar 2026

How modern is the Radical Numerics stack?

Modern 61/100

Radical Numerics scores 61 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 Radical Numerics stack in its industry?

Share of the 1,988 companies in the same industries, whose stack Alion knows, that use each technology.

Python60%
PyTorch17%
Triton3%
CUDA4%
CUDA Toolkit4%
C++14%
JAX3%
Megatron-LM0%
PyTorch C++4%
TensorRT-LLM2%

What sets Radical Numerics apart

Triton3%
CUDA4%
CUDA Toolkit4%

Questions about the Radical Numerics tech stack

What programming languages does Radical Numerics use?

The languages named in Radical Numerics job postings are Python (79%), C++ (14%), Rust (7%), TypeScript (7%), as a share of the 14 postings of the last 12 months.

Does Radical Numerics use PyTorch?

Yes. PyTorch is named in 8 of 14 job postings (57%) and required in 7 of them.

What cloud and platforms does Radical Numerics use?

The cloud and platforms named in Radical Numerics job postings are CUDA Toolkit (3), vLLM (2), Kubernetes (1) (postings in brackets).

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

AI/ML postings at Radical Numerics most often require Python (9), PyTorch (7), CUDA (3), CUDA Toolkit (3), out of 11 postings in the last 12 months.

Is the Radical Numerics tech stack changing?

Yes. TensorRT, TensorRT-LLM, vLLM first appeared in Radical Numerics job postings in the last six months.

How modern is the Radical Numerics tech stack?

Radical Numerics scores 61 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 Radical Numerics tech stack?

Alion reads every job posting Radical Numerics publishes and tags the technologies each one names. The figures on this page count the 14 postings of the last 12 months and were updated on Sep 28, 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, "Radical Numerics tech stack: 35 technologies from 14 job postings", as of Sep 28, 2026. https://alion.io/company/radicalnumerics/technologies

Licence: CC BY-SA 4.0JSON