FuriosaAI
AI Chips & Accelerators · Processors, MCUs & AI Chips

FuriosaAI tech stack

FuriosaAI builds mostly with Python, C++, Rust, C. Its stack also includes Linux, PyTorch, vLLM, SGLang. Python is named in 35 of the 86 job postings FuriosaAI published in the last 12 months (41%). Counted by Alion from the job postings of FuriosaAI, updated Nov 11, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Nov 11, 2026
Technologies in use
98
Postings analysed
86
Open now
45
Modernity
77 /100

What programming languages does FuriosaAI use?

Python is named in 41% of job postings at FuriosaAI, followed by C++ (40%), Rust (38%), C (9%).

Python 35 41% required in 86% · 22 open now · since Aug 2026
C++ 34 40% required in 74% · 19 open now · since Aug 2026
Rust 33 38% required in 61% · 18 open now · since Aug 2026
C 8 9% optional · 5 open now · since Aug 2026
SystemVerilog 7 8% required in 100% · 4 open now · since Aug 2026
Embedded C 6 7% required in 100% · 3 open now · since Aug 2026
Bash 6 7% required in 33% · 4 open now · since Aug 2026
Chisel 5 6% required in 20% · 3 open now · since Aug 2026
Show all (15)
Go4
Perl4
Verilog3
SQL2
Assembly1
Scala1
Cython1

What frameworks and libraries does FuriosaAI use?

PyTorch is named in 22% of job postings at FuriosaAI, followed by SGLang (16%), TensorRT-LLM (16%), Triton (12%).

PyTorch 19 22% required in 89% · 9 open now · since Aug 2026
SGLang 14 16% required in 50% · 8 open now · since Aug 2026
TensorRT-LLM 14 16% required in 29% · 8 open now · since Aug 2026
Triton 10 12% required in 20% · 3 open now · since Aug 2026
CUDA 9 10% required in 22% · 2 open now · since Aug 2026
TensorFlow 6 7% required in 100% · 3 open now · since Aug 2026
MLIR 6 7% optional · 3 open now · since Aug 2026
UVM 5 6% required in 100% · 3 open now · since Aug 2026
Show all (20)
TensorFlow C++4
AutoGen4
LangChain4
LangGraph4
JAX2
LlamaIndex2
Apache TVM2
Cocotb2
Transformers1
OpenTelemetry1
PyO31
Pytest1

What cloud and platforms does FuriosaAI use?

Linux is named in 28% of job postings at FuriosaAI, followed by vLLM (20%), Kubernetes (7%), RTOS (6%).

Linux 24 28% required in 46% · 15 open now · since Aug 2026
vLLM 17 20% required in 53% · 10 open now · since Aug 2026
Kubernetes 6 7% required in 50% · 4 open now · since Aug 2026
RTOS 5 6% required in 40% · 2 open now · since Aug 2026
GitHub 3 3% required in 67% · 2 open now · since Aug 2026
Hugging Face 3 3% required in 33% · 1 open now · since Aug 2026
Ubuntu 3 3% optional · 2 open now · since Aug 2026
AWS 2 2% required in 100% · 1 open now · since Aug 2026
Show all (17)
GCP2
U-Boot2
Grafana2
Istio1
CentOS Stream1
GitHub Actions1
Manylinux1
Metabase1
Superset1

What developer tools does FuriosaAI use?

TensorRT is named in 16% of job postings at FuriosaAI, followed by TPU (13%), Ansys SIwave (5%), Cadence Allegro (5%).

TensorRT 14 16% required in 7% · 8 open now · since Aug 2026
TPU 11 13% optional · 6 open now · since Aug 2026
Ansys SIwave 4 5% required in 100% · 1 open now · since Aug 2026
Cadence Allegro 4 5% required in 100% · 2 open now · since Aug 2026
Git 4 5% required in 100% · 2 open now · since Aug 2026
Synopsys HSPICE 4 5% required in 50% · 2 open now · since Aug 2026
Docker 4 5% required in 25% · 3 open now · since Aug 2026
LLVM 4 5% optional · 2 open now · since Aug 2026
Show all (22)
Synopsys ZeBu4
Claude Code3
Model Context Protocol3
Ansys RedHawk2
Copilot2
Cursor2
ONNX2
OpenAI Codex2
Triton Inference Server2
Google ADK2
Bazel1
CMake1
Prometheus1
PyBind111

What AI and ML technologies does FuriosaAI use?

LLM is named in 41% of job postings at FuriosaAI, followed by Mamba (2%).

LLM 35 41% required in 83% · 18 open now · since Aug 2026
Mamba 2 2% optional · 1 open now · since Aug 2026

Which engineering practices does FuriosaAI ask for?

AI Agents is named in 15% of job postings at FuriosaAI, followed by KV Cache (13%), CI/CD (10%), Multimodal AI (9%).

AI Agents 13 15% required in 77% · 5 open now · since Aug 2026
KV Cache 11 13% required in 82% · 5 open now · since Aug 2026
CI/CD 9 10% required in 78% · 5 open now · since Aug 2026
Multimodal AI 8 9% required in 75% · 4 open now · since Aug 2026
Post-training 7 8% required in 100% · 3 open now · since Aug 2026
Quantization 7 8% required in 43% · 2 open now · since Aug 2026
Function Calling 6 7% required in 67% · 2 open now · since Aug 2026
HPC 5 6% required in 40% · 4 open now · since Aug 2026
Show all (22)
NLP5
Vision-Language-Action4
Speculative Decoding4
Machine Learning4
IAM2
Multi-Agent Systems2
RAG2
SFT2
SLI/SLO/SLA2
A/B Testing2
eBPF2
Mixture of Experts1
Service Mesh1
GitOps1

What does each FuriosaAI team work with?

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

Backend

25 postings
C++14
Rust9
LLM8
Python5
Go4
Linux4

Hardware

19 postings
C++6
Python6
Rust6
SystemVerilog5
UVM5
Ansys SIwave4

AI/ML

13 postings
LLM11
PyTorch10
Python4
C++3
JAX2
SystemVerilog2

DevOps

7 postings
CUDA2
Cadence Allegro2
Kubernetes2
LLM2
Python2
Rust2

Solutions

7 postings
vLLM4
Python3
AutoGen2
LLM2
LangChain2
LangGraph2

Industrial Engineering

5 postings
Python4
Linux2

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How modern is the FuriosaAI stack?

Cutting-edge AI adopter 77/100

FuriosaAI scores 77 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: 2; legacy ones: 0.

How common is the FuriosaAI stack in its industry?

Share of the 243 companies in the same industries, whose stack Alion knows, that use each technology.

LLM41%
Python81%
C++78%
Rust26%
Linux64%
PyTorch42%
vLLM24%
SGLang19%
TensorRT-LLM14%
Triton22%

Questions about the FuriosaAI tech stack

What programming languages does FuriosaAI use?

The languages named in FuriosaAI job postings are Python (41%), C++ (40%), Rust (38%), C (9%), SystemVerilog (8%), as a share of the 86 postings of the last 12 months.

Does FuriosaAI use PyTorch?

Yes. PyTorch is named in 19 of 86 job postings (22%) and required in 17 of them.

What cloud and platforms does FuriosaAI use?

The cloud and platforms named in FuriosaAI job postings are Linux (24), vLLM (17), Kubernetes (6) (postings in brackets).

What skills do you need for a Backend job at FuriosaAI?

Backend postings at FuriosaAI most often require C++ (14), Rust (9), LLM (8), Python (5), out of 25 postings in the last 12 months.

Is the FuriosaAI tech stack changing?

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

How modern is the FuriosaAI tech stack?

FuriosaAI scores 77 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: 2; legacy ones: 0.

How does Alion know the FuriosaAI tech stack?

Alion reads every job posting FuriosaAI publishes and tags the technologies each one names. The figures on this page count the 86 postings of the last 12 months and were updated on Nov 11, 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, "FuriosaAI tech stack: 98 technologies from 86 job postings", as of Nov 11, 2026. https://alion.io/company/furiosa/technologies

Licence: CC BY-SA 4.0JSON