Huawei Technologies tech stack

Huawei Technologies builds mostly with Python, C++, Java, TypeScript. Its stack also includes PyTorch, TensorFlow, vLLM, Linux. Python is named in 70 of the 110 job postings Huawei Technologies published in the last 12 months (64%). Counted by Alion from the job postings of Huawei Technologies, updated Sep 28, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 28, 2026
Technologies in use
195
Postings analysed
110
Open now
5
Modernity
78 /100
New in 6 months
8

What programming languages does Huawei Technologies use?

Python is named in 64% of job postings at Huawei Technologies, followed by C++ (42%), Java (11%), TypeScript (9%).

Python 70 64% required in 99% · since Jan 2025
C++ 46 42% required in 93% · since Dec 2022
Java 12 11% required in 100% · since Jan 2025
TypeScript 10 9% required in 100% · since Dec 2022
JavaScript 10 9% required in 50% · 1 open now · since Dec 2022
Rust 5 5% required in 100% · since Dec 2022
SQL 5 5% required in 40% · 1 open now · since Mar 2026
MATLAB 4 4% required in 100% · since Jun 2026
Show all (19)
Go3
Kotlin3
C#2
HLSL2
GLSL2
1C1
Embedded C1
Julia1
Node JS1
C1
PHP1

What frameworks and libraries does Huawei Technologies use?

PyTorch is named in 40% of job postings at Huawei Technologies, followed by TensorFlow (19%), PyTorch C++ (9%), Transformers (8%).

PyTorch 44 40% required in 100% · 1 open now · since Jan 2025
TensorFlow 21 19% required in 95% · 1 open now · since Jan 2025
PyTorch C++ 10 9% required in 100% · since Feb 2025
Transformers 9 8% required in 100% · since Jan 2025
DeepSpeed 7 6% required in 100% · since Jan 2025
JAX 7 6% required in 100% · since Jun 2025
TensorFlow C++ 7 6% required in 100% · since Feb 2025
CUDA 6 5% required in 100% · since Dec 2022
Show all (40)
SGLang6
ROS5
AutoGen4
CrewAI4
LangChain4
OpenGL4
LangGraph3
LlamaIndex3
Megatron-LM3
Ray3
Triton3
Accelerate2
FSDP2
LiteRT2
OpenCL2
OpenCV2
TFLite2
Apache TVM1
Diffusers1
ExecuTorch1
FAISS1
Flink1
MLIR1
ONNX Runtime1
Playwright1
React.js1
TensorRT-LLM1
Unity1
Unreal Engine1
XLA1
pgvector1
PoC Library1

What databases does Huawei Technologies use?

Milvus is named in 3% of job postings at Huawei Technologies, followed by Oracle (2%), DuckDB (1%), LanceDB (1%).

Milvus 3 3% required in 100% · since Jul 2025
Oracle 2 2% required in 100% · 1 open now · since Aug 2025
DuckDB 1 1% required in 100% · since Jun 2026
LanceDB 1 1% required in 100% · since Jun 2026
Pinecone 1 1% required in 100% · since Jul 2025
PostgreSQL 1 1% required in 100% · since Apr 2024
Snowflake 1 1% required in 100% · since Jul 2025
Weaviate 1 1% required in 100% · since Jun 2026

What cloud and platforms does Huawei Technologies use?

vLLM is named in 8% of job postings at Huawei Technologies, followed by Linux (7%), CUDA Toolkit (5%), Kubernetes (5%).

vLLM 9 8% required in 100% · since Dec 2022
Linux 8 7% required in 100% · since Dec 2022
CUDA Toolkit 6 5% required in 100% · since Dec 2022
Kubernetes 5 5% required in 100% · 1 open now · since Apr 2025
Hugging Face 4 4% required in 100% · since Jan 2025
GitHub 4 4% required in 75% · since Feb 2023
DLP 3 3% required in 100% · since Jan 2026
Spark 3 3% required in 100% · since Dec 2022
Show all (19)
VMWare3
Windows2
AWS1
Azure1
Databricks1
DirectX1
Figma1
Framer1
arXiv1
FigJam1
Windows Server1

What developer tools does Huawei Technologies use?

Git is named in 8% of job postings at Huawei Technologies, followed by Docker (5%), Model Context Protocol (5%), Adobe Photoshop (3%).

Git 9 8% required in 100% · since Dec 2022
Docker 6 5% required in 100% · 1 open now · since Sep 2025
Model Context Protocol 5 5% required in 100% · since Jan 2026
Adobe Photoshop 3 3% required in 100% · 1 open now · since Sep 2025
KVM 3 3% required in 100% · 1 open now · since Sep 2025
TensorRT 3 3% required in 100% · since May 2026
TPU 3 3% required in 67% · since Sep 2025
WebGPU 3 3% required in 67% · since Jul 2026
Show all (30)
Claude Code2
Hyper-V2
ONNX2
OpenAI Codex2
A2A1
Ansys HFSS1
AutoCAD1
Blender1
CARLA1
Canva1
LLVM1
LTspice1
Microsoft Excel1
OpenVINO1
ProtoPie1
QEMU1
RenderDoc1
Rest API1
Simulink1
WordPress1
Xen1
bandit1

What AI and ML technologies does Huawei Technologies use?

LLM is named in 33% of job postings at Huawei Technologies, followed by Llama (6%), Qwen (5%), VLM (4%).

LLM 36 33% required in 92% · 1 open now · since Dec 2022
Llama 7 6% required in 100% · since Dec 2022
Qwen 5 5% required in 80% · since Sep 2025
VLM 4 4% required in 100% · since Jul 2025
DeepSeek 3 3% required in 100% · since Dec 2022
LoRA 3 3% required in 100% · since Nov 2025
PEFT 3 3% optional · since Jan 2025
Gaussian Splatting 2 2% required in 100% · since Mar 2026
Show all (13)
Mamba2
Stable Diffusion2
GPTQ1
Gemma1
Claude1

Which engineering practices does Huawei Technologies ask for?

AI Agents is named in 41% of job postings at Huawei Technologies, followed by Machine Learning (37%), Computer Vision (33%), NLP (30%).

AI Agents 45 41% required in 80% · since Dec 2022
Machine Learning 41 37% required in 98% · since Dec 2022
Computer Vision 36 33% required in 47% · since Jan 2025
NLP 33 30% required in 27% · since Dec 2022
Multimodal AI 32 29% required in 84% · since Dec 2022
Reinforcement Learning 25 23% required in 80% · since Apr 2025
Multi-Agent Systems 22 20% required in 55% · since Jul 2025
Fine-tuning 15 14% required in 93% · 1 open now · since Jan 2025
Show all (65)
Agentic Workflows15
Tool Use13
Edge AI12
Embodied AI12
Diffusion Models11
Reinforcement Learning11
Function Calling11
Post-training10
Physical AI10
Mixture of Experts8
RAG8
SFT6
World Models6
GRPO5
GAN4
Imitation Learning4
Model Distillation4
PPO4
RLHF4
CNN3
HPC3
Knowledge Distillation3
Quantization3
Recommender Systems3
Synthetic Data3
Prompt Engineering3
Browser Agents2
GNN2
Hallucination2
KV Cache2
Reward Modeling2
Self-Supervised Learning2

And 25 more, each named in fewer postings.

What other technologies does Huawei Technologies use?

Avalanche is named in 1% of job postings at Huawei Technologies.

Avalanche 1 1% required in 100% · since Jul 2026

What does each Huawei Technologies team work with?

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

AI/ML

76 postings
Python55
PyTorch40
C++29
LLM28
TensorFlow17
Java10

Industrial Engineering

11 postings
C++6
Python6
Claude Code2
Git2
JavaScript2
MATLAB2

Backend

6 postings
Python5
C++4
LLM3
PyTorch2
Rust2
TypeScript2

Hardware

3 postings
C++2
Linux2
Python2

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How much does Huawei Technologies pay by technology?

Median stated pay of the postings that name each technology, against the median of all Huawei Technologies postings with stated pay: $106k across 68 postings.

TechnologyPostings with payMedianvs company median
Python44$106k0%
C++32$106k0%
PyTorch24$58k−45%
LLM19$106k0%
TensorFlow11$106k0%
Java10$82k−23%
TypeScript10$58k−45%
JavaScript8$82k−23%
PyTorch C++6$106k0%
JAX5$106k0%

How is the Huawei Technologies 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
LiteRTAug 2026
ONNXAug 2026
TFLiteAug 2026
Model DistillationAug 2026
Knowledge DistillationAug 2026
Hyper-VAug 2026
WindowsJul 2026
WebGPUJul 2026
Rising
Git2% → 15%
JavaScript5% → 17%
RAG2% → 11%
Docker0% → 9%
Model Distillation0% → 9%
GitHub0% → 9%
Adobe Photoshop0% → 6%
Knowledge Distillation0% → 6%
Falling
Multimodal AI49% → 15%
NLP35% → 17%
Multi-Agent Systems33% → 15%
Embodied AI21% → 6%
Reinforcement Learning19% → 4%
LLM37% → 23%
Computer Vision37% → 23%
Reinforcement Learning30% → 17%
Not named for 6 months
Megatron-LMJan 2026
GNNFeb 2026
AccelerateJan 2026
MambaJan 2026

How modern is the Huawei Technologies stack?

Cutting-edge AI adopter 78/100

Huawei Technologies scores 78 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: 13; legacy ones: 0.

How common is the Huawei Technologies stack in its industry?

Share of the 297 companies in the same industries, whose stack Alion knows, that use each technology.

Python56%
C++40%
PyTorch20%
LLM27%
TensorFlow16%
Java23%
JavaScript32%
PyTorch C++16%
TypeScript24%
Transformers8%

What sets Huawei Technologies apart

DeepSpeed3%
Llama4%
Qwen3%
ROS4%
OpenGL4%
VLM3%
DeepSeek3%
LoRA4%
Megatron-LM2%
Milvus4%

Huawei Technologies products in its job postings

Postings at Huawei Technologies name its own products. They describe what the company makes, so they are left out of the stack above.

HarmonyOS2

Questions about the Huawei Technologies tech stack

What programming languages does Huawei Technologies use?

The languages named in Huawei Technologies job postings are Python (64%), C++ (42%), Java (11%), TypeScript (9%), JavaScript (9%), as a share of the 110 postings of the last 12 months.

Does Huawei Technologies use PyTorch?

Yes. PyTorch is named in 44 of 110 job postings (40%) and required in 44 of them.

What cloud and platforms does Huawei Technologies use?

The cloud and platforms named in Huawei Technologies job postings are vLLM (9), Linux (8), CUDA Toolkit (6) (postings in brackets).

What skills do you need for a AI/ML job at Huawei Technologies?

AI/ML postings at Huawei Technologies most often require Python (55), PyTorch (40), C++ (29), LLM (28), out of 76 postings in the last 12 months.

Is the Huawei Technologies tech stack changing?

Yes. LiteRT, ONNX, TFLite, Model Distillation first appeared in Huawei Technologies job postings in the last six months.

How modern is the Huawei Technologies tech stack?

Huawei Technologies scores 78 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: 13; legacy ones: 0.

How does Alion know the Huawei Technologies tech stack?

Alion reads every job posting Huawei Technologies publishes and tags the technologies each one names. The figures on this page count the 110 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, "Huawei Technologies tech stack: 195 technologies from 110 job postings", as of Sep 28, 2026. https://alion.io/company/huawei/technologies

Licence: CC BY-SA 4.0JSON