黑芝麻智能 tech stack

黑芝麻智能 builds mostly with C++, Python. Its stack also includes PyTorch, TensorFlow. C++ is named in 3 of the 4 job postings 黑芝麻智能 published in the last 12 months (75%). Counted by Alion from the job postings of 黑芝麻智能, updated Nov 2, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Nov 2, 2026
Technologies in use
13
Postings analysed
4
Open now
4
Modernity
85 /100

What programming languages does 黑芝麻智能 use?

C++ is named in 75% of job postings at 黑芝麻智能, followed by Python (50%).

C++ 3 75% required in 100% · 3 open now · since Oct 2026
Python 2 50% required in 100% · 2 open now · since Oct 2026

What frameworks and libraries does 黑芝麻智能 use?

PyTorch is named in 50% of job postings at 黑芝麻智能, followed by TensorFlow (50%), TensorFlow C++ (50%), Transformers (50%).

PyTorch 2 50% required in 100% · 2 open now · since Oct 2026
TensorFlow 2 50% required in 100% · 2 open now · since Oct 2026
TensorFlow C++ 2 50% required in 100% · 2 open now · since Oct 2026
Transformers 2 50% required in 100% · 2 open now · since Oct 2026

What developer tools does 黑芝麻智能 use?

ONNX is named in 50% of job postings at 黑芝麻智能.

ONNX 2 50% required in 100% · 2 open now · since Oct 2026

What AI and ML technologies does 黑芝麻智能 use?

AWQ is named in 50% of job postings at 黑芝麻智能, followed by GPTQ (50%), LLM (50%), VLM (25%).

AWQ 2 50% required in 100% · 2 open now · since Oct 2026
GPTQ 2 50% required in 100% · 2 open now · since Oct 2026
LLM 2 50% required in 100% · 2 open now · since Oct 2026
VLM 1 25% required in 100% · 1 open now · since Sep 2026

Which engineering practices does 黑芝麻智能 ask for?

KV Cache is named in 50% of job postings at 黑芝麻智能, followed by Speculative Decoding (50%).

KV Cache 2 50% required in 100% · 2 open now · since Oct 2026
Speculative Decoding 2 50% required in 100% · 2 open now · since Oct 2026

What does each 黑芝麻智能 team work with?

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

AI/ML

3 postings
C++3
AWQ2
GPTQ2
LLM2
ONNX2
PyTorch2

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How modern is the 黑芝麻智能 stack?

Cutting-edge AI adopter 85/100

黑芝麻智能 scores 85 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: 4; legacy ones: 0.

Questions about the 黑芝麻智能 tech stack

What programming languages does 黑芝麻智能 use?

The languages named in 黑芝麻智能 job postings are C++ (75%), Python (50%), as a share of the 4 postings of the last 12 months.

Does 黑芝麻智能 use PyTorch?

Yes. PyTorch is named in 2 of 4 job postings (50%) and required in 2 of them.

What skills do you need for a AI/ML job at 黑芝麻智能?

AI/ML postings at 黑芝麻智能 most often require C++ (3), AWQ (2), GPTQ (2), LLM (2), out of 3 postings in the last 12 months.

Is the 黑芝麻智能 tech stack changing?

No new technology has appeared in 黑芝麻智能 job postings in the last six months.

How modern is the 黑芝麻智能 tech stack?

黑芝麻智能 scores 85 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: 4; legacy ones: 0.

How does Alion know the 黑芝麻智能 tech stack?

Alion reads every job posting 黑芝麻智能 publishes and tags the technologies each one names. The figures on this page count the 4 postings of the last 12 months and were updated on Nov 2, 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, "黑芝麻智能 tech stack: 13 technologies from 4 job postings", as of Nov 2, 2026. https://alion.io/company/Heizhiasazhineng/technologies

Licence: CC BY-SA 4.0JSON