Li Auto tech stack
Li Auto builds mostly with C++, Python, Java, Perl. Its stack also includes Linux, PyTorch, RTOS, MLIR. C++ is named in 40 of the 115 job postings Li Auto published in the last 12 months (35%). Counted by Alion from the job postings of Li Auto, updated Oct 16, 2026.
What programming languages does Li Auto use?
C++ is named in 35% of job postings at Li Auto, followed by Python (30%), Java (8%), Perl (6%).
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What frameworks and libraries does Li Auto use?
PyTorch is named in 11% of job postings at Li Auto, followed by MLIR (4%), ROS2 (3%), TensorFlow (3%).
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What databases does Li Auto use?
Redis is named in 3% of job postings at Li Auto, followed by PostgreSQL (2%), StarRocks (2%), ElasticSearch (1%).
What cloud and platforms does Li Auto use?
Linux is named in 16% of job postings at Li Auto, followed by RTOS (6%), Kubernetes (4%), Apache Kafka (3%).
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What developer tools does Li Auto use?
Claude Code is named in 3% of job postings at Li Auto, followed by LLVM (3%), Model Context Protocol (3%), TensorRT (3%).
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What AI and ML technologies does Li Auto use?
LLM is named in 15% of job postings at Li Auto, followed by VLM (5%), Claude (1%), Gemini (1%).
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Which engineering practices does Li Auto ask for?
AI Agents is named in 7% of job postings at Li Auto, followed by RAG (6%), Wi-Fi (5%), Function Calling (4%).
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What does each Li Auto team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
30 postingsBackend
18 postingsIndustrial Engineering
18 postingsDevOps
13 postingsRobotics
9 postingsHardware
7 postingsHow does your stack fit Li Auto?
How is the Li Auto 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.
How modern is the Li Auto stack?
Li Auto scores 81 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: 9; legacy ones: 0.
Companies with a stack like Li Auto
Questions about the Li Auto tech stack
What programming languages does Li Auto use?
The languages named in Li Auto job postings are C++ (35%), Python (30%), Java (8%), Perl (6%), Rust (6%), as a share of the 115 postings of the last 12 months.
Does Li Auto use PyTorch?
Yes. PyTorch is named in 13 of 115 job postings (11%) and required in 13 of them.
What cloud and platforms does Li Auto use?
The cloud and platforms named in Li Auto job postings are Linux (18), RTOS (7), Kubernetes (5) (postings in brackets).
What skills do you need for a AI/ML job at Li Auto?
AI/ML postings at Li Auto most often require C++ (12), PyTorch (11), Python (11), LLM (7), out of 30 postings in the last 12 months.
Is the Li Auto tech stack changing?
Yes. KV Cache, Transformers, Kotlin, Prompt Engineering first appeared in Li Auto job postings in the last six months.
How modern is the Li Auto tech stack?
Li Auto scores 81 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: 9; legacy ones: 0.
How does Alion know the Li Auto tech stack?
Alion reads every job posting Li Auto publishes and tags the technologies each one names. The figures on this page count the 115 postings of the last 12 months and were updated on Oct 16, 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, "Li Auto tech stack: 154 technologies from 115 job postings", as of Oct 16, 2026. https://alion.io/company/li-auto/technologies
