Slate Auto tech stack
Slate Auto builds mostly with Python, JavaScript, TypeScript, C++. Its stack also includes AWS, Azure, React.js, JAX. AWS is named in 9 of the 42 job postings Slate Auto published in the last 12 months (21%). Counted by Alion from the job postings of Slate Auto, updated Sep 26, 2026.
What programming languages does Slate Auto use?
Python is named in 17% of job postings at Slate Auto, followed by JavaScript (17%), TypeScript (10%), C++ (5%).
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What frameworks and libraries does Slate Auto use?
React.js is named in 12% of job postings at Slate Auto, followed by JAX (10%), PyTorch (10%), Scikit-learn (10%).
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What databases does Slate Auto use?
PostgreSQL is named in 2% of job postings at Slate Auto, followed by Snowflake (2%).
What cloud and platforms does Slate Auto use?
AWS is named in 21% of job postings at Slate Auto, followed by Azure (21%), GCP (14%), Anthropic (12%).
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What developer tools does Slate Auto use?
Microsoft Excel is named in 19% of job postings at Slate Auto, followed by AutoCAD (14%), SolidWorks (10%), OPC UA (5%).
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What AI and ML technologies does Slate Auto use?
Gemini is named in 12% of job postings at Slate Auto, followed by LLM (12%), Claude (2%).
Which engineering practices does Slate Auto ask for?
Machine Learning is named in 14% of job postings at Slate Auto, followed by Computer Vision (12%), Fine-tuning (12%), Physical AI (12%).
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What does each Slate Auto team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Industrial Engineering
13 postingsAI/ML
5 postingsHow does your stack fit Slate Auto?
How is the Slate 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 Slate Auto stack?
Slate Auto scores 84 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: 3; legacy ones: 0.
Companies with a stack like Slate Auto
Questions about the Slate Auto tech stack
What programming languages does Slate Auto use?
The languages named in Slate Auto job postings are Python (17%), JavaScript (17%), TypeScript (10%), C++ (5%), ABAP (2%), as a share of the 42 postings of the last 12 months.
Does Slate Auto use React.js?
Yes. React.js is named in 5 of 42 job postings (12%) and required in 3 of them.
What cloud and platforms does Slate Auto use?
The cloud and platforms named in Slate Auto job postings are AWS (9), Azure (9), GCP (6) (postings in brackets).
What skills do you need for a Industrial Engineering job at Slate Auto?
Industrial Engineering postings at Slate Auto most often require AutoCAD (2), OPC UA (2), out of 13 postings in the last 12 months.
Is the Slate Auto tech stack changing?
Yes. Agentic Workflows, Embeddings, Hugging Face, JAX first appeared in Slate Auto job postings in the last six months.
How modern is the Slate Auto tech stack?
Slate Auto scores 84 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: 3; legacy ones: 0.
How does Alion know the Slate Auto tech stack?
Alion reads every job posting Slate Auto publishes and tags the technologies each one names. The figures on this page count the 42 postings of the last 12 months and were updated on Sep 26, 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, "Slate Auto tech stack: 105 technologies from 42 job postings", as of Sep 26, 2026. https://alion.io/company/slate-auto/technologies
