Spirit AI tech stack
Spirit AI builds mostly with Python, C++, SQL, Go. Its stack also includes PyTorch, Linux, ROS2, Kubernetes. Python is named in 11 of the 27 job postings Spirit AI published in the last 12 months (41%). Counted by Alion from the job postings of Spirit AI, updated Oct 24, 2026.
What programming languages does Spirit AI use?
Python is named in 41% of job postings at Spirit AI, followed by C++ (15%), SQL (11%), Go (7%).
What frameworks and libraries does Spirit AI use?
PyTorch is named in 22% of job postings at Spirit AI, followed by ROS2 (11%), TensorFlow (11%), FAST-LIO (7%).
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What databases does Spirit AI use?
MySQL is named in 7% of job postings at Spirit AI, followed by PostgreSQL (7%).
What cloud and platforms does Spirit AI use?
Linux is named in 15% of job postings at Spirit AI, followed by Kubernetes (7%), vLLM (7%), Grafana (4%).
What developer tools does Spirit AI use?
Docker is named in 11% of job postings at Spirit AI, followed by EtherCAT (7%), Isaac Gym (7%), Isaac Sim (7%).
What AI and ML technologies does Spirit AI use?
VLM is named in 30% of job postings at Spirit AI, followed by LLM (7%), Claude (4%).
Which engineering practices does Spirit AI ask for?
Vision-Language-Action is named in 15% of job postings at Spirit AI, followed by CI/CD (4%), KV Cache (4%), NLP (4%).
What does each Spirit AI team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
11 postingsRobotics
5 postingsEarly Careers
3 postingsIndustrial Engineering
3 postingsDevOps
3 postingsHow does your stack fit Spirit AI?
How is the Spirit AI 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 Spirit AI stack?
Spirit AI scores 88 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 Spirit AI
Questions about the Spirit AI tech stack
What programming languages does Spirit AI use?
The languages named in Spirit AI job postings are Python (41%), C++ (15%), SQL (11%), Go (7%), MATLAB (4%), as a share of the 27 postings of the last 12 months.
Does Spirit AI use PyTorch?
Yes. PyTorch is named in 6 of 27 job postings (22%) and required in 4 of them.
What cloud and platforms does Spirit AI use?
The cloud and platforms named in Spirit AI job postings are Linux (4), Kubernetes (2), vLLM (2) (postings in brackets).
What skills do you need for a AI/ML job at Spirit AI?
AI/ML postings at Spirit AI most often require Python (5), TensorFlow (3), VLM (3), C++ (2), out of 11 postings in the last 12 months.
Is the Spirit AI tech stack changing?
Yes. Vision-Language-Action, TensorFlow, Isaac Gym, Isaac Sim first appeared in Spirit AI job postings in the last six months.
How modern is the Spirit AI tech stack?
Spirit AI scores 88 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 Spirit AI tech stack?
Alion reads every job posting Spirit AI publishes and tags the technologies each one names. The figures on this page count the 27 postings of the last 12 months and were updated on Oct 24, 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, "Spirit AI tech stack: 50 technologies from 27 job postings", as of Oct 24, 2026. https://alion.io/company/spirit-ai/technologies
