EngineAI tech stack
EngineAI builds mostly with C++, Python, Java, SQL. Its stack also includes ROS2, PyTorch, CUDA Toolkit, Linux. C++ is named in 9 of the 21 job postings EngineAI published in the last 12 months (43%). Counted by Alion from the job postings of EngineAI, updated Oct 18, 2026.
What programming languages does EngineAI use?
C++ is named in 43% of job postings at EngineAI, followed by Python (43%), Java (10%), SQL (5%).
What frameworks and libraries does EngineAI use?
ROS2 is named in 33% of job postings at EngineAI, followed by PyTorch (19%), CUDA (14%), MuJoCo (14%).
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What cloud and platforms does EngineAI use?
CUDA Toolkit is named in 14% of job postings at EngineAI, followed by Linux (10%), RabbitMQ (5%).
What developer tools does EngineAI use?
Docker is named in 14% of job postings at EngineAI, followed by ONNX (14%), TensorRT (14%), CMake (10%).
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What AI and ML technologies does EngineAI use?
VLM is named in 14% of job postings at EngineAI, followed by LLM (10%), Gaussian Splatting (5%), Whisper (5%).
Which engineering practices does EngineAI ask for?
NeRF is named in 10% of job postings at EngineAI, followed by PPO (10%), RLHF (10%), Sim-to-Real (10%).
What does each EngineAI team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
7 postingsRobotics
4 postingsDevOps
3 postingsHow does your stack fit EngineAI?
How is the EngineAI 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 EngineAI stack?
EngineAI scores 86 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.
Companies with a stack like EngineAI
Questions about the EngineAI tech stack
What programming languages does EngineAI use?
The languages named in EngineAI job postings are C++ (43%), Python (43%), Java (10%), SQL (5%), C# (5%), as a share of the 21 postings of the last 12 months.
Does EngineAI use ROS2?
Yes. ROS2 is named in 7 of 21 job postings (33%) and required in 7 of them.
What cloud and platforms does EngineAI use?
The cloud and platforms named in EngineAI job postings are CUDA Toolkit (3), Linux (2), RabbitMQ (1) (postings in brackets).
What skills do you need for a AI/ML job at EngineAI?
AI/ML postings at EngineAI most often require C++ (4), PyTorch (4), Python (4), ROS2 (3), out of 7 postings in the last 12 months.
Is the EngineAI tech stack changing?
Yes. CUDA, CUDA Toolkit, ONNX, TensorRT first appeared in EngineAI job postings in the last six months.
How modern is the EngineAI tech stack?
EngineAI scores 86 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 EngineAI tech stack?
Alion reads every job posting EngineAI publishes and tags the technologies each one names. The figures on this page count the 21 postings of the last 12 months and were updated on Oct 18, 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, "EngineAI tech stack: 59 technologies from 21 job postings", as of Oct 18, 2026. https://alion.io/company/engineai/technologies
