Terrestrial Energy tech stack
Terrestrial Energy builds mostly with Python, MATLAB, C++, Fortran. Its stack also includes Power BI. Python is named in 5 of the 8 job postings Terrestrial Energy published in the last 12 months (63%). Counted by Alion from the job postings of Terrestrial Energy, updated Nov 7, 2026.
What programming languages does Terrestrial Energy use?
Python is named in 63% of job postings at Terrestrial Energy, followed by MATLAB (38%), C++ (25%), Fortran (25%).
What cloud and platforms does Terrestrial Energy use?
Power BI is named in 25% of job postings at Terrestrial Energy.
Power BI
2 25%
What developer tools does Terrestrial Energy use?
IBM DOORS is named in 13% of job postings at Terrestrial Energy, followed by MCNP (13%), SysML (13%).
Which engineering practices does Terrestrial Energy ask for?
ASME NQA-1 is named in 25% of job postings at Terrestrial Energy, followed by NRC Licensing (25%), MBSE (13%), Verification & Validation (13%).
What does each Terrestrial Energy team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Industrial Engineering
3 postingsHow does your stack fit Terrestrial Energy?
How is the Terrestrial Energy 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 Terrestrial Energy stack?
Terrestrial Energy scores 60 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 0; legacy ones: 0.
How common is the Terrestrial Energy stack in its industry?
Share of the 560 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Terrestrial Energy
Questions about the Terrestrial Energy tech stack
What programming languages does Terrestrial Energy use?
The languages named in Terrestrial Energy job postings are Python (63%), MATLAB (38%), C++ (25%), Fortran (25%), as a share of the 8 postings of the last 12 months.
Does Terrestrial Energy use Power BI?
Yes. Power BI is named in 2 of 8 job postings (25%) and required in 2 of them.
What cloud and platforms does Terrestrial Energy use?
The cloud and platforms named in Terrestrial Energy job postings are Power BI (2) (postings in brackets).
What skills do you need for a Industrial Engineering job at Terrestrial Energy?
Industrial Engineering postings at Terrestrial Energy most often require MATLAB (2), Python (2), out of 3 postings in the last 12 months.
Is the Terrestrial Energy tech stack changing?
Yes. Power BI first appeared in Terrestrial Energy job postings in the last six months.
How modern is the Terrestrial Energy tech stack?
Terrestrial Energy scores 60 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 0; legacy ones: 0.
How does Alion know the Terrestrial Energy tech stack?
Alion reads every job posting Terrestrial Energy publishes and tags the technologies each one names. The figures on this page count the 8 postings of the last 12 months and were updated on Nov 7, 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, "Terrestrial Energy tech stack: 12 technologies from 8 job postings", as of Nov 7, 2026. https://alion.io/company/terrestrialenergy/technologies