Emerald AI tech stack

Emerald AI builds mostly with Python, C++, Rust, SQL. Its stack also includes Kubernetes, AWS, InfluxDB, TimescaleDB. Kubernetes is named in 6 of the 6 job postings Emerald AI published in the last 12 months (100%). Counted by Alion from the job postings of Emerald AI, updated Sep 26, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 26, 2026
Technologies in use
30
Postings analysed
6
Open now
6
Modernity
67 /100
New in 6 months
2

What programming languages does Emerald AI use?

Python is named in 67% of job postings at Emerald AI, followed by C++ (50%), Rust (50%), SQL (17%).

Python 4 67% required in 100% · 4 open now · since Dec 2025
C++ 3 50% required in 100% · 3 open now · since Dec 2025
Rust 3 50% required in 100% · 3 open now · since Dec 2025
SQL 1 17% required in 100% · 1 open now · since Jul 2026

What frameworks and libraries does Emerald AI use?

NCCL is named in 17% of job postings at Emerald AI.

NCCL 1 17% required in 100% · 1 open now · since Aug 2026

What databases does Emerald AI use?

InfluxDB is named in 17% of job postings at Emerald AI, followed by TimescaleDB (17%), PostgreSQL (17%).

InfluxDB 1 17% required in 100% · 1 open now · since Dec 2025
TimescaleDB 1 17% required in 100% · 1 open now · since Dec 2025
PostgreSQL 1 17% optional · 1 open now · since Dec 2025

What cloud and platforms does Emerald AI use?

Kubernetes is named in 100% of job postings at Emerald AI, followed by AWS (17%), Amazon S3 (17%), Apache Kafka (17%).

Kubernetes 6 100% required in 100% · 6 open now · since Dec 2025
AWS 1 17% required in 100% · 1 open now · since Jul 2026
Amazon S3 1 17% required in 100% · 1 open now · since Aug 2026
Apache Kafka 1 17% required in 100% · 1 open now · since Dec 2025
Azure 1 17% required in 100% · 1 open now · since Jul 2026
GCP 1 17% required in 100% · 1 open now · since Jul 2026
Linux 1 17% required in 100% · 1 open now · since Aug 2026
RabbitMQ 1 17% required in 100% · 1 open now · since Dec 2025

What developer tools does Emerald AI use?

SLURM is named in 67% of job postings at Emerald AI, followed by Ansible (17%), Docker (17%), InfiniBand (17%).

SLURM 4 67% required in 100% · 4 open now · since Jul 2026
Ansible 1 17% required in 100% · 1 open now · since Aug 2026
Docker 1 17% required in 100% · 1 open now · since Jul 2026
InfiniBand 1 17% required in 100% · 1 open now · since Aug 2026
MinIO 1 17% required in 100% · 1 open now · since Aug 2026
OPC UA 1 17% required in 100% · 1 open now · since Dec 2025
Prometheus 1 17% required in 100% · 1 open now · since Dec 2025
Terraform 1 17% required in 100% · 1 open now · since Aug 2026

Which engineering practices does Emerald AI ask for?

HPC is named in 50% of job postings at Emerald AI, followed by Machine Learning (50%), Time Series Forecasting (33%), CI/CD (17%).

HPC 3 50% required in 100% · 3 open now · since Dec 2025
Machine Learning 3 50% required in 100% · 3 open now · since Jul 2026
Time Series Forecasting 2 33% required in 100% · 2 open now · since Dec 2025
CI/CD 1 17% required in 100% · 1 open now · since Jul 2026
FinOps 1 17% required in 100% · 1 open now · since Aug 2026
Platform Engineering 1 17% required in 100% · 1 open now · since Aug 2026

What does each Emerald AI team work with?

The technologies each team's postings require most often, with the number of postings that require them.

AI/ML

4 postings
Kubernetes4
Python4
C++3
Rust3
SLURM2

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How is the Emerald 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.

First appeared
SLURMJul 2026
Machine LearningJul 2026

How modern is the Emerald AI stack?

Modern 67/100

Emerald AI scores 67 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 Emerald AI stack in its industry?

Share of the 59 companies in the same industries, whose stack Alion knows, that use each technology.

Kubernetes37%
Python69%
C++27%
Rust10%
AWS51%
Amazon S317%
Apache Kafka19%
Azure34%
GCP37%
InfluxDB2%

Questions about the Emerald AI tech stack

What programming languages does Emerald AI use?

The languages named in Emerald AI job postings are Python (67%), C++ (50%), Rust (50%), SQL (17%), as a share of the 6 postings of the last 12 months.

Does Emerald AI use Kubernetes?

Yes. Kubernetes is named in 6 of 6 job postings (100%) and required in 6 of them.

What cloud and platforms does Emerald AI use?

The cloud and platforms named in Emerald AI job postings are Kubernetes (6), AWS (1), Amazon S3 (1) (postings in brackets).

What skills do you need for a AI/ML job at Emerald AI?

AI/ML postings at Emerald AI most often require Kubernetes (4), Python (4), C++ (3), Rust (3), out of 4 postings in the last 12 months.

Is the Emerald AI tech stack changing?

Yes. SLURM, Machine Learning first appeared in Emerald AI job postings in the last six months.

How modern is the Emerald AI tech stack?

Emerald AI scores 67 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 Emerald AI tech stack?

Alion reads every job posting Emerald AI publishes and tags the technologies each one names. The figures on this page count the 6 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, "Emerald AI tech stack: 30 technologies from 6 job postings", as of Sep 26, 2026. https://alion.io/company/emeraldai/technologies

Licence: CC BY-SA 4.0JSON