Simulation Platform Engineer — ML & Production Software

GREEN 14 AB; Stockholms kommun; On-site; SEK 650,000 - 950,000; Full time

Benefits offered by this job

Employee stock options

Job summary

GREEN14 AB is seeking an engineer to transform cutting-edge simulation and ML research into robust software. You will connect physics, AI and experimental data, turning research code into reliable, production-ready systems.

You’ll build backend architectures, implement data pipelines, and develop infrastructure for training, evaluation and reproducibility, while collaborating with scientists and engineers to deploy scalable solutions.

Qualifications

• Experience turning prototype code into production-ready software.
• Background in scientific computing, ML engineering or data engineering is a plus.
• Strong emphasis on testable, reproducible workflows and scalable architectures.
• Familiarity with modern software engineering practices and cloud infrastructure.

Responsibilities

• Build backend architectures connecting data, physics models, ML models and simulations.
• Turn research code into maintainable, production-ready software.
• Develop infrastructure for model training, evaluation and reproducibility.
• Create APIs, packages and repositories for long-term production use.
• Establish testing, CI/CD, versioning and monitoring for scientific software.
• Identify bottlenecks and improve performance.
• Contribute to deployment and cloud infrastructure as products mature.

Skills

Python

JAX

APIs

Data pipelines

ML infrastructure

CI/CD

Docker

Kubernetes

GPU computing

FastAPI

Tools

Docker

Kubernetes

GPU computing

FastAPI

Job description

GREEN14 AB is seeking an engineer to transform cutting-edge simulation and ML research into robust software. You will connect physics, AI and experimental data, turning research code into reliable, production-ready systems.

You’ll build backend architectures, implement data pipelines, and develop infrastructure for training, evaluation and reproducibility, while collaborating with scientists and engineers to deploy scalable solutions.