Simulation Platform & ML Engineer hos GREEN14 i Stockholm
Bygger mjukvara och beräkningsinfrastruktur som kopplar samman fysik, AI och experimentell data. Du har erfarenhet av att ta tekniskt komplex mjukvara från prototyp till användbar produkt.
Titel, arbetsplatsens namn och sammanfattning skrivna av AI utifrån annonsen.
Bra att veta
Lön
Inom yrkesgruppen Mjukvaru- och systemutvecklare m.fl. har de som jobbar i privat sektor i Stockholm i snitt 59 700 kr i månaden, varav 58 800 kr i grundlön. I hela landet, i privat sektor, tjänar hälften mellan 46 500 kr och 63 000 kr, och de som är 18–24 år har i snitt 36 100 kr. Det är statistik för yrket, inte vad den här arbetsgivaren betalar.
Källa: SCB, lönestrukturstatistik 2025
Anställningen
Anställningen har inget slutdatum. Den kan börja med en provanställning på högst sex månader. Vill arbetsgivaren avsluta den under provtiden ska du få besked minst två veckor i förväg; annars blir den en vanlig tillsvidareanställning när provtiden är slut. Därefter krävs sakliga skäl för att säga upp dig, och uppsägningstiden är minst en månad, längre ju längre du har varit anställd.
Ett kollektivavtal kan ge andra regler än lagen.
Texten är skriven med AI och kan innehålla fel. Kontrollera med arbetsgivaren.
Källa: Lagen om anställningsskydd (LAS)
Arbetsgivaren
GREEN14 har annonserat 4 jobb det senaste året: 3 tillsvidareanställningar och 1 tidsbegränsad anställning. Inom yrkesgruppen Mjukvaru- och systemutvecklare m.fl. har de annonserat 2 gånger de senaste två åren, den här annonsen inräknad.
Källa: vår sammanställning av Arbetsförmedlingens annonser
Simulation Platform & ML Engineer
Turn cutting-edge simulation and ML research into software that engineers can actually use.
At GREEN14, we are building simulation technology for complex industrial processes. Our team combines multiphysics models, machine learning and experimental data to understand systems such as plasma reactors and high-temperature metallurgical processes.
We can build sophisticated models and fast surrogates. Now we want to turn that capability into robust software that can be used beyond our own research environment.
GREEN14 started five years ago with a mission to develop emission-free production of critical raw materials using hydrogen plasma.
Today, we operate a full-scale plasma reactor in Stockholm. Alongside it, we have built capabilities in multiphysics simulation, AI and surrogate modelling.
Our ambition is to connect experiments, physics, simulation, surrogate models and optimization into a continuous learning process.
But a great model sitting in a research notebook is not a product. Models need data and pipelines. Experiments need to be reproducible. Software needs APIs. Models need to be tested and versioned. Computation needs to be fast and reliable.
That is where you come in.
Your role
You will build the software and computational infrastructure connecting our physics, AI and experimental data.
You will work directly with scientists and engineers developing our models and turn research code into software other engineers can reliably use.
A typical problem might start with JAX code developed by a researcher.
Your job is to ask:
How do we make this reliable, testable, reproducible, fast and usable by someone who did not write it?
You will have substantial ownership over the technical foundations of our simulation platform.
What you will do
Build backend architectures connecting sensor data, physics models, ML models and simulation workflows.
Turn JAX-based research code into maintainable, production-ready software.
Build pipelines connecting experimental data, simulation, surrogates and optimization.
Develop infrastructure for model training, evaluation and reproducibility.
Build APIs, packages and repositories for long-term production use.
Establish testing, CI/CD, versioning and monitoring for scientific software.
Identify computational bottlenecks and improve performance.
Contribute to deployment and cloud infrastructure as our products mature.
Who you are
You have experience taking technically complex software from prototype to something other people can reliably use.
You might come from software engineering, ML engineering, scientific computing or data engineering.
We are particularly interested in experience with:
Python and modern software engineering.
JAX or other numerical and ML frameworks.
Backend architectures and APIs.
Data pipelines and databases.
ML infrastructure and MLOps.
Testing, CI/CD and reproducible workflows.
Computationally intensive workloads.
Experience with Docker, cloud infrastructure, Kubernetes, GPU computing, FastAPI or ML tooling is useful. Experience with JAX, scientific computing or simulation software is particularly relevant.
We do not expect you to tick every box.
The kind of person we are looking for
You do not need to be a plasma physicist.
What matters is that you enjoy working at the boundary between scientific computing, machine learning and real-world software engineering.
You like understanding what researchers are trying to achieve, but your instinct is to turn clever prototypes into systems other people can depend on.
You care about architecture, performance and maintainability, but you also write code.
You should also be curious about the physical world behind the software. Our code represents real plasma, particles, materials and experiments.
Avsnitt som inte handlar om jobbet är utelämnade. Rubriker i versaler visas med gemener. Hela annonsen finns hos Arbetsförmedlingen.
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