Simulation Product Engineer hos GREEN14 i Stockholm
Bygger interaktiv programvara för simulering, visualisering och industriell processanalys. Du har erfarenhet av React, TypeScript eller motsvarande modern stack samt interaktiva och datatunga applikationer.
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 Product Engineer
Turn complex physics and AI into products engineers actually use. Bridge simulation, software and industrial processes to change how engineers understand and optimize production.
At GREEN14, we are building a new generation of simulation technology for complex industrial processes.
Our team combines multiphysics models, machine learning and experimental process data to understand systems such as plasma reactors and high-temperature metallurgical processes.
We can build sophisticated models and fast surrogates. But for that technology to matter outside a research environment, a process engineer needs to be able to use it.
That is where you come in.
GREEN14 started five years ago with a mission to help Europe 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, and make that capability accessible to the engineer actually running the process.
Imagine an engineer trying to understand why yield has changed, how temperature is distributed inside a reactor, what happens if gas flow increases, or which operating parameters could produce a desired output.
They should not need to understand our solver architecture or write Python. They should be able to explore the process.
That is the product we want you to help us build.
Your role
You will sit between simulation, software, product and industrial process engineering.
You will own much of how engineers interact with our technology: how they change process parameters, run scenarios, inspect simulation results, compare operating conditions and use models to make better decisions.
That requires more than frontend engineering.
You need to understand what the simulation represents, what matters to the engineer using it and how complex physical behaviour can be presented in an intuitive way.
You will work directly with our simulation and AI researchers, process engineers and industrial partners. Your job is to connect those worlds.
What you will do
Build interactive software for simulation, visualization and industrial process analysis.
Turn complex simulation outputs into intuitive visualizations.
Build interfaces for manipulating parameters, running scenarios and comparing results.
Define workflows from process problem and inputs to simulation, exploration and decision-making.
Connect applications to simulation and ML backends through APIs.
Build reusable components and application architecture for different simulation products.
Work with our simulation team to understand the underlying physics and how it should be exposed to users.
Help turn internal research tools into software industrial engineers want to use.
Who you are
You are a strong software engineer who cares about both technical quality and whether the software actually solves a problem.
We are particularly interested in experience with:
React, TypeScript or a comparable modern stack.
Interactive and data-heavy applications.
Scientific, engineering or time-series visualization.
AP
Is and computational backends.
Application architecture and production software development.
Experience with Python, FastAPI, WebGL, Three.js, scientific visualization, Docker or cloud infrastructure is useful. Experience building software for engineering, scientific or industrial users is particularly valuable.
But technology is only part of the role.
The kind of person we are looking for
You do not need to be a plasma physicist, but you do need to want to understand the process.
If an engineer tells you that pressure drop suddenly increases after twenty minutes, your first instinct should not only be to ask how we visualize the data. You should want to understand why.
What changed? What does the model say? Which variables matter?
What can the operator control?
You enjoy talking to scientists and process engineers and asking questions until you understand the real problem.
Then you ask:
How do we turn everything we know into something this engineer can actually use?
That is the mindset we are looking for.
Avsnitt som inte handlar om jobbet är utelämnade. Rubriker i versaler visas med gemener. Hela annonsen finns hos Arbetsförmedlingen.
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