Our Product Engineers are domain experts first, developers second. They build
Engines
- the simulations and models that capture how buildings actually behave - fast, and increasingly with AI. But these prototypes live on GitHub and only run on laptops: untested against the platform, unavailable to customers.
That's the gap you close. You're the key counterpart to our Product Engineers: you understand what an Engine computes, how, and why - well enough to decide where each piece belongs, hand off what belongs to other teams, and build the rest yourself. You read other people's code, ask the right questions, and turn a working prototype into a service we can run and trust. We work in a strongly agentic way - so will you.
Your mission
Run our Engines and make them better
- correct, fast, observable. When results look wrong, you can tell whether it's the data, the integration, or the physics.
Onboard new prototypes
- understand the method and edge cases; judge what's production-ready and what needs a rewrite.
Find the right home for each function
- decompose monoliths and define the interfaces and data contracts that make those boundaries real.
Integrate
- with Planning and our Systems Architects, translating between domain and platform language, then build what remains yourself.
Make the next Engine easier than the last
- shape the conventions that let prototypes arrive closer to integration-ready.
You won't do this alone:
DevOps, App/Experience, AI, and Data & Flows already own their domains.
Your profile
Several years of professional
software engineering
across the stack, centre of gravity in the
backend .
Python and TypeScript
- strong in one, comfortable in the other, attached to neither.
The ability to
read and judge code you didn't write , including scientific and numerical code.
A low-ego, collaborative style with domain experts, and the skill to explain trade-offs to people who think in physics, not architecture.
Professional English . German is a plus, not a requirement.
Nice-to-have
Geometry in code
(computational geometry, meshes, CAD or BIM/IFC).
Simulation and numerical methods
(thermal/energy simulation, FEM/CFD, solvers).
Real experience with AI
and agentic workflows.
Productionizing research or prototype code (ML pipelines, scientific computing, quant models).
Building-industry
or energy-domain exposure.
Why us?
Real impact.
The Engines you integrate don't sit in a demo - they feed real investment decisions and move the platform forward in tangible ways.
The full solution chain.
From digital twin to performance monitoring - you work across a complete product portfolio, not isolated one-off projects.
Every Engine you bring in has a real place in the whole.
Flexible working models. Home-office option and a modern office in the heart of Vienna.
And the day-to-day works too. Daily meal allowance (€5/day), regular team events, free snacks.
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Software Engineer – Engine Integration in Wien Arbeitgeber: OPTIMUSE
Als Arbeitgeber bieten wir Ihnen die Möglichkeit, in einem dynamischen und innovativen Umfeld zu arbeiten, das auf Teamarbeit und Kreativität setzt. Unsere Unternehmenskultur fördert persönliches Wachstum und berufliche Entwicklung, während wir gleichzeitig attraktive Vergütungen und Benefits anbieten. In dieser Rolle als Team Lead Solutions Engineering haben Sie die Chance, bedeutende Projekte zu leiten und Ihre Ideen in die Tat umzusetzen, was Ihre Karriere auf das nächste Level heben kann.
