Job
- Level
- Experienced
- Job Field
- Software, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 60.000 to 75.000€ gross/year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you integrate simulations of building behavior, transforming prototypes into production-ready services while collaborating closely with product teams and implementing technical specifications.
Job Technologies
Your role in the team
- 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. No finished spec lands in your inbox. 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.
- Operate our engines and improve them - accurate, fast, observable. When results seem incorrect, you can determine 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.
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Our expectations of you
Qualifications
- 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.
- Geometry in code (computational geometry, meshes, CAD or BIM/IFC).
- Simulation and numerical methods (thermal/energy simulation, FEM/CFD, solvers).
- Productionizing research or prototype code (ML pipelines, scientific computing, quant models).
- Building-industry or energy-domain exposure.
Experience
- Several years of professional software engineering across the stack, with a focus on the backend.
- Real experience with AI and agentic workflows.
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What we offer
- 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.
- Compensation: €60,000 - €75,000 gross/year, depending on your experience.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Optimuse GmbH
Optimuse GmbH is an innovative deep-tech startup based in Vienna that is reshaping the planning and decarbonization of real estate using AI-powered software. Their platform generates digital building models, simulates various options, and provides recommendations for sustainable and economical solutions in heating, cooling, ventilation, and building technology. The team comprises about 20-25 professionals from construction, building physics, and AI, and is supported by international investors such as seed + ventures.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Construction, Real Estate, Building Services