Careers / Build with SOLISTIQ
Build AI.
See its impact.
Work with the founders on Q‑Foundry, our own AI model for inventory planning.
Working at SOLISTIQ
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From experiment to production
From the first idea to use at our customers.
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Work openly, together
Share early, discuss openly, give direct feedback.
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Würzburg, hybrid
Office in the city centre, at least two days a week on site.
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Directly with the founders
You help decide and take ownership.
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Permanent and full-time
All open roles are permanent, full-time positions.
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Our own model
Machine learning, optimization and software in one product.
Open roles
Where you can contribute.
Three technical perspectives on the same task: enabling better inventory decisions. Open a role to explore its responsibilities and requirements.
Full-time · Würzburg · hybrid Machine Learning Engineer Demand Forecasting · f/m/d
Develop the next generation of Q‑Foundry, from architecture and pretraining to deployment with our customers.
Stack: Python · PyTorch · Polars · PostgreSQL · MLflow · Slurm · Docker · Kubernetes · FastAPI
What you will work on
- Develop data pipelines and infrastructure for pretraining and inference.
- Improve transformer architecture, training methods and data mixtures, and evaluate them through experiments.
- Analyze forecast errors and develop model adaptation, calibration and post-processing.
What you bring
- Fluency in Python, PyTorch and SQL, with experience taking ML models from prototype to production.
- Experience with large datasets, multiple GPUs and distributed training.
- An MSc or PhD in a quantitative field and roughly three years in ML or data science, or equivalent experience.
- Working together
- We work in German and English; either is enough.
- Your application
- Send Magnus your CV and a link to something you have built: a repository, project, paper or thesis.
Full-time · Würzburg · hybrid Forward Deployed Engineer Customer projects & product engineering · f/m/d
Bring our AI inventory planner into customers’ daily operations, from the first data export to live planning. Turn what you learn into reusable software.
Stack: Python · SQL · Polars · PostgreSQL · FastAPI · LangGraph
What you will work on
- Connect, validate and prepare customer data; develop reusable connectors and onboarding tools.
- Understand ordering rules and business processes and bring them into planning proposals.
- Support backtests and pilots, discuss results with customers and turn feedback into product improvements.
What you bring
- Fluency in Python and SQL, with experience building tested software that business users depend on.
- Experience with data from ERP or other operational systems and automating manual processes.
- At least three years of hands-on software, data or solution engineering, or comparable technical work.
- Working together
- We work in German and English internally, and in German with customers. The role includes customer travel.
- Your application
- Send Magnus your CV and a few sentences about a technical project you delivered: what you built, your contribution and the outcome. Links are welcome but optional.
Full-time · Würzburg · hybrid Optimization Engineer Inventory & Supply Chain · f/m/d
Develop the decision layer behind our order proposals. Bring demand uncertainty, costs and ordering constraints into reliable optimization models.
Stack: Python · Gurobi · OR-Tools · Polars · PostgreSQL
What you will work on
- Build solver-based decision methods on our existing cost and constraint model.
- Formulate customer requirements as reusable models and translate forecast uncertainty into decisions.
- Evaluate new methods in historical simulations and support their deployment with customers.
What you bring
- Experience building optimization models people rely on, solid LP/MILP knowledge and depth in an area such as stochastic optimization or heuristics.
- Practical experience with solvers such as Gurobi, CPLEX, HiGHS or OR-Tools, and production-quality Python.
- An MSc or PhD in a quantitative field and roughly three years building optimization models, or equivalent experience.
- Working together
- We work in German and English; either is enough.
- Your application
- Send Magnus your CV and a link to a repository, project, paper or your thesis. If you match most of this but not all, write anyway.
Your contact
A question about the role?
Magnus is your contact for applications and joining the team. Tell him about your background and what you would like to know.
Write to us