As our Performance Engineer you will build and own CargoKite’s Performance Prediction Program (PPP) — the model that integrates aerodynamic, hydrodynamic, propulsion, and operational data to predict our vessel's fuel consumption in various conditions. As such, the PPP supports engineering studies, guides design decisions, and provides credible performance projections for internal and external stakeholders.
You will structure and integrate input data from multiple engineering domains, define appropriate model fidelity, and ensure consistent and traceable performance outputs across the company. This includes adapting and extending an existing PPP tool, implementing CargoKite-specific sub-models, and managing the release of ship performance polars.
You will work closely with the performance team, the kite control engineer, and domain experts across the organization to ensure the model reflects real system behavior. You will also design and oversee validation campaigns — numerical and physical — using model tests, sea trials, and external data to continuously improve the model’s reliability.
Ultimately, your work ensures that CargoKite makes sound engineering decisions based on consistent and technically credible performance predictions.
This role is intended for engineers with direct experience in sailing vessel or wind-assisted ship performance modelling.
You are an engineer with solid experience in VPP/PPP development. You understand how performance models are structured, what data they require, and how to integrate aero, hydro, and propulsion effects into a coherent system-level prediction.
You are comfortable working across disciplines and translating physical understanding into practical models. You can adapt or implement sub-models where data is missing and define the level of fidelity required for reliable engineering decisions.
You combine technical depth with structured thinking and are able to bring clarity and consistency to complex data sets and models.
German language skills
Note: This is not a pure CFD role. While CFD results may be used as inputs, the position requires hands-on experience with vessel performance prediction (VPP/PPP) and previous exposure to state of the art modeling approaches for sails and/ or WPS systems.
At CargoKite we work on the frontier of maritime autonomy and wind propulsion for commercial shipping. You will take a central role in a growing clean‑tech startup developing technology that helps reduce emissions in global shipping and shape the next era of container shipping.
Within this context, we offer:
We are CargoKite, a Munich-based early-stage startup developing a new, wind-powered ship class for oversea transportation of freight. We are a spin-off from the Technical University of Munich and aim to decarbonize global shipping. With our high-tech sailing ship we help commercial shipping companies to reduce operating costs, cut emissions and enable a more individual shipping service. After recently closing our seed funding round with international top-tier investors from the US and Europe, we are now looking to grow our world-class crew!
At CargoKite, we believe that diversity and equal opportunity are key to success. Therefore, we create an inclusive environment for all employees and are open to diverse applications, regardless of age, skin color, national origin, religion, gender, sexual orientation or other legally protected characteristics.
Do I need to meet all the requirements to apply?
Studies by several different sources have shown that, on average, men will apply for a job if they meet 60% of the application requirements. In contrast, women/non-binary people will seek to match a much higher percentage of the requirements before applying.
We encourage everyone to apply and give us a chance to evaluate your skills and experience. We are all learning on the job, and although the listing above has been carefully compiled, we are also open-minded and interested to hear about the value you can bring to the role and to us as a company.
Performance Engineer (f/m/d) • München, Bayern, DE