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STARK is seeking a Powertrain Simulation Engineer to drive the development and validation of electric powertrain models, covering propulsion, inverter, battery, and thermal management systems.
You will create 1D multi-physics simulations, run aggressive mission profiles, and work cross-functionally to optimize architecture and verify performance before hardware builds.
STARK is a European defence technology company building the next generation of unmanned systems. We design, develop and manufacture software-defined, mass-scalable and cost-effective platforms that give NATO operators a decisive edge in highly contested environments. We are focused on delivering deployable, high-performance capability - not future promises. In a time of rising threats, our work strengthens the technological edge of NATO Allies and their partners.
As a Powertrain Simulation Engineer, you will be the driving force behind predicting, optimizing, and validating the performance of our electric Powertrain Systems (propulsion, inverter, battery and cells). You will manage the development and execution of complex 1D multi-physics models to simulate aggressive flight profiles and powertrain behaviors. You will build simulation pipelines, automate data analysis, and conduct virtual testing to guide architectural decisions and validate system capabilities before physical hardware is built.
Design, build, and maintain high-fidelity 1D models of the complete electric powertrain (including batteries, inverters, electric motors, and thermal management systems) using industry-standard tools.
Execute standard and custom simulation profiles-including high-power continuous discharge (simulating hover/climb), dynamic pulse loading, and extreme temperature conditions-to evaluate system-level performance and efficiency.
Conduct trade studies and sensitivity analyses to optimize powertrain component sizing, gear ratios, voltage levels, and thermal cooling strategies to maximize range and payload.
Work closely with the hardware test engineering team (e.g., Dyno and Battery Lab) to correlate 1D simulation results with empirical test data, continuously improving model accuracy and reliability.
Provide high-fidelity plant models to the firmware and systems teams to support the development of control algorithms and Software/Hardware-in-the-Loop (SIL/HIL) testing.
Develop scripts to automate the execution of complex simulation matrices, post-processing of results, and generation of performance reports.