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Senior Battery Algorithms Engineer (all genders)

CompraTica Empleos

EMP:Technology
Munich HQ
Tiempo Completo
Remoto
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Descripción

Your Mission:We are developing a next-generation electric aircraft propulsion system, with the propulsion battery designed, developed, and validated in-house.

Accurate real-time observation and prediction of the battery’s State of Function (SoF), the energy and power actually accessible for safe flight and landing, is the safety-critical output of the battery system, and the basis for pre-flight planning, in-flight energy management, and the energy information presented to the crew.

SoF is built on the underlying battery states that your algorithms observe and predict: state of charge (SoC), state of health (SoH), state of power (SoP), state of energy (SoE), and state of balance (SoB).

Erroneous observation or prediction of SoF is classified as a catastrophic condition, since it can lead the crew to commit to a flight or an approach the battery cannot support.

This makes the function certification-critical and places exacting demands on the accuracy, robustness, and verifiability of every algorithm you deliver.

As a Senior Battery Algorithms Engineer (all genders), you will join the VÆRIDION Technology team and take ownership of the development and validation of the state observers, estimators, and predictors that determine SoF for our lithium-ion propulsion battery systems.

This is a hands-on senior role in which you lead the modeling, simulation, algorithm development, test-data analysis, and validation behind these states, and set the methodology the team works to.

Your work will shape the high-voltage battery system at the center of VÆRIDION’s electric propulsion architecture and carry it through to certification.

 Your Day-to-Day:Own the end-to-end development and validation of battery state observers, estimators, and predictors for SoF, SoC, SoH, SoP, SoE, and SoB across cell, cell-bank, and pack levelParameterize multi-RC equivalent-circuit models (OCV, R0, RC pairs, hysteresis, thermal, and aging effects) from cell supplier data, virtual and physical test benc.

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