Battery Science and Data Engineer

About Munich Electrification

Munich Electrification is an innovative company founded with the aim of accelerating the transition to electric and connected mobility. We develop innovative electronic control units for electric vehicles and stationary storage systems for our global customers. Our international team is composed of highly motivated and exceptional engineers. As a small and specialized team we are well-aware of the importance of each individual colleague and support and promote each employee according to their abilities and needs. Our office with adjacent prototype and testing lab is located in the heart of Munich at the Heimeranplatz.

This is what we stand for:

- Technological Leadership: We challenge norms, innovate quickly, and anticipate future needs. We take smart risks and learn from outcomes to stay ahead.

- Sustainability: We actively drive change for a sustainable future, aware of our impact and inspiring others to build a better world.

- Team Culture: We believe work should be enjoyable, fostering a spirit of inspiration, celebration, and teamwork across the globe.

- Entrepreneurial Spirit: We embrace change, think big, and push limits with passion.

Your role

We are looking for a driven engineer to join our Battery Science and Data team and own an exploratory diagnostic workstream. You will investigate what advanced battery diagnostics can add to our Battery Management Systems - starting with state estimation of internal battery states and building toward fault and anomaly detection. Working on our lab demonstrators with real BMS hardware, you will evaluate diagnostic methods hands-on and translate findings into algorithm concepts that feed into our product pipeline.

The position sits within a small, focused pre-development team that validates new concepts before they reach SW engineering or cloud deployment. Your work connects to the team’s broader efforts in cloud analytics, edge inference, and safety-critical detection algorithms. You define the “how” – we set the direction together.

Your future tasks at a glance

• You are the owner of an exploratory workstream and not executing against a fixed spec. You define the technical direction, work hands-on in the lab, and your success is measured by the transition of lab-proven concepts into our real-world BMS product pipeline.

• Design and evaluate advanced diagnostic algorithms for state estimation and battery health assessment across cell chemistries (NMC, LFP).

• Develop novel fault detection and anomaly detection approaches, combining physics-based features with machine learning.

• Build validation frameworks that quantify algorithm performance across operating conditions, temperatures, and aging states.

• Define data collection requirements like measurement protocols and operating points needed for robust validation.

• Collaborate with research partners on joint algorithm development and structure research project with academic partners.

What you bring with you

• University degree in electrical / control engineering, physics, applied mathematics, or a similar field.

• Strong background in battery physics, aging mechanisms, and state estimation fundamentals.

• Proficiency in Python for data analysis and scientific computing (NumPy, SciPy, Pandas).

• Experience designing and evaluating diagnostic or estimation algorithms for electrochemical systems.

• Comfortable working without a fixed playbook; define your own experiments, critically evaluate results, value negative outcomes, and change direction when the data tells you to.

• Excellent communication skills in English; proficiency in German is a strong plus.

  Ideally, you also have

• Experience with electrochemical impedance spectroscopy (measurement, interpretation, modeling).

• Experience applying machine learning to time-series or sensor data (classification, anomaly detection).

• Familiarity with embedded constraints; awareness of what is realistic on a microcontroller vs. what belongs in the cloud.

• Published work or thesis in battery diagnostics, electrochemical methods, or related fields.

• Experience with battery test equipment and lab measurement setups.

  Note on level: We are primarily looking for a Senior candidate. However, we encourage exceptional PhD graduates with a strong focus on battery diagnostics or state estimation algorithms to apply; for these candidates, we offer a contributor path with increased mentorship during the first months.

Our Offer & Benefits

The chance to be part of a highly innovative, agile, and unique team with prestigious customers in the automotive and battery storage sector. You will gain a deeper knowledge around connected & electric vehicle batteries, battery management and electronics development and strive in an exciting work environment

Benefits (Full-time Employees):

- Trust-based working hours and hybrid work

- Adequate and competitive compensation

- Pension Plan/Bonus

- Free access to the fitness center right next to us or subsidized EGYM Wellpass

- Free snacks, coffee, drinks and lunch (freshly cooked by our chef) every day

- Public transport ticket

- Bike-Leasing via Business Bike

- Experience various inspiring and fun team events

- ME-branded clothing

- Option to "work from anywhere" (6 weeks/year)