BMS Algorithm Software Engineer

Dukosi, Edinburgh, Scotland, United Kingdom

Join Dukosi as a BMS Algorithm Software Engineer to help demonstrate the competitive advantages of our battery monitoring platform by prototyping and benchmarking battery state‑estimation algorithms in a simulation environment. The role involves working within West US or European time zones.

In this role, you will develop a flexible BMS‑algorithm simulation platform. You will work with experts in the field, such as Dr. Gregory Plett, to create and parameterize models and implement standard and custom state‑of‑charge (SOC), state‑of‑health (SOH), state‑of‑available‑power (SOAP), and state‑of‑energy (SOE) algorithms. You will benchmark algorithm performance under different assumed hardware configurations and conduct diminishing‑returns analysis. Tasks include:

• leiderne Build and parameterize cell, thermal, and sensor models.
• Generate usage profiles for different battery applications.
• Research and implement battery state‑estimation algorithms.
• Evaluate the compute resources needed for the simulation environment.
• Perform diminishing‑returns analysis.

You bring to this role a strong background in lithium‑ion battery modelling and management. You are skilled at programming, enjoy solving problems, and learn from data. You communicate well and can work collaboratively and independently. Prerequisites include:

• You know lithium‑ion modelling fundamentals and state‑estimation algorithms.
• Have a strong mathematical and analytical background.
• Are a skilled programmer in MATLAB/Simulink, Python, and/or C/C++.
• Are highly organized and solve problems with care and structure.

• Entry level
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• Full‑time

• Engineering and Information Technology
• Semiconductor Manufacturing