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BMS Controls Engineer

Job in Oxford, Oxfordshire, OX1, England, UK
Listing for: Vivo Talent
Full Time position
Listed on 2026-02-26
Job specializations:
  • Engineering
    Electrical Engineering, Software Engineer
Salary/Wage Range or Industry Benchmark: 75000 GBP Yearly GBP 75000.00 YEAR
Job Description & How to Apply Below
BMS Controls Engineer / £50K - £75K DOE / Oxford / Onsite

We're partnered with a leading energy-systems division to recruit a BMS Controls Engineer. This is a hands-on engineering role focused on model-based design and embedded control algorithm development for battery energy storage and related stationary/power applications.

The Role
You'll develop and deploy embedded control algorithms for Battery Management Systems (BMS) used across energy storage and battery-powered systems. This sits at the intersection of control systems, embedded software and battery technology - ideal for engineers who enjoy end-to-end delivery from models to deployed code.

Key Responsibilities

Develop control models for embedded targets:
SoC/SoH/SoP/SoE estimation, thermal management, cell balancing, voltage/current limits, protection & diagnostics
Design, simulate and validate models using MATLAB/Simulink & Stateflow
Generate production embedded C code via Simulink Coder / Embedded Coder and deploy to microcontrollers (Infineon XMC, TI C2000, STM
32, NXP)
Support MIL, SIL and HIL validation workflows
Integrate control logic with system, hardware and firmware teams
Ensure requirements traceability (ISO 26262 / ASPICE experience beneficial)
Debug, analyse and optimise real-time control performance
Maintain model/version control using Git or similar tools
Requirements

B.Sc. or higher in Electrical Engineering, Mechatronics, Control Systems or similar
5+ years' experience with MATLAB/Simulink for control development
Hands-on experience with Simulink auto-code generation (Embedded Coder / Simulink Coder)
Strong understanding of battery systems and state estimation techniques
HIL experience (dSPACE, Typhoon HIL, or equivalent)
Working knowledge of CAN and Vector tooling (CANalyzer, CANape, CANoe)
Solid control theory, signal processing and embedded systems background
Comfortable in a fast-paced product development environment
Strong communication, problem solving and organisational skills
Desirable

UDS diagnostics & battery communication protocols
Safety-critical software exposure (ISO 26262, IEC 61508)
Scripting for test automation (Python, MATLAB)
Familiarity with Git, JIRA, Jenkins or Dev Ops tooling
Basic C/C++ or embedded firmware experience
If you're interested then please apply
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