Staff Vehicle Modeling Engineer

ALSO.

Vehicle Modeling Engineer focusing on system-level modeling for small electric vehicles. Leading development efforts from concept through validation for a pioneering electric mobility platform.

Posted 5/6/2026full-timeFarnborough • 🇬🇧 United KingdomLeadWebsite

Tech Stack

Tools & technologies

IoTNumpyPandasPython

About the role

Key responsibilities & impact

Develop, maintain, and own multi-domain and high-fidelity models of vehicle subsystems for an electric micro-mobility platform including:
- Electric drivetrains
- Motors and motor electromagnetic models
- Inverters and DC/DC converters
- Battery cells and battery packs
- Gearboxes and braking systems
- Thermal management systems
Convert motor electromagnetic models into system-level executable models suitable for full vehicle simulations.
Develop battery cell and pack models using supplier data for:
- powertrain system-level modeling
- battery management system (BMS) algorithm development.
Perform system-level simulations of electric powertrain behavior across a wide range of:
- operating conditions
- drive cycles
- vehicle use cases
- control strategies.
Apply deep expertise in electrical system dynamics, including:
- transient current behavior
- battery ripple current analysis
- inverter-motor interaction
- power electronics dynamics.
Develop drive cycle and usage models to define vehicle operating conditions. Establish vehicle capabilities and performance attributes that drive system design.
Create models supporting:
- vehicle efficiency analysis
- range estimation
- thermal performance
- cost analysis
- energy consumption modeling.
Translate subsystem and system-level models into:
- system requirements
- performance targets
- design constraints for internal teams and suppliers.
Define and maintain interfaces between subsystems, including:
- electrical
- thermal
- mechanical
- software controls.
Ensure consistency between models, requirements, and implemented hardware.
Develop algorithms related to:
- thermal derating strategies
- battery management systems (BMS)
- system protection and performance optimization.
Process and analyze data collected from:
- prototypes
- test benches
- field-deployed vehicles.
Correlate simulation predictions with real-world data to validate and refine models.
Work closely with test and validation teams to ensure model accuracy and predictive capability.
Work cross-functionally with:
- hardware engineers
- firmware engineers
- controls engineers
- software engineers
- reliability teams
- manufacturing teams.
Support test planning, system validation, and reliability engineering with model-based insights.
Translate modeling results and data insights into clear engineering recommendations.
Support development of data pipelines and dashboards for:
- system health monitoring
- vehicle usage profiling
- reliability tracking.
Use operational data to improve models and support continuous vehicle performance optimization.

Requirements

What you’ll need

Degree qualified (Bachelor’s minimum, Master’s preferred) in Mechanical Engineering, Mechatronics, Physics, Electrical Engineering, or related field.
5+ years of experience in physical systems modeling (e.g., Simulink, Modelica, MATLAB, or equivalent tools).
Strong Matlab and Simulink experience.
Strong experience with Python or other data analysis tools (e.g., Pandas, NumPy, Jupyter).
Familiarity with vehicle dynamics, control systems, or battery/electric powertrain modeling.
Hands-on experience with time-series data analysis and signal processing including filtering and fourier analysis.
Familiarity with CAN bus protocols, vehicle telemetry, or IoT data systems.
Strong experience in electric vehicle or hybrid vehicle systems.
Electric Powertrain Expertise including electric motors and motor modeling; power electronics (inverters, DC/DC converters); battery modeling and electro-thermal behaviour; energy flow and efficiency modeling.
Electrical System Dynamics including transient current analysis, and power electronics interactions.
Thermal Systems including EV thermal management modeling and component and system-level thermal simulation.
Data & Validation including data analysis using Python or MATLAB and model validation and correlation with real-world test data.
Experience with micro-mobility platforms (e-bikes, scooters, light EVs).
Experience working with suppliers on component modeling and validation.
Familiarity with BMS algorithm development.
Experience building drive cycle models and usage simulations.
Experience supporting vehicle programs from concept through production.

Benefits

Comp & perks

Please note: to ensure that candidates select the most relevant jobs for their skills, we have set up limits to the number of times candidates can apply. The following limits apply to **all** roles at ALSO:
- Candidates may not apply more than **3** times in any **60** days for any job
- Candidates may not re-apply to the same role within **60 **days if not presented with an offer

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

physical systems modelingelectric powertrain modelingbattery modelingthermal management modelingdata analysissignal processingdrive cycle modelingalgorithm developmentsystem validationmodel validation

Soft Skills

cross-functional collaborationcommunicationproblem-solvingdata-driven decision makinganalytical thinkingattention to detailproject managementteamworkadaptabilitycritical thinking