Posted:  12th April, 2025

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Position: System CAE Engineer 

Domain: Automotive / EV / SIL 

Job Type: Permanent / Contract 

Location: Onsite in West Midlands, UK / Remote 

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Job Summary: 

The ideal candidate has hands-on experience with key simulation tools including MATLAB, Python, and is driven to improve simulation fidelity across the system development lifecycle. The candidate will be instrumental in delivering a cohesive system modelling continuum to support early-stage concept validation through to late-stage integration and performance verification.  

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Key Responsibilities: 

• Develop and maintain system-level performance models to simulate dynamic behavior across vehicle or propulsion subsystems. 

• Support the delivery and enhancement of the system tool continuum—from concept design to integration testing. 

• Implement and validate Software-in-the-Loop (SIL) environments for simulation and virtual validation use cases. 

• Correlate simulation models against test data to improve model accuracy and predictive performance. 

• Work cross-functionally with controls, calibration, and hardware teams to ensure model alignment with physical systems. 

• Apply Matlab, Simulink, and Python-based tools to develop and automate simulations and analysis. 

• Provide simulation insights to influence design, validation strategy, and product improvement activities. 

• Contribute to model documentation, version control, and integration with toolchains and workflows. 

• Support digital validation and virtual sign-off activities with accurate, robust model output. 

 

Skills, Knowledge and Experience Required: 

    

Technical & Simulation Skills: 

• Strong experience in system-level CAE modelling and simulation for automotive, propulsion, or mechatronic systems. 

• Expertise in MATLAB, Simulink, and Python for simulation, data analysis, and tool development. 

• Experience with SIL environments, co-simulation setups, and testbench automation. 

• Proven ability to correlate simulation results with experimental data to improve model fidelity. 

• Familiarity with digital engineering workflows and system development lifecycles. 

 

Tool & Platform Knowledge: 

• Proficiency with system simulation tools like MATLAB/Simulink, Dymola, AMESim, or similar platforms. 

• Knowledge of data visualization tools and automation scripting (e.g., Python, pandas, matplotlib). 

• Understanding of version control systems (e.g., Git) and model lifecycle management tools is a plus. 

 

Experience: 

• 4+ years of experience in CAE / Systems Simulation within automotive, aerospace, or relevant industries. 

• Direct involvement in system performance analysis, SIL development, and virtual validation environments. 

 

Soft Skills: 

• Strong analytical thinking and problem-solving mindset. 

• Effective communication and documentation skills for cross-functional collaboration. 

• Attention to detail with a proactive, hands-on approach to simulation challenges. 

 

Education: 

• Bachelor’s or Master’s degree in Mechanical Engineering, Control Systems, Mechatronics, Electrical Engineering, or a related field. 

• Additional coursework or certifications in modelling/simulation or data science are an advantage. 

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What we offer (For Permanent) 

• Competitive Salary in line with level of experience 

• UK Work Visa sponsorship for eligible candidates 

• Opportunity to be part of world class product development projects 

• Pension Scheme 

• 28 Days Holidays (Annual + Bank Holidays). 

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This role may offer the opportunity for hybrid working where you can split your time between working from home and in the office. Hybrid working is a voluntary, non-contractual arrangement providing employees with more choice and flexibility around how, when and where they work, if suitable for their role. Further details can be discussed with the Hiring Manager at interview stage. 

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The applications window for this position shall be closed any time as per the applications we may receive.