Senior Modelling and Simulation Engineer

This position is part of Williams Grand Prix Technologies a Williams Group company.

We are seeking a Senior Modelling and Simulation Engineer with a specialisation in multi-physics systems engineering. This role involves leading the development of advanced system models that span mechanical electrical thermal and fluid dynamics domains. You will leverage cutting-edge simulation tools such as MATLAB Simulink Simscape and JuliaHub to create high-fidelity models and run simulations to solve complex engineering challenges across a range of industries.

This position requires expertise in co-simulation techniques where multiple physical domains are integrated to achieve system-level optimisation. As a senior engineer you will guide technical projects from inception to completion mentor junior engineers and collaborate with cross-functional teams to drive innovation and streamline workflows. 

Key Responsibilities 

• Develop refine and validate multi-physics models to accurately represent complex systems encompassing domains such as mechanical electrical thermal and fluid dynamics. 

• Utilise advanced modelling tools such as MATLAB Simulink and Simscape (or equivalent i.e. Dymola Modelica) and JuliaHub to create simulate and optimise high-fidelity physical models. 

• Integration of physical and machine learning models to deliver high-accuracy estimation and insights.

• Maturation of simulation toolchain and co-simulation framework to conduct holistic system-level analyses.

• Automate and optimise simulation workflows to accelerate model development and integration with parametric CAD models and streamline the design process.

• Leverage both on-premise high-performance computing (HPC) and cloud computing resources to enhance simulation efficiency ensuring accurate results within reduced timeframes.

• Responsible for leading technical work packages collaborating with interdisciplinary teams ensuring timely delivery and high-quality outcomes while also mentoring and guiding junior engineers in the team.

• Maintain a high standard of engineering best practices continuously seeking improvements and fostering their adoption within the team.

About You:

• Bachelors or Masters degree in Mechanical Engineering Electrical Engineering or a related field with an emphasis on multi-physics simulation and systems engineering; PhD preferred. 

• Extensive experience in multi-physics systems engineering including hands-on expertise in: 

  • Advanced tools such as MATLAB Simscape JuliaHub and equivalents (e.g. Dymola Modelica). 

  • Co-simulation frameworks for integrating multiple domains. 

  • Building models from scratch including geometry preparation parameterisation and post-processing. 

  • Applying systems engineering principles across mechanical thermal electrical and fluid domains. 

  • Automating simulation workflows including CAD integration for optimisation. 

• Practical experience with Scientific Machine Learning (SciML) using MATLAB JuliaHub and equivalents embedding ML into physics-based models.

• Strong background in data science and machine learning with proven ability to integrate data-driven and physics-based approaches for improved prediction accuracy.

• Expertise in model validation and correlation with experimental or real-world data.

• Strong analytical and problem-solving skills with ability to identify root causes and implement effective solutions.

• Excellent communication and collaboration skills with experience working in cross-functional teams.

• Passion for mentoring and developing junior engineers fostering a culture of technical excellence

Preferred Skills:

• Proven expertise in high-performance computing (HPC) environments for running large-scale simulations and optimising computational efficiency.
• Proficiency in Python and/or Java for scripting and workflow automation.
• Hands-on experience in multi-domain optimization techniques particularly for real-time decision-making in high-performance applications such as motorsports aerospace or automotive industries.
• Publications or patents in the fields of multi-physics simulations scientific computing or AI-driven engineering solutions.

Additional Information :

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Atlassian Williams Racing is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments.

Remote Work :

No

Employment Type :

Full-time