Senior Modelling and Simulation Engineer

Company Description

Established in 2024 and based alongside Atlassian Williams Racing in Grove, UK, Williams Grand Prix Technologies is driving innovation with pedigree. We offer world-leading capabilities in platform dynamics, advanced materials, simulation intelligence, prototyping, and testing. Drawing on nearly five decades of unrivalled engineering prowess earned at the forefront of motorsport and advanced engineering, we solve complex challenges across aerospace, premium automotive, defence, sport, and lifestyle sectors. Powered by a motorsport heritage demanding precision and speed, we deliver tailored, high-performance solutions that push boundaries and accelerate progress. 

Job Description

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, Dymola, 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 optimization. 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, Dymola, and JuliaHub to create, simulate, and optimize high-fidelity physical models. 

• Lead the implementation of co-simulation strategies, integrating multiple simulation tools 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. 

• Lead technical projects, ensuring timely delivery and high-quality outcomes, while also mentoring and guiding junior engineers in the team. 

• Collaborate with interdisciplinary teams to integrate simulation results into broader engineering workflows, contributing to system design optimization and innovation. 

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

About You:

• Bachelor's or Master's 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 modelling tools such as JuliaHub, MATLAB, Simulink, Dymola, and similar platforms for complex system simulations. 

  • Co-simulation frameworks, integrating various simulation tools and methods to solve multi-domain problems. 

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

  • Systems engineering principles that span mechanical, thermal, electrical, and fluid domains. 

  • Automation of simulation workflows, integrating parametric CAD with co-simulation frameworks for faster and more efficient optimizations. 

• Proficiency in Python and/or Java is highly desirable, especially for scripting and workflow automation. 

• Experience in data science and machine learning approaches and modelling with integration to Scientific Machine Learning. 

• Expertise in model validation and correlating simulation data with real-world experimental results. 

• Strong problem-solving skills with the ability to identify issues, analyse root causes, and implement effective solutions. 

• Passion for mentoring and coaching junior engineers, helping to build a culture of continuous learning and improvement. 

Why join us? 

Williams Grand Prix Technologies is based at the Williams Racing Campus in Grove, Oxfordshire, a cutting-edge, expansive facility just 30 minutes from Oxford city centre by bus. 

We fuel our team with a competitive benefits package, including generous holidays, vibrant staff events, a subsidised onsite restaurant, and a range of car schemes. Stay energised with 24/7 access to our gym and free fitness classes like outdoor boot camps, Pilates, and yoga. With free parking and sprawling green spaces, you’ve got the perfect space to recharge and refocus. 

Join a fast-paced, future-thinking team that’s driving innovation and pushing past engineering boundaries. Here, your skills and ideas don’t just contribute, they will power projects across diverse industries, making a real global impact.

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.