Senior Modelling and Simulation Engineer
Senior Modelling and Simulation Engineer

Senior Modelling and Simulation Engineer

Grove Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the development of advanced multi-physics system models and simulations.
  • Company: Join Williams Grand Prix Technologies, a leader in engineering innovation with a rich motorsport heritage.
  • Benefits: Enjoy generous holidays, fitness classes, and a vibrant workplace culture with free parking.
  • Why this job: Make a global impact by solving complex engineering challenges in a fast-paced, innovative environment.
  • Qualifications: Bachelor's or Master's in Engineering; PhD preferred, with extensive experience in multi-physics systems.
  • Other info: Located at the cutting-edge Williams Racing Campus, just 30 minutes from Oxford.

The predicted salary is between 43200 - 72000 £ per year.

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.

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.

Additional Information

#LI-KB1

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

Senior Modelling and Simulation Engineer employer: Williams Racing

At Williams Grand Prix Technologies, we pride ourselves on being an exceptional employer, offering a dynamic work environment at our state-of-the-art facility in Grove, Oxfordshire. Our team enjoys a competitive benefits package, including generous holidays, vibrant staff events, and access to fitness classes, all while working on innovative projects that make a global impact. With a strong focus on employee growth and mentorship, we foster a culture of continuous learning, ensuring that your contributions are valued and your career can thrive.
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Contact Detail:

Williams Racing Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Modelling and Simulation Engineer

✨Tip Number 1

Familiarise yourself with the specific simulation tools mentioned in the job description, such as MATLAB, Simulink, Dymola, and JuliaHub. Consider taking online courses or tutorials to enhance your skills in these platforms, as hands-on experience will set you apart from other candidates.

✨Tip Number 2

Network with professionals in the field of multi-physics systems engineering. Attend industry conferences, webinars, or local meetups to connect with current employees at Williams Grand Prix Technologies or similar companies. This can provide valuable insights and potentially lead to referrals.

✨Tip Number 3

Showcase your problem-solving skills by preparing examples of past projects where you successfully integrated multiple physical domains. Be ready to discuss these experiences during interviews, highlighting how you approached challenges and the impact of your solutions.

✨Tip Number 4

Demonstrate your passion for mentoring and collaboration by engaging with junior engineers or students in your network. Share your knowledge through workshops or online forums, which not only helps others but also showcases your leadership qualities to potential employers.

We think you need these skills to ace Senior Modelling and Simulation Engineer

Multi-Physics Systems Engineering
Advanced Modelling Tools (MATLAB, Simulink, Dymola, JuliaHub)
Co-Simulation Techniques
Model Validation and Correlation
Automation of Simulation Workflows
Integration of Parametric CAD Models
High-Performance Computing (HPC)
Cloud Computing Resources
Data Science and Machine Learning
Python and/or Java Proficiency
Strong Problem-Solving Skills
Mentoring and Coaching
Interdisciplinary Collaboration
Engineering Best Practices

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with multi-physics systems engineering and the specific tools mentioned in the job description, such as MATLAB, Simulink, and Dymola. Use keywords from the job listing to ensure your application stands out.

Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about modelling and simulation engineering. Mention specific projects where you've successfully used co-simulation techniques or advanced modelling tools, and how these experiences make you a great fit for the role.

Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your strong problem-solving skills. Discuss situations where you identified issues, analysed root causes, and implemented effective solutions, particularly in multi-domain environments.

Highlight Mentorship Experience: Since the role involves mentoring junior engineers, include any relevant experience you have in coaching or guiding others. This could be formal mentorship roles or informal guidance you've provided in previous positions.

How to prepare for a job interview at Williams Racing

✨Showcase Your Technical Expertise

Be prepared to discuss your experience with advanced modelling tools like MATLAB, Simulink, Dymola, and JuliaHub. Highlight specific projects where you developed multi-physics models and how you approached complex engineering challenges.

✨Demonstrate Co-Simulation Knowledge

Since the role involves co-simulation techniques, be ready to explain your understanding of integrating multiple simulation tools. Share examples of how you've successfully implemented co-simulation strategies in past projects.

✨Emphasise Problem-Solving Skills

Prepare to discuss instances where you've identified issues and implemented effective solutions. Use the STAR method (Situation, Task, Action, Result) to structure your responses and showcase your analytical skills.

✨Highlight Mentorship Experience

As a senior engineer, mentoring junior engineers is key. Talk about your experience in guiding others, fostering a culture of continuous learning, and how you've contributed to team development in previous roles.

Senior Modelling and Simulation Engineer
Williams Racing
W
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