Senior Modelling and Simulation Engineer

Williams Grand Prix Technologies help solve our customers’ engineering challenges using world-leading capabilities in the areas of platform dynamics, advanced materials, simulation, testing, high performance computing, data analytics, artificial intelligence and machine learning. Operating across a wide spectrum of sectors, from aerospace and premium automotive to sport and lifestyle, we deliver a unique and world-class offering that draws on an unrivalled and trusted pedigree, earned at the forefront of motorsport engineering and diversified advanced engineering excellence. Our team operates from our headquarters in Grove, UK. By combining exceptional talent with unique engineering assets, we tackle our clients’ most complex challenges with the agility and precision that our motorsport heritage demands. Position Overview 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 wide spectrum of sectors. 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. Utilize 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 optimize 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. Preferred Candidate Profile: 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. 5 years of 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. Excellent communication and collaboration skills, with a proven ability to work with cross-functional teams to deliver high-quality outcomes. Passion for mentoring and coaching junior engineers, helping to build a culture of continuous learning and improvement. Desirable Knowledge & Experience: Experience with Scientific Machine Learning (SciML) frameworks, such as DiffEqFlux.jl or similar, for integrating machine learning into scientific and engineering models. Proven expertise in high-performance computing environments for running large-scale simulations and optimizing computational efficiency. 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. Proven ability to integrate data science and machine learning models with traditional physics-based simulations, improving accuracy and prediction capabilities. Publications or patents in the fields of multi-physics simulations, scientific computing, or AI-driven engineering solutions. Why Join Us? Williams Grand Prix Technologies is based at the Williams Racing Campus in a multi acre complex located in Grove, Oxfordshire. The Williams Group offer a competitive holiday package, staff events/open days, a subsidised restaurant on site and various car schemes. We have an on-site gym (open 24 hours a day) as well as various fitness classes including outdoors bootcamps, pilates and yoga free for all staff and contractors to use. Aside from these benefits we can offer free onsite parking and large open green spaces to unwind during breaks. We are a based just 30 mins from Oxford City Centre by bus. At Williams Grand Prix Technologies, you will be part of a pioneering team at the forefront of engineering innovation. You'll have the opportunity to work on exciting projects across various industries, making a global impact. We offer a collaborative and dynamic work environment where your skills and creativity will be valued and encouraged. Williams is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments.