Real Time Systems Development Engineer

Department: Simulator Development

Employment Type: Permanent - Full Time

Location: Silverstone, England, Silverstone

Key Responsibilities

• Support the ongoing development of the team’s Gearbox dyno and DIL simulator.
• Develop, integrate, and maintain power unit, driveline, hydraulics and vehicle models for real-time use.
• Apply correlation techniques to identify and resolve issues.
• Work on real-time and Hardware-in-the-Loop (HIL) simulation solutions.
• Develop and improve simulation and controls solutions to enhance the HIL’s fidelity.
• Contribute to the development and maintenance of tools for setup, diagnostics, data display, simulation, and analysis.
• Collaborate proactively across departments, contributing effectively to technical reviews.
• Maintain up-to-date knowledge of relevant technologies, and industry best practice.

Skills, Knowledge and Expertise

• Degree in Engineering, Physics, Mathematics or a related discipline.
• Strong problem-solving, mathematical, and analytical skills.
• Solid expertise in real-time systems, mechatronics, HIL simulators and controls.
• Modelling experience across mechanical, hydraulic, thermal, and electrical systems, including correlation techniques.
• Ability to communicate complex technical information clearly, concisely, and professionally, often to tight deadlines.
• Calm, confident approach under pressure with a strong results-driven mindset. 
• Ideally, experience in automotive or within high-level motorsport in a similar role.
• Experience with ECUs, electric motors actuation, servo drives, and hydraulic actuation and real-time OS would be beneficial but is not essential. 
• Coding experience in MATLAB/Simulink, C/C++, and other languages such as Python or C#.
• Experience with tools such as DSPACE, DYMOLA, AVL-PUMA, System Monitor/TAG SECU, ATLAS, Jira, Git or Bitbucket.
• Experience with communication protocols such as EtherCAT and CAN would be beneficial but is not essential. 
• General understanding of numerical methods, optimisation, control theory, vehicle dynamics and performance simulation.

Benefits