WHAT TO EXPECT
As a Lead Engineer (Virtual Methodologies) you will be developing and delivering a comprehensive and aligned strategy for the Calibration and Controls department, this role will work on best practices, methods, standards, processes, people and organisation, hardware and software tools.
This role specialises in managing the usage of highly advanced Powertrain Virtual test properties comprising of MiL, SiL and HiL . The role requires close collaboration working with all teams from all aspects of the propulsion system traditional ICE, transmission, driveline, hybrid and full BEV systems along with the Powertrain CAE team in order to optimise, integrate and validate the whole propulsion system before VB. The MiL, SiL and HiL test environment forms part of the end to end tool chain process starting with virtual testing through to physical testing and maximises propulsion system optimisation and delivery through advanced and comprehensive DVM design and automation.
Key Accountabilities and Responsibilities
As a Lead Engineer (Virtual Methodologies), you will contribute to the development of tools and methodologies to support the calibration and validation of the engine control system. You will ensure capable, robust and documented methods across all attributes and systems supporting robust and optimised design and contribute to the development of capable, efficient, standardised and automated simulation processes. You will work on ensuring Jaguar Land Rover has capable, effective and sustainable software and hardware component tools to support the calibration and engine control system.
WHAT YOULL NEED
You will be an individual with a customer first mindset who is easy to do business with and makes people feel special, driven to deliver experiences that are personalised, transparent and dependable. You will be an individual, who works independently, is results driven, demonstrating tenacity, drive and perseverance with the ability to deliver operational plans in a complex, highly demanding environment, and have the capability to combine a short term, pragmatic focus with medium term planning Relevant degree or equivalent experience preferred
Knowledge, Skills and Experience
Knowledge of Powertrain calibration and controls, ideally to a detailed level
Experience of modelling complex systems, ideally vehicle and/or Powertrain systems
Matlab, Simulink and Simulink Projects, Excel.
Experience of AVL MoBEO, CAMEO, Cruise and GT Power, ETAS Intecrio, Flow and INCA, programming (Python C, C++), MS Visual Studio and scripting skills
Experience of using MiL, SiL and HiL for power train system optimisation
Experience of DVM design across the whole propulsion system
Experience of using automation tools across virtual and physical test environments
Delivery of Engineering and or analytical projects preferably within the automotive industry
Experience of solving complex technical issues using a structured approach with the ability to identify areas for improvement