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(17 / 10 / 2025) SR. DIGITAL TWIN ENGINEER

(17 / 10 / 2025) SR. DIGITAL TWIN ENGINEER

Jaguar Land Rover IndiaIndia
8 hours ago
Job description

Brief Description about the role :

The Vehicle Platform – Propulsion Team is seeking a highly skilled and analytical engineer to lead the development of data – driven Digital Twin model development for Electric Drive Units (EDUs). This role requires understanding of state-of-the-art modelling, machine learning, and integration with cloud / edge computing. The Senior Digital Twin Engineer will be at the forefront of building real-time scalable simulation environments, enabling predictive diagnostics and system-level optimization for Jaguar Land Rover’s next generation of electric vehicles.

Skills, experience and qualifications :

Essential :

  • Bachelor’s / Master’s degree in engineering.
  • Minimum 6+ years of experience in building mathematical models to emulate physical behaviour.
  • Experience of developing sensor & data strategy, machine learning & deep learning frameworks.
  • Researching algorithms and models in statistics, machine learning to tackle problems in the automotive world.
  • Excellent programming skills : Python, C++
  • Experience with cloud technologies : Dataflow, BigQuery, Spark, Apachebeam, AWS, Azure.
  • Exposure to NV Omniverse, Azure Digital Twins etc.
  • Excellent analytical, problem-solving, and cross-functional collaboration skills.
  • Excellent communication and presentation skills.
  • Strong people skills and the ability to work individually and in a cross functional team.

Desired :

  • Familiarity with version control, collaborative development workflows and data pipelines (e.g., Git, GitLab).
  • Exposure to AI / ML frameworks for data analysis, surrogate modelling, Edge ML libraries, CAE calibration, predictive maintenance and virtual sensing.
  • Understanding of systems engineering “V” lifecycle and experience of requirement definition.
  • Hands-on experience with data acquisition systems, signal processing, and validation techniques.
  • Experience with digital twin platforms or real-time simulation environments (e.g., dSPACE, NI Veristand, Speedgoat, OpalRT).
  • Basic understanding of electric powertrain technologies.
  • Key responsibilities of the role will include :

  • Establishing backbone of data driven projects which can feed into different JLR businesses.
  • Integrate digital twin models with vehicle-level frameworks.
  • Apply machine learning and statistical techniques to enhance model fidelity and predictive accuracy.
  • Support real-time simulation and control strategy testing in both virtual and hybrid environments.
  • Document modelling assumptions, validation plans, and simulation workflows in accordance with quality and regulatory standards.
  • Collaborate with systems engineering, control, hardware, and software teams to harmonize simulation and test strategies.
  • Evaluating suitable digital twin technologies eg : NV Omniverse, Azure Digital twins etc.
  • Responsible for training and guidance for the new team members.
  • Validate digital twin models using hardware-in-the-loop (HiL) and physical test data.
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