CAE Engineer Toronto, Ontario #7110321

Job Location: Toronto (Ontario)

A major automotive parts supplier is looking for a CAE Engineer who has a proven background in analysis, data management and modelling.

Responsibilities: (not limited to)

  • Contribute to and lead the development of Digital Twin platforms for different applications, from component level to vehicle level systems
  • Provide leadership in connected vehicle simulation, vehicle level simulation of sensor-based product features and control strategies, ADAS, sensor fusion and distributed big data technologies that drive simulation
  • Build data pipelines for the model to interact with physical testing or Digital Twins, which contribute to model calibration
  • Work with advanced test and development teams to collect required data to create a Data Lake and to support model correlation and calibration process
  • Organize and manage the data lake to maximize the value of data in its different forms, including sensor raw data and simulation results.
  • Use available software or build tools for automating co-simulation loops and software integration, within and across platforms (Windows desktop, Linux HPC).
  • Contribute to the optimization of pre/post processing workflows, collaborative platforms, modelling strategies across different R&D locations.
  • Build metrics to demonstrate progresses for data value and workflow improvements.
  • Responsible for deploying and managing analytics and visualization tools. Design IoT systems to communicate and move data between products, models, and Cloud. 
  • Develop and implement new modelling strategies/methods to accelerate development
  • Preparation of concise reports with clear recommendations for stakeholders and customers
  • Accountable for effective technical project tracking to achieve annual objectives
  • Continually evolve core simulation competencies as the state-of-the-art changes and as technology requirements change

 Knowledge Base (not limited to)

  • Academic background in Computer Engineering, Electrical Engineering, Mechanical /Automotive Engineering, and BEV relevant industry experience, with experience and track record associated with vehicle simulation
  • Passionate about automotive and topics such as electrification, thermal management, cooling system concepts, vehicle powertrain and numerical simulation
  • Strong programming skills in C/C++, and scripting (Python).
  • Experience in maintaining and working large datasets.
  • Experience with real-time programming of embedded platforms and their operating systems
  • Track record in deploying prediction models into real world environments
  • Experience with handling real-time sensors relevant to Autonomous Driving is an asset.
  • Expertise in MATLAB, Simulink, Stateflow, and model-in-the-loop testing
  • Experience with electrical systems, sensor systems, ECUs, and their interaction with an automotive system
  • CAE tool knowledge  (GT-suite, Altair HWU HPC core tools)
  • Strong knowledge of automotive BEV and HEV systems and components
  • An understanding of statistical analysis with strong ability to apply to decision making
  • A solid understanding of modern engineering test techniques, from simulation coupling, to advanced modern testing HiL/SiL tools – would be an asset.

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