Digital twin engineer

2 weeks ago


Singapore This Is An IT Support Group Full time

Innovation starts with being curious. At Volvo Cars, we believe that being curious and truly committed to understanding people is the key to future success. We are people who care about other people, working together to create new technologies and innovations for safe, sustainable and convenient mobility. Want to join us?What We Offer We're transitioning to a fully electric car maker by 2030 which means revolutionising the way we work, the way we build cars, and the way our customers interact with our products, all while retaining our values as a company that cares for people and the planet first. This role will be part of our Singapore Tech Hub team, as a new start-up organization, you will work with the management team to define technical strategy, footprint and build up your team.What You'll Do Collaboratively identify and agree on digital twin use cases with highest business impact and or efficiency improvement. Create and develop detailed digital twin models for identified physical systems and or assets using modeling software, Io T, and AI technologies. Integrate real-time data from sensors, Io T devices, and other sources into digital twin models. Ensure the accuracy and timeliness of data being used to update the digital twin models. Work with engineers, product developers, and data scientists to align digital twin models with the right business goals. Implement algorithms for simulation, prediction and optimization under different conditions & scenarios. Analyze performance and provide recommendations for prescriptive improvements/optimizations. Communicate insights and findings to stakeholders, making complex concepts accessible to non-technical team members. Monitor the performance of digital twins and update models as physical systems change. Troubleshoot issues with digital twin solutions and improve model accuracy over time. What You'll Bring Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related fields. 3+ years of experience in a similar role within industries like manufacturing, automotive, aerospace, or energy. Experience in cloud platforms (AWS, Azure) for managing large-scale digital twin deployments. Strong understanding of digital twin concepts and applications. Proficiency in simulation software (e.g. Process Simulate, MATLAB, ANSYS, or similar). Experience in Io T, sensors, and real-time data integration. Knowledge of programming languages like Python, C++, or Java for model development. Ability to troubleshoot, model complex systems, and propose solutions based on simulation results. Strong collaboration and communication skills across all levels for effective teamwork and presentation of results to key stakeholders. Experience with data analytics, machine learning, and AI is an added advantage. #J-18808-Ljbffr



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