Digital Twin Developer

As a Digital Twin Developer, you will be responsible for designing, developing, and implementing digital twin models that simulate real-world systems and processes. You will collaborate with cross-functional teams to envision manufacturing process. You would be responsible to optimize manufacturing processes and improve planning efficiency through integration of digital twin in Core Process at MO.

Key Responsibilities:

• Digital Twin Development: Design, develop, and maintain digital twin models for automotive systems, ensuring their scalability and reliability.
• Integration and Collaboration: Work closely with engineering teams to integrate digital twins into product development cycles.
• Data Analysis: Analyze digital twin data to extract actionable insights for optimizing processes.
• Trend Monitoring: Stay informed about the latest trends and technologies in digital twin development.
• 3D Workflows: Develop and demonstrate 3D workflows using NVIDIA Omniverse, with expertise in complex 3D pipelines and content creation workflows.
• GPU Development: Utilize GPUs to develop SDKs and full-stack datacenter architecture.
• Software Architecture: Design and develop software technology architecture tailored to client needs.
• DCC Tools Expertise: Experience with DCC tools such as 3ds Max, Maya, Revit, Blender, and Substance.
• Interactive 3D Pipeline: Knowledge of the full interactive 3D pipeline, from modeling to application, within manufacturing industries.
• DevOps and Cloud: Develop software in hybrid cloud environments, combining cloud and on-prem solutions.
• Data Manipulation: Passion for manipulating and translating 3D geometry, animation, and materials into code.
• Technical Expertise: Broad and deep technical knowledge across infrastructure requirements, development, design, and re-engineering.
• Machine Learning: Familiarity with machine learning and deep learning techniques.
• Generative AI: Understanding of generative AI technologies and implementation.

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• Proven experience in digital twin development or similar simulation technologies.
• Proficiency in programming languages such as Python, C#, C++, or Java.
• Familiarity with IoT, data analytics, and cloud computing.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.