Company
Manufacturing
DigitalTwinDeveloper
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Digital Twin Developer. Skills: Digital Twin Development, 3D Workflows, GPU Development, Software Architecture. Design digital twin models. Develop digital twin models”
What You'll Achieve.
Optimize manufacturing processes; Improve planning efficiency
Industry & Context.
Problem-solving skills
What They're Looking For.
Must Have
Bachelor's degree in computer science, Proven experience in digital twin development, Proficiency in Python, Proficiency in C#, Proficiency in C++, Proficiency in Java, Familiarity with IoT, Familiarity with data analytics, Familiarity with cloud computing, Problem-solving skills, Attention to detail
Nice to Have
Master's degree in computer science, Experience with complex 3D pipelines, Experience with content creation workflows
What You'll Do.
Design digital twin models
Develop digital twin models
Maintain digital twin models
Integrate digital twins
Analyze digital twin data
Extract actionable insights
Demonstrate 3D workflows
Develop datacenter architecture
Design software technology architecture
Develop software architecture
Manipulate 3D geometry
Translate 3D geometry into code
Translate animation into code
Translate materials into code
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams
Communication Scope
Excellent communication
Full Job Description
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 ma
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