01Key Responsibilities
Design, develop, and maintain scalable and reliable digital twin models for automotive systems, manufacturing processes, and real-world simulations.
Collaborate with cross-functional engineering, manufacturing, and product teams to integrate digital twins into product development and core manufacturing processes.
Analyze digital twin data to identify actionable insights for optimizing manufacturing processes, improving planning efficiency, and enhancing decision-making.
Develop and demonstrate advanced 3D workflows using NVIDIA Omniverse, including complex 3D pipelines and content creation workflows.
Design and develop software technology architecture tailored to business and client requirements across hybrid cloud and on-premise environments.
Utilize GPUs for developing SDKs and full-stack datacenter architecture to support digital twin and AI-based applications.
Monitor emerging trends and technologies in digital twin development, AI, generative AI, cloud computing, and interactive 3D solutions.
Required Skills and Experience:
Proven experience in digital twin development, simulation technologies, or similar AI-driven modeling solutions.
Proficiency in programming languages such as Python, C#, C++, or Java.
Strong understanding of IoT, data analytics, cloud computing, and hybrid cloud environments.
Hands-on experience with machine learning, deep learning, conventional AI, and generative AI technologies.
Experience with NVIDIA Omniverse and 3D content creation workflows.
Knowledge of DCC tools such as 3ds Max, Maya, Revit, Blender, and Substance.
Understanding of the full interactive 3D pipeline, from modeling to application, preferably within manufacturing industries.
Strong passion for manipulating and translating 3D geometry, animation, and materials into code.
Broad technical knowledge across infrastructure requirements, software development, design, and re-engineering.
Strong problem-solving skills, attention to detail, communication skills, and ability to work effectively in a team environment.
Qualifications Educational Qualifications:
Bachelors or Masters degree in Computer Science, Engineering, or a related field.
Additional certifications in AI, Machine Learning, Cloud Computing, Digital Twin, NVIDIA Omniverse, or related technologies would be an added advantage.
Preferred Qualifications Good to Have:
Experience in automotive manufacturing, process simulation, or product development environments.
Exposure to digital transformation initiatives in manufacturing or engineering domains.
Experience in developing software solutions across cloud and on-premise platforms.
Knowledge of GPU-based development, SDK development, and full-stack datacenter architecture.
Experience working with global teams, cross-functional stakeholders, and international engineering projects.
Familiarity with advanced visualization, 3D simulation, and manufacturing process optimization tools.
Why Join Us
Be part of a purpose-driven organization thats shaping the future of mobility.
Work on cutting-edge technologies such as Digital Twin, AI, Generative AI, NVIDIA Omniverse, and advanced 3D simulations.
Contribute to global automotive engineering and manufacturing transformation projects.
Thrive in a collaborative, diverse, and inclusive environment.
Access world-class infrastructure, learning opportunities, and global exposure.
Equal Opportunity Statement:
At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability .
