Digital Twin Architect – Jet & Cryogenic Engines

Scope of Work

We are seeking a passionate and visionary Digital Twin Architect to lead the design and implementation of multi-physics digital twins and digital threads for next-generation combat jet engines and cryogenic propulsion systems. You will architect and manage end-to-end virtual representations of physical systems, enabling predictive maintenance, performance optimization, system simulation, and lifecycle management across real-time and historical data.

Nature of Work

• Design and integration of digital twin models for turbomachinery components (blades, shafts, combustors, actuators, sensors, etc.)
• Development of a scalable architecture for digital threads from design to in-service operation
• Integrating real-time sensor data with physics-based and AI/ML models
• Close collaboration with design engineers, FADEC teams, thermal and structural simulation experts
• Implementation of cloud-based monitoring systems and twin analytics dashboards
• Cybersecurity, data integrity, and reliability analysis for digital twin environments
• Involvement in closed-loop digital feedback systems for adaptive control and system tuning

Job Requirements

• B.E./B.Tech or M.E./M.Tech in Computer Science, Aerospace, Mechanical, Data Science, or equivalent
• 5+ years of experience in developing digital twin systems in aerospace, automotive, or high-precision domains
• Strong understanding of system modeling using tools like Modelica, MATLAB/Simulink, ANSYS Twin Builder, or Siemens Twin
• Proficiency in one or more programming languages: Python, C++, JavaScript (Node.js)
• Experience with IoT data pipelines, OPC UA, MQTT, and cloud platforms like AWS, Azure, or GCP
• Hands-on knowledge of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Familiarity with digital twin standards such as DTDL, Asset Administration Shell, and SysML/UML
• Excellent problem-solving, documentation, and cross-domain communication skills

Eligibility

• Indian nationals or those eligible to work in India
• Enthusiasm for high-performance engineering and AI-augmented design
• Experience in aerospace or defense sectors is highly preferred
• PhD holders or researchers in digital twin frameworks are encouraged to apply