Hybrid Senior Lead Engineer – Digital Engineering

at RTX

• Job title: Senior Lead Engineer – Digital Engineering
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: AWS, Azure, Cloud
• Location requirements: Hybrid, Bengaluru, India

About the role

• Develop and oversee digital twin & PHM framework at Collins Aerospace. Collaborate with stakeholders and validate solutions for aerospace products.

Responsibilities

• Develop solution architecture, design, enhance, and oversee the complete development of digital twin & PHM framework.
• Consult with various stakeholders to identify the best solution & scope of digital twin architecture/PHM for a given business problem & come up with a robust, scalable solution blueprint.
• Stakeholder management, responding to RFPs, and creating proposals.
• Design and realize a digital twin project from end to end, which involves connecting multiple domains.
• Participate in technology discussions across various partners (startup/vendor/university) to define state-of-the-art solution architectures.
• Support the validation of digital twin instances across a variety of platforms (Ex: Azure, AWS).
• Design and implement a digital twin solution eco-system technology roadmap.
• Bring together multiple engineering streams into a comprehensive solution that can be offered to our customers.
• Participate in various technical forums (internal and external), de-mystifying the capabilities of digital twins, to reinforce our position as a strong engineering partner.
• Contribute to the generation of IP related to the topic through patents, papers, publications, etc.

Requirements

• Master’s/ PhD in Computer Science, Electronics, Electrical, Mechatronics, Mathematics or related fields from a reputed institution.
• Overall experience of 6-8 years in the area of Digital Twin and PHM methodology.
• Handson experience in digital twins development.
• Expertise in physics, mathematics, probability, statistics, and algorithms.
• Capability to elicit requirements effectively.
• A solid understanding of AI and ML and the ability to leverage them to solve complex industrial challenges.
• Ability to develop algorithms for a predictive analytics-based asset health monitoring solution.
• Good programming and logical thinking capabilities.
• Good understanding of various public cloud platforms, including Azure, AWS, etc.

Benefits

• Transportation facility.
• Group Term Life Insurance.
• Group Health Insurance.
• Group Personal Accident Insurance.
• Entitled for 18 days of vacation and 12 days of sick leave annually.
• Employee scholar programme.
• Work life balance.
• Car lease programme.
• National Pension Scheme - LTA.
• Fuel & Maintenance /Driver wages.
• Meal vouchers