Job Description Summary

At GE Aerospace, we invent the future of flight, lift people up, and bring them home safely. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. At GE Aerospace, respect for people is core to our culture and commitment to FLIGHT DECK, our proprietary lean operating model. We attract, develop, and retain industry-leading talent from all backgrounds and cultivate communities where people are respected and empowered to reach their fullest potential. For the people of GE Aerospace, their work isn't just a job. It's their passion and purpose. We work and win as one team, accountable to each other and our customers, and we are always finding a better way to climb higher together. We were meant to fly.
As a Principal Optimization Scientist, within Digital and Electrical Systems (DES)- Enterprise Optimization organization you will play a critical role designing and applying optimization-based methods for cyber physical & enterprise systems to a wide array of GE Aerospace's and U.S. government programs. You will collaborate with fellow researchers from a range of technology disciplines, contributing to projects across the breadth of GE Aerospace programs. You will be responsible to interact with stakeholders and translate complex business and cyber-physical & enterprise systems into models; integrate, process, calibrate and validate multimodal data from multiple inputs/sensors; and determine the optimal solutions to achieve desired key performance metrics. You will design, develop and test algorithms and models that may run on HPC, cloud and or supercomputing environments.

Job Description

Roles and Responsibilities

• Handling high-frequency multimodal data from distributed, heterogeneous sensor feeds and integrating sensor fusion, validation, calibration, and mapping techniques with analytics for decision-support
• Developing algorithms for distributed cloud-computing frameworks that solve large-scale problems modeling complex cyber-physical systems
• Collaborating with experts in an interdisciplinary environment to develop theoretical and practical approaches for solving real-world problems
• Work with GE Aerospace business units and government collaborators to develop and grow programs. 
• Shape and lead proposal responses to the GE Aerospace businesses and government agencies.
• Patenting your inventions and develop a record of publication via conferences and peer reviewed journals
• Code quick prototype analytics tools for early phase of software systems production
• Clearly and professionally communicate progress and results of your research with the team, business leaders, customers and technology providers
  
   

Required Qualifications

• Bachelor’s degree in Industrial Engineering, Computer Science or related disciplines with a focus on Mathematical Models, Algorithms and Optimization with a minimum of 15 years of industry experience OR a masters degree in Industrial Engineering, Computer Science or related disciplines with a focus on mathematical programming, algorithms and optimization with a minimum of 10 years of industry experience OR a Ph.D. in Industrial Engineering, Computer Science or related disciplines with a minimum of 7 years of industry experience
• Possession of a US Secret clearance required, active TS-SCI Preferred
• Willingness to travel a minimum of 2 weeks per year
• Must be willing to work out onsite in Niskayuna, NY.
• Strong data handling skills such as acquiring, cleaning, and organizing large multimodal data sets, feature engineering to identify influential predictors, and using analytics to design and improve cyber physical system(s) in distributed and high-performance computing infrastructures 
• Experience in sensor fusion and more general data integration/data fusion techniques and optimization of complex systems
• Demonstrated capability to rapidly develop prototypes of assets being used in processes, connecting assumption and real-time data, post processing analytics for cyber physical systems
• You must submit your application for employment on the careers page at careers.geaersopace.com  to be considered.

Preferred Characteristics

• Theoretical knowledge in one or more of the following areas:
  complexity theory, approximation algorithms, combinatorial optimization, reinforcement learning, statistical signal processing
<