Job Description Summary

Located in Niskayuna, New York, central to the New York Capital District, GE Aerospace Research builds on GE’s 125+ years of industrial research heritage, tackling the most challenging engineering problems through multi-disciplinary teams to deliver innovative technologies. Together, we create and sustain differentiated solutions to maintain competitive advantages for GE Aerospace and our customers.

As a Lead Engineer in The Thermal Management and Systems Laboratory, you work individually and in teams to contribute to the design and validation of power and thermal management systems and systems-of-systems; the design and development of thermal management components; the fabrication and testing of thermal management components; and the integration and testing of power and thermal management systems.

Job Description

At GE Aerospace Research, we invent the future of flight, lift people up and bring them home safely. The Thermal Management and Systems Laboratory at GE Aerospace Research develops innovative solutions that move and convert energy between mechanical, fluid-thermal, and electrical domains. The Thermal Management and Systems Team is multi-disciplinary, bringing together system level thinkers, component and technology subject matter experts, and specialists in project execution and testing to demonstrate innovative power and thermal management systems tailored for our customers’ needs.

Essential Responsibilities

In this role, you will be responsible for one or more of the following:

• Apply your knowledge of heat transfer, fluid mechanics, mechanical design, electrical systems, controls, or systems engineering to develop innovative solutions to control thermal loads in complex aerospace systems such as gas turbine primary and secondary systems, power distribution and other electrical systems, and avionics.

• Collaborate in a multidisciplinary team of GE product engineers, GE Aerospace Research team members, and external partners to invent and mature the next generation of power and thermal management technology.

• Utilize your experience in modeling, simulation, and/or experimentation to characterize and validate novel power and thermal management components and systems.

• Contribute to the development and writing of internal and external proposals

• Establish and grow an external network of collaborators in academia, government, and industry.

• Patent your inventions and develop a record of publication via conferences and peer reviewed journals.

Required Qualifications

• Doctorate degree in Aerospace, Mechanical, or related discipline with 3 years of experience OR Master’s degree in Aerospace, Mechanical, or related discipline with 6 years experience

• Fundamental knowledge in a thermal management related discipline such as heat transfer, fluid mechanics, mechanical design, electrical systems, controls, or systems engineering

• Experience in thermal/energy management systems and/or component development

• Ability to work effectively in a multidisciplinary team

• Due to the nature of the duties of this position, this role requires the individual to have the ability to obtain and maintain US Government Security Clearance; prerequisite for a security clearance is U.S. citizenship. 

• Must be willing to work out of an office located in Niskayuna, NY.

• You must submit your application for employment on the careers page at careers.geaerospace.com to be considered.​

Desired Characteristics

• 6+ years of work experience in an industrial or laboratory setting

  • Knowledge of propulsions applications, hybrid-electric systems, electronics cooling, space power, or high-speed flight vehicles.

  • Excellent communication skills and ability to interface with senior leaders and customers with clarity and confidence

• In-depth knowledge of system modeling and/or systems-of-systems modeling.

  • Experience implementing system models in NPSS, MATLAB Simscape, MATLAB Simulink, Modelica, PROOSIS, GT-Suite, or similar tools.

  • Familiarity with System Engineering Principles and requirements management.

  • Knowledge of AI/ML methods as applied to system optimization, data reduction and reduced order modeling, and predictive methods.

  • Knowledge of model verification and validation, model calibration, and uncertainty quantification.

• In-depth knowledge of component