Research Engineer - Mechanical Engineering

Job Description Summary
As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.

Research Engineer in the Mechanical Systems and Design Laboratory, GE Vernova Advanced Research and Development Center will work on the design and development of advanced mechanical components and/or systems for a broad range of current and future GE Vernova products. These are applied in the GE Vernova businesses including Power, Wind, Grid and Digital. GE Vernova Advanced Research and Development Center works on technologies including carbon capture, 100% H2 combustion, Advanced Manufacturing, Next Generation Nuclear, super critical CO2, electric machines, onshore and offshore wind turbines, gas and steam power generation systems, hybrid energy storage.

Job Description

Essential Responsibilities:

• Responsible for the design, analysis, and testing of machinery components and systems including conceptual design, detailed design, testing, validation, and product implementation.
• Work with other support functions and/or external suppliers to meet project deliverables.
• Prepare and participate in project and technical reviews.
• Provide expertise to resolve technical challenges across the organization.
• Participate in technology road mapping and competitive assessment to drive new technology programs.
• Work with internal and external collaborators in developing new project proposals and initiatives.
• Stay connected with industry and university trends, helping GE Vernova stay current with new technologies in the areas of mechanics, scientific machine learning, soft robotics, and materials design.
• Provide technical guidance and direction across the group to grow overall technical capability and product knowledge in technical focus areas.
• Provide technical development across the organization through effective coaching/mentoring.
• Foster a multidisciplinary and inclusive team environment.

• PhD in Mechanical Engineering, Aerospace Engineering, or related disciplines OR MS in Mechanical Engineering, Aerospace Engineering, or related disciplines with a minimum of 3 years of industrial experience.
• Strong background in solid mechanics, fluid mechanics, mechanical behavior of materials with a minimum of 2 years experience.
• Demonstrate strong technical skills in mathematical modeling and finite element analysis with a minimum of 2 years experience.
• At least 2 years of experience in using 3D solid modeling software (i.e. Unigraphics/Solidworks/ProE/CATIA).
• At least 2 years of experience in Matlab or similar numerical computing tool.

• Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Masters level for employment visas, now or in the future, for this job opening
• Must be willing to work out of an office located in Niskayuna, NY.
• Must be 18 years or older.
• You must submit your application for employment on the careers page at https://careers.gevernova.com/ to be considered.

• Execution mindset and sense of urgency.
• Interpersonal, leadership and communication skills in a global team environment.
• Ability to work under pressure and meet deadlines.
• System modeling - Coupling of fluid, thermal & structural analyses.
• Experience in conceiving, developing, and carrying out experiments in component hardware and transferring component level tests into full scale hardware solutions is a plus.
• Knowledge or experience in machine learning theory and practice and emerging research trends in scientific machine learning with applications in mechanics, materials design, manufacturing, and inspection.
• Knowledge or Experience with materials and manufacturing techniques used in soft robotics
• Knowledge or experience with materials and manufacturing methods for electromechanical system components including alloys and coatings as well as grinding, finishing and hardening methods is a plus.
• Strong interpersonal skills; Ability to work across all functions/levels as part of a team.
• Excellent written and verbal communication skills.
• Participate and contribute to decisions and manages conflicting priorities in a fast-paced environment. Must be able to take ownership of issues and drive solutions.