Jobs via Dice
Technology Manager - Computational Modeling & Simulation
Jobs via Dice, Niskayuna, New York, United States
Technology Manager - Computational Modeling & Simulation
Aerospace Research plays a vital role in supporting the aviation industry through a historic recovery while shaping the future of flight. We invent the future of flight, lift people up and bring them home safely. Our commitment to lead the industry, keep safe the flying public and the armed forces, and lift up one another and our communities remains our north star. Our purpose ties us to one another and gives meaning to our work. We seek a talented Computational Modeling & Simulation Technology Manager who is a passionate people leader and experienced researcher. If you thrive on developing teams, coaching individuals, and delivering technical innovations in computational modeling, simulation, and design methods development for future aerospace products, this opportunity is for you.
Job Description As the Computational Modeling & Simulation Technology Manager, you will grow a world‑class team of researchers, drive the technology strategy, ensure operational excellence, and support GE Aerospace business, government customers, and strategic partners.
In this role you will partner with the Technology Director of Aero Thermal and Mechanical Systems to lead a team that innovates advances in computational fluid dynamics, reduced order modeling, and design methods for propulsion technologies and related aerospace systems. The team focuses on the latest computational methods, high‑performance computing architectures, AI/ML, and commercial or in‑house tools to define, design, and develop advanced computational capabilities that enable performance and durability improvements for today, tomorrow, and future products.
Essential Responsibilities
Lead a team of subject matter experts in computational fluid dynamics, computational modeling, design and optimization methods focused on aerodynamics, combustion, heat transfer, and multiphase flow at various experience levels.
Drive EHS safety standard operating procedures and best practices, security compliance, and collaborate with leaders and technologists across GE Aerospace Research to continuously improve safety culture and compliance.
Partner to develop the vision, strategy, and roadmaps for computational modeling and simulation in the aerospace ecosystem leveraging internal and external computational capacity and capability.
Drive integration of artificial intelligence, machine learning, uncertainty quantification and related computational sciences into the modeling and simulation tools and methods to achieve technical differentiation and innovation for future aerospace applications.
Build a culture of bias towards action and implement rigorous operational excellence to identify and mitigate risks, and support root cause/corrective action plans when necessary, while driving continuous improvement through standard work, key performance indicators, and process improvements.
Develop and coach team members on career paths, project management, Lean principles, and more.
Champion an open and collaborative environment to foster cross‑discipline teaming.
Establish and grow strategic relationships with GE Aerospace partners and the external academic and government community.
Recruit, hire, and attract diverse world‑class technical talent.
Actively participate and contribute to the GE Aerospace Research people leadership community helping build a culture of collaboration and innovation.
Required Qualifications
Master's degree in engineering, physics, or a related discipline with a minimum of seven years of experience in code development and the application of computational fluid dynamics, finite element analysis, or a closely related simulation method to address aerospace‑relevant challenges.
Demonstrated track record of championing compliance and safety practices.
Experience with computational modeling and simulation code and/or methods development of computational fluid dynamics or finite element analysis in a high‑performance compute environment.
Demonstrated technical project leadership capability with ability to build, lead, and energize cross‑functional teams in high‑impact technologies.
Demonstrated commitment to continuous improvement and learning.
Demonstrated ability to coach and mentor technical talent at all experience levels.
Demonstrated ability to influence at senior levels of an organization.
Demonstrated ability to achieve operational excellence.
Desire and ability to actively recruit top talent with diverse backgrounds.
Willingness to obtain active US Government Secret Clearance with ability to attain a Top‑Secret Clearance; prerequisite for a security clearance is U.S. citizenship.
Must be willing to work out of an office located in Niskayuna, NY.
Desired Characteristics
Doctorate in a relevant technical discipline.
Established network across industry, academia, and government labs with participation in relevant professional societies.
Engineering expertise in one or more technical disciplines to include aerodynamics, combustion, heat transfer, and/or multiphase flows.
Experience with advanced CFD tools including modern RANS and LES solvers.
Experience with high performance computing in a DOD and/or DOE computing environment.
Experience with multidisciplinary optimization tools and methods.
Experience with uncertainty quantification applied to large‑scale computations.
Experience with AI/ML methods applied to large‑scale simulations.
Knowledge of gas turbine propulsion applications and related aerospace systems.
Excellent written and verbal communication skills.
Excellent interpersonal skills and proven ability to inspire excellence and stimulate change.
Strong ability to work in multi‑business environment and develop technology roadmaps.
Working knowledge of the GE Aerospace business and the aerospace industry.
Passion for aerospace applications and innovation of enabling technologies.
Ability to work across all functions/levels as part of a team.
Ability to work under pressure and meet deadlines.
Compensation The base pay range for this position is $130,000 - $240,000 USD annually. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary.
Benefits Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse‑based resource; and access to the Employee Assistance Program. Retirement benefits include the GE Retirement Savings Plan, a tax‑advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants.
Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time‑off for vacation or illness.
Relocation Assistance Provided Yes
Employment Type Full‑time
Seniority Level Mid‑Senior level
Location Niskayuna, NY
EEO Statement GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
#J-18808-Ljbffr
Job Description As the Computational Modeling & Simulation Technology Manager, you will grow a world‑class team of researchers, drive the technology strategy, ensure operational excellence, and support GE Aerospace business, government customers, and strategic partners.
In this role you will partner with the Technology Director of Aero Thermal and Mechanical Systems to lead a team that innovates advances in computational fluid dynamics, reduced order modeling, and design methods for propulsion technologies and related aerospace systems. The team focuses on the latest computational methods, high‑performance computing architectures, AI/ML, and commercial or in‑house tools to define, design, and develop advanced computational capabilities that enable performance and durability improvements for today, tomorrow, and future products.
Essential Responsibilities
Lead a team of subject matter experts in computational fluid dynamics, computational modeling, design and optimization methods focused on aerodynamics, combustion, heat transfer, and multiphase flow at various experience levels.
Drive EHS safety standard operating procedures and best practices, security compliance, and collaborate with leaders and technologists across GE Aerospace Research to continuously improve safety culture and compliance.
Partner to develop the vision, strategy, and roadmaps for computational modeling and simulation in the aerospace ecosystem leveraging internal and external computational capacity and capability.
Drive integration of artificial intelligence, machine learning, uncertainty quantification and related computational sciences into the modeling and simulation tools and methods to achieve technical differentiation and innovation for future aerospace applications.
Build a culture of bias towards action and implement rigorous operational excellence to identify and mitigate risks, and support root cause/corrective action plans when necessary, while driving continuous improvement through standard work, key performance indicators, and process improvements.
Develop and coach team members on career paths, project management, Lean principles, and more.
Champion an open and collaborative environment to foster cross‑discipline teaming.
Establish and grow strategic relationships with GE Aerospace partners and the external academic and government community.
Recruit, hire, and attract diverse world‑class technical talent.
Actively participate and contribute to the GE Aerospace Research people leadership community helping build a culture of collaboration and innovation.
Required Qualifications
Master's degree in engineering, physics, or a related discipline with a minimum of seven years of experience in code development and the application of computational fluid dynamics, finite element analysis, or a closely related simulation method to address aerospace‑relevant challenges.
Demonstrated track record of championing compliance and safety practices.
Experience with computational modeling and simulation code and/or methods development of computational fluid dynamics or finite element analysis in a high‑performance compute environment.
Demonstrated technical project leadership capability with ability to build, lead, and energize cross‑functional teams in high‑impact technologies.
Demonstrated commitment to continuous improvement and learning.
Demonstrated ability to coach and mentor technical talent at all experience levels.
Demonstrated ability to influence at senior levels of an organization.
Demonstrated ability to achieve operational excellence.
Desire and ability to actively recruit top talent with diverse backgrounds.
Willingness to obtain active US Government Secret Clearance with ability to attain a Top‑Secret Clearance; prerequisite for a security clearance is U.S. citizenship.
Must be willing to work out of an office located in Niskayuna, NY.
Desired Characteristics
Doctorate in a relevant technical discipline.
Established network across industry, academia, and government labs with participation in relevant professional societies.
Engineering expertise in one or more technical disciplines to include aerodynamics, combustion, heat transfer, and/or multiphase flows.
Experience with advanced CFD tools including modern RANS and LES solvers.
Experience with high performance computing in a DOD and/or DOE computing environment.
Experience with multidisciplinary optimization tools and methods.
Experience with uncertainty quantification applied to large‑scale computations.
Experience with AI/ML methods applied to large‑scale simulations.
Knowledge of gas turbine propulsion applications and related aerospace systems.
Excellent written and verbal communication skills.
Excellent interpersonal skills and proven ability to inspire excellence and stimulate change.
Strong ability to work in multi‑business environment and develop technology roadmaps.
Working knowledge of the GE Aerospace business and the aerospace industry.
Passion for aerospace applications and innovation of enabling technologies.
Ability to work across all functions/levels as part of a team.
Ability to work under pressure and meet deadlines.
Compensation The base pay range for this position is $130,000 - $240,000 USD annually. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary.
Benefits Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse‑based resource; and access to the Employee Assistance Program. Retirement benefits include the GE Retirement Savings Plan, a tax‑advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants.
Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time‑off for vacation or illness.
Relocation Assistance Provided Yes
Employment Type Full‑time
Seniority Level Mid‑Senior level
Location Niskayuna, NY
EEO Statement GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
#J-18808-Ljbffr