Boeing Engineering & Technology Innovation, Graduate Researcher Program – Computational Fluid Dynamics Intern

Boeing•Huntington Beach, CA

3d•Onsite

About The Position

Boeing Engineering & Technology Innovation (E&TI) is seeking PhD students for its exclusive Graduate Researcher Program (GRP) during the Summer of 2027. The GRP is a 10-12 week internship program designed to provide students with real-world industry work experience combined with development programming. The program aims to deeply connect students to their team and Boeing, with the goal of offering a full-time position upon completion of academic studies if a mutual fit is achieved. The work done at Boeing can be related to the student's area of study but cannot contribute to their PhD thesis. The Aerosciences Group is specifically looking for an Aerodynamics Engineering intern to join their team in Huntington Beach, California. This team focuses on developing and applying advanced aerodynamic analysis tools and processes for a wide range of flight platforms and flight regimes. Their work covers the entire product lifecycle of Boeing's commercial and military aircraft and advanced vehicle concepts.

Requirements

Completed the first year of PhD studies by July 2027
Pursing a PhD in Aeronautical or Mechanical Engineering (with emphasis on Fluid Dynamics)
Ability to work full-time for 10-12 weeks during Summer 2027
Able to perform CFD applications and code developments
Strong communication skills and able to work with a team or individually as required.
Capable of analyzing aerodynamic flow-field and extracting engineering data
Background in scientific programming and code development (C, FORTRAN, and/or C++)
Must meet U.S. export control compliance requirements. A “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Nice To Haves

Familiarity with Linux/Unix
A strong fluid dynamics background is desired in compressible flows and turbulence modeling
Fundamental knowledge of computational fluid dynamics
Background in range of numerical methods appropriate for unstructured or structured grid CFD
Strong knowledge of laminar-turbulent flow transition mechanics, and ability to develop computational methods relating to transition mechanisms.

Responsibilities

Development of aerodynamic analysis and optimization tools and processes with the goal of increasing fidelity while reducing cycle time and cost.
Work with CFD developer partners in our team based out of Seattle and St Louis, to develop CFD prediction capability for laminar-turbulent transition.