Mechanical Engineering Intern

Meta•Menlo Park, CA

1d•$6,688 - $11,880

About The Position

Meta is seeking a graduate mechanical engineering student with a strong background in finite element analysis (FEA) to join our Accelerator Reference Design (ARD) team. ARD designs and delivers production-quality accelerator modules for Meta's custom AI silicon (MTIA), covering board design, power delivery, thermal-mechanical design and module management hardware. As the team grows its in-house design and simulation capabilities, this intern will run the structural simulations that guide the mechanical design of our high-power, liquid-cooled modules. You'll work closely with mechanical, thermal, packaging and electrical engineers.

Requirements

Currently pursuing a Master's or PhD degree in Mechanical Engineering
Hands-on experience with ANSYS (Mechanical or Workbench) for structural FEA, through coursework, research or projects
Solid foundation in solid mechanics, strength of materials and material behavior
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Intent to return to full-time degree program after completion of the internship

Nice To Haves

Experience with thermo-mechanical, warpage or composite/laminate (e.g. PCB) modeling
Experience correlating simulation with physical test data
Experience bringing ECAD/MCAD data into FEA models
Familiarity with 3D CAD (Creo preferred, SolidWorks acceptable) for geometry cleanup and simplification
Scripting or automation experience (e.g. Python, APDL) for parametric studies or post-processing
Strong analytical, technical writing and communication skills

Responsibilities

Build, mesh and run structural FEA models in ANSYS of accelerator modules, PCBs and mechanical hardware such as stiffeners and cold plates.
Simulate mounting and preload, assembly, gravity and handling loads to evaluate stress, strain and deflection against design criteria.
Run warpage simulations at room and elevated temperatures for bare boards, populated boards and full assemblies.
Run design-of-experiment and parametric studies (geometry, thickness, material) to support design trade-offs.
Correlate simulation results with lab test data (e.g. shadow moiré, strain gauge) and refine models to improve accuracy.
Document assumptions, boundary conditions and results in clear reports, and present findings and recommendations to the ARD team.