Job description

Meta Reality Labs is seeking a Modeling and Simulation Research Scientist to advance the development of next-generation augmented and virtual reality hardware. In this role, you will apply coupled multiphysics modeling and simulation techniques to accelerate device development and inform the design of electrochemical and electro-mechanical systems for wearable AR/VR devices. You will work at the intersection of device engineering and physics-based simulation, partnering with hardware engineers and cross-functional teams to translate simulation insights into actionable design guidance. Perform coupled electrochemical-mechanical-thermal modeling of electrochemical systems (e.g., batteries, motors) integrated into larger electro-mechanical systems Perform CFD modeling to understand and design fluidic components for AR/VR devices Interpret modeling results and present relevant insights to collaborators, recommending design changes and directions to meet device performance requirements Lead model verification and validation efforts, designing data collection and testing methods and plans Work closely with partner teams to inform model development and validation through iterative collaboration Develop and maintain simulation workflows using FEA tools such as COMSOL or ANSYS to support device design decisions Communicate simulation methodologies, assumptions, and results through written technical reports and cross-functional design reviews PhD in Electrical, Mechanical, Aerospace, or Chemical Engineering, Materials Science, or similar discipline and/or equivalent relevant experience Experience in relevant modeling and simulation techniques including multiphysics (mechanical, thermal, electrochemical, CFD) Experience with end-to-end model development, iterations, and validation Experience with FEA tools such as COMSOL or ANSYS Experience with CAD tools such as NX or Solidworks Proficiency in Matlab and Python scripting Experience with scripting for model parameterization (Ansys APDL), cloud computing, simulation parallelization, automation, or GPU acceleration Experience with CFD Analysis Experience in Electronics Reliability or E-CAD/M-CAD file conversion Experience with open source FEA tools such as FEniCS Experience with critical thinking, structured problem solving, and practical application of Design of Experiments (DOE) and Statistical Analysis (Monte Carlo) Experience simulating batteries and/or motors Experience with Multi-Disciplinary Optimization or Multiphysics Topology Optimization Experience with MEMS Multiphysics Analysis and Reduced Order Modeling

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python

Platform: meta
Effort: medium