Modeling and Simulation Research Scientist, Reality Labs Research

Summary:

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.

Required Skills:

Modeling and Simulation Research Scientist, Reality Labs Research Responsibilities:

1. Perform coupled electrochemical-mechanical-thermal modeling of electrochemical systems (e.g., batteries, motors) integrated into larger electro-mechanical systems

2. Perform CFD modeling to understand and design fluidic components for AR/VR devices

3. Interpret modeling results and present relevant insights to collaborators, recommending design changes and directions to meet device performance requirements

4. Lead model verification and validation efforts, designing data collection and testing methods and plans

5. Work closely with partner teams to inform model development and validation through iterative collaboration

6. Develop and maintain simulation workflows using FEA tools such as COMSOL or ANSYS to support device design decisions

7. Communicate simulation methodologies, assumptions, and results through written technical reports and cross-functional design reviews

Minimum Qualifications:

Minimum Qualifications:

1. PhD in Electrical, Mechanical, Aerospace, or Chemical Engineering, Materials Science, or similar discipline and/or equivalent relevant experience

2. Experience in relevant modeling and simulation techniques including multiphysics (mechanical, thermal, electrochemical, CFD)

3. Experience with end-to-end model development, iterations, and validation

4. Experience with FEA tools such as COMSOL or ANSYS

5. Experience with CAD tools such as NX or Solidworks

6. Proficiency in Matlab and Python scripting

Preferred Qualifications:

Preferred Qualifications:

1. Experience with scripting for model parameterization (Ansys APDL), cloud computing, simulation parallelization, automation, or GPU acceleration

2. Experience with CFD Analysis

3. Experience in Electronics Reliability or E-CAD/M-CAD file conversion

4. Experience with open source FEA tools such as FEniCS

5. Experience with critical thinking, structured problem solving, and practical application of Design of Experiments (DOE) and Statistical Analysis (Monte Carlo)

6. Experience simulating batteries and/or motors

7. Experience with Multi-Disciplinary Optimization or Multiphysics Topology Optimization

8. Experience with MEMS Multiphysics Analysis and Reduced Order Modeling

Public Compensation:

$122,000/year to $181,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].