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Modeling and Simulation Research Scientist

Meta

Modeling and Simulation Research Scientist

Meta

Redmond, WA

·

On-site

·

Full-time

·

1mo ago

Compensation

$117,000 - $117,000

Benefits & Perks

Team events and activities

401(k) matching

Flexible work arrangements

Parental leave

Comprehensive health, dental, and vision insurance

Generous paid time off and holidays

Flexible Hours

Parental Leave

Healthcare

Required Skills

React

JavaScript

Node.js

Lead modeling and simulation efforts to support development of the next generation of XR devices

Modeling and Simulation Research Scientist Responsibilities:

  • Perform Finite Element (FEA) modeling and simulations using Ansys, COMSOL, or similar software (Ansys strongly preferred)
  • Interpret FEA results and provide physical explanations and possible solutions to problems
  • Recommend design changes/directions to meet device performance requirements, participate in team brainstorming and new technology development
  • Perform mechanical design of prototype devices and testbeds
  • Lead model verification and validation. Design data collection/testing methods and plans. Work closely with partner teams to inform model development and validation

Minimum Qualifications:

  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • PhD in Mechanical Engineering, Aerospace Engineering, Chemical Engineering, Materials Science, or similar discipline
  • 3+ years experience in static and dynamic FEA in high volume consumer electronic products
  • Proficiency in developing scripts to automate thermal and mechanical simulations and Optimization
  • Experience with FEA tools (COMSOL or ANSYS)
  • Experience with CAD tools (NX, Solidworks)
  • Proficient in Matlab and Python scripting

Preferred Qualifications:

  • Detail-oriented with critical thinking, structured problem solving, and practical application of Design of Experiments (DOE) and Statistical Analysis (Montecarlo)
  • Experience with end-to-end model development, iterations, and validation
  • Experience in Electronics Reliability, E-CAD/M-CAD File Conversion
  • Experience with scripting for model parameterization (Ansys APDL). Experience with cloud computing, simulation parallelization, automation and GPU acceleration
  • Experience with MEMS Multiphysics Analysis & Reduced Order Modeling a plus
  • Experience with Multi-Disciplinary Optimization is a plus
  • Experience with Multiphysics Topology Optimization is a plus
  • Experience with CFD Analysis is considered a plus
  • Experience with open source FEA tools (Fenics etc.) is a plus
  • Experience with electromagnetics, wireless architecture, RF silicon systems is a plus

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

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 accommodations-ext@fb.com.

$117,000/year to $173,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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About Meta

Meta

Meta

Public

A social technology company that enables people to connect, find communities, and grow businesses.

10,001+

Employees

Menlo Park

Headquarters

$800B

Valuation

Reviews

3.4

26 reviews

Work Life Balance

2.3

Compensation

4.2

Culture

2.8

Career

3.1

Management

2.1

45%

Recommend to a Friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Fast-paced and challenging work environment

Cons

Frequent layoffs and job insecurity

Poor leadership and management accountability

High stress and competitive work environment

Salary Ranges

40,175 data points

Mid/L4

Mid/L4 · Data Scientist

3,113 reports

$284,667

total / year

Base

$179,458

Stock

$79,981

Bonus

$25,228

$193,897

$434,902

Interview Experience

6 interviews

Difficulty

4.2

/ 5

Duration

21-35 weeks

Offer Rate

17%

Experience

Positive 17%

Neutral 17%

Negative 66%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Coding Interviews

6

System Design Interview

7

Behavioral Interview

8

Final Loop/Hiring Manager Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Live Coding