Job Description

At Meta’s Reality Labs Research, our goal is to make world-class consumer virtual, augmented, and mixed reality experiences. Come work alongside industry-leading scientists and engineers to create the technology that makes VR and AR pervasive and universal. Join the adventure of a lifetime as we make science fiction real and change the world. As a Computational Chemist at Meta, you will take a critical role in developing/identifying new materials for AR/VR systems. You will focus on developing/utilizing advanced computational models including ab-initio ground state using DFT and excited state calculations using beyond DFT approaches. You will become part of a team exploring novel concepts through design, modeling, and fast iterative prototyping. You will develop and implement the research agenda, publish world-class research works, and make external impact. You will apply high standards to research and develop an ability to identify highly impactful projects in a complex and unexplored domain. You will be able to gain valuable experience in a top-tier research institute, publish academic papers on a regular basis, and build your reputation across the world. Research areas may include Density Functional Theory, molecular dynamics, mesoscale and multiscale simulations.

Computational Chemist - Materials & Devices Responsibilities:

• Perform ab-initio simulations using commercial software like VASP, Gaussian, FHI-aim and/or open-source software packages such as QE, Orca, NWChem, etc. on small molecules.
• Run large scale simulations to build a materials database.
• Prepare input files, run large scale simulations using molecular dynamics for small molecules and polymers utilizing MLPs, and analyze the data and provide insights for material designs.
• Collaborate with XFNs on bridging the gap between microscale and macroscale simulations and develop high fidelity multiscale models.
  
  

Minimum Qualifications:

• PhD degree or equivalent experience in Computational Physics, Computational Chemistry, or a related field.
• 4+ years of experience in developing and utilizing ab-initio models.
• Experience developing coarse-graining potentials for multiscale simulations of atomistic systems.
• Experience coding in C/C++, Python, or other similar languages.
• Experience with Machine Learning including GNNs for material discovery.
• Experience solving analytical problems using analytic and quantitative approaches.
• Experience communicating research to audiences with different backgrounds.
• Research background in electroactive materials (organics and inorganics).
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  
  

Preferred Qualifications:

• Experience developing and using custom DFT codes to calculate mechanical and optical properties of organic materials.
• Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions.
• Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward.
• Experience communicating research for public audiences of peers.
• Experience working and communicating cross functionally in a team environment.
• Experience having first-authored publications at top tier peer-reviewed conferences or journals.
  
  

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 WhatsApp 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.