About the Role

This is a PhD internship role at Meta Reality Labs Research focused on developing next-generation interactive physics simulators for MR/VR applications. The intern will work on novel numerical methods for simulating soft bodies, fluids, and physics-based sound, integrating AI/ML for acceleration.

Key Responsibilities

• Develop, implement, and test novel numerical methods for interactive simulation of soft deformable bodies, fluids, and physics-based sound
• Develop and implement numerical methods for numerical optimization, linear algebra, PDEs, and AI/ML, with analysis
• Implement and optimize methods in a larger software infrastructure
• Collaborate with research scientists and software engineers to build demos and experiences

Required Skills & Qualifications

Must Have:

• Currently in the process of obtaining a PhD in Computer Science, Computer Graphics, Computational Mechanics, Machine Learning, Computational Mathematics, or a relevant technical field
• Research skills involving defining problems, exploring solutions, and analyzing and presenting results
• Experience implementing numerical methods and/or deep learning models in large-scale code
• Proficient in C++ and/or Python
• Must obtain work authorization in the country of employment at hire and maintain it during employment

Nice to Have:

• Proven track record of significant results via grants, fellowships, patents, or first-authored publications at leading conferences (e.g., SIGGRAPH, NeurIPS, ICML, ICLR)
• Experience with high performance/parallel computing (e.g., CUDA)
• Experience with training deep learning models and familiarity with tools like PyTorch
• Experience with game engines (e.g., Unreal Engine)
• Experience working and communicating cross-functionally in a team environment
• Intent to return to degree program after internship
• Availability for minimum 16 consecutive week internship