Robotics Physics Simulation Intern

Meta; Redmond; On-site; AUD 34,000 - 55,000; Full time

Job summary

Meta Reality Labs Research is seeking an intern to help develop next-generation physics simulators for robotics. The role focuses on physics simulations, computational mechanics, and robotics training to improve simulation-based training for control policies in dexterous manipulation.

Internships run 12 to 24 weeks with multiple start dates. Candidates should be pursuing a PhD in relevant fields and have strong experience in C++/Python, CUDA, and PyTorch, with demonstrated research output and

Qualifications

• Research skills involving defining problems, exploring solutions, and analyzing and presenting results
• Experience implementing numerical methods and/or deep learning models in a large-scale code
• Proficient in C++ and/or Python
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as SIGGRAPH, NeurIPS, ICML, ICLR, or similar
• Experience with high performance/parallel computing (e.g. CUDA)
• Experience with training deep learning models and familiarity with tools like PyTorch
• Experience working and communicating cross functionally in a team environment
• Intent to return to degree program after the completion of the internship/co-op
• Availability for minimum 16 consecutive week internship

Skills

Research skills

Numerical methods

Deep learning

C++

Python

Cross-functional teamwork

Academic intent

16 weeks internship

Education

PhD in computer science, graphics, computational mechanics, ML, computational mathematics or relevant field

Tools

CUDA

PyTorch

Job description

Meta Reality Labs Research is seeking an intern to help develop next-generation physics simulators for robotics. The role focuses on physics simulations, computational mechanics, and robotics training to improve simulation-based training for control policies in dexterous manipulation.

Internships run 12 to 24 weeks with multiple start dates. Candidates should be pursuing a PhD in relevant fields and have strong experience in C++/Python, CUDA, and PyTorch, with demonstrated research output and