- Develop, implement, and test novel numerical methods for the interactive simulation of soft deformable bodies, fluids and physics-based sound to enable realistic virtual interactions.
- Develop and implement numerical methods for numerical optimization, numerical linear algebra, numerical PDEs and AI/ML, as well as performing analysis on these methods.
- Implement and optimize the methods devised in a larger software infrastructure, and collaborate with research scientists and software engineers to build demos and experiences based upon the developed tools.
- Currently is 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 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 with game engines (e.g. Unreal Engine).
- 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.
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