Meta AR/VR Job | Research Scientist - Computational Mathematics, Physics, & Controls
Job(岗位): Research Scientist - Computational Mathematics, Physics, & Controls
Type(岗位类型): Engineering +1 more
Citys(岗位城市): Redmond, WA +1 locations
Date(发布日期): 2025-1-21
Summary(岗位介绍)
At Reality Labs Research (RL-R), our goal is to explore, innovate and design novel interfaces and hardware subsystems for the next generation of virtual, augmented, and mixed reality experiences.
We are seeking a computational mathematics/physics scientist to join our team within Meta's Reality Lab Research. As a member of our research group, you will play a crucial role in developing a large-scale software library for physics simulations that will drive innovation in robotics and embodied AI applications. You will leverage your knowledge in computational mathematics and physics simulations to design, develop, and optimize simulation tools that will enable the development of controls for embodied agents in the physical world. You'll work closely with a diverse team of researchers and engineers to develop state-of-the-art simulators and is expected to operate across low-level high-performance software development as well as high level architectural design.
Qualifications(岗位要求)
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Ph.D. in Computational Mathematics, Computational Mechanics, Computer Science, or relevant degree and 5+ years experience in large scale computational mathematics/physics software or relevant experience.
5+ years experience with developing high performance computing solutions in C++.
5+ years experience with parallel computing on CPU and GPUs.
5+ years experience with developing physics simulations.
Description(岗位职责)
Lead complex software system integration and development.
Implement state-of-the-art algorithms for numerical linear algebra, PDEs, optimization/dynamic programming/RL.
Collaborate with cross-functional teams to identify and prioritize project requirements.
Develop and maintain high-quality, efficient, and scalable code.
Participate in code reviews and contribute to the development of best practices.
Additional Requirements(额外要求)
Experience with state-of-the-art simulation libraries.
Experience with controls theory and training embodied agents in physical interactions.
Experience with differentiable physics/PDE constrained optimization.
Experience with dimensionality reduction and reduced order modeling.