Meta AR/VR Job | Research Scientist Intern, AR/VR Hardware Systems (PhD)
Job（岗位）: Research Scientist Intern, AR/VR Hardware Systems (PhD)
Type（岗位类型）: Computer Vision
Citys（岗位城市）: Redmond, WA
Date（发布日期）: 2023-12-20
Summary（岗位介绍）
Meta Reality Labs Research (RLR) brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR, which together will become as universal and essential as smartphones and personal computers are today. The Surreal team is looking for the next generation of scientists and engineers to tackle the most ambitious problems in machine perception. The primary role of this internship is to conduct power and performance modeling, and design space exploration for end-to-end AR/VR hardware systems from next generation machine perception applications in full system context from the device to the datacenter. Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.
Qualifications（岗位要求）
Currently has, or is in the process of obtaining, a PhD in the field of VLSI, computer-aided design, computer architecture, or related relevant field
Strong foundational knowledge of hardware and computer architecture concepts
Strong programming experience with C++ or Python, experience building and operating in large codebases
Proven track record of strong interdisciplinary research collaborations and delivery of research prototypes
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Description（岗位职责）
Implementing simulation power and performance models
Designing and implementing design space exploration experiments
Profiling, benchmarking, and modeling AR/VR workloads
Building proof-of-concept prototypes and demonstrations
Collaboration with researchers across multiple disciplines and teams
Communication of research agenda, progress and results to a cross-disciplinary team
Additional Requirements（额外要求）
Experience working and communicating cross functionally in a team environment
Experience building end-to-end codesigned systems in hardware such as domain-specific accelerators, CGRAs, SoCs, etc.
Experience with event-driven simulation and modeling for complex systems
Experience with or familiarity with at least one or more machine perception/computer vision applications such as simultaneous localization and mapping, visual inertial odometry, scene reconstruction, depth estimation, etc.
Experience implementing hardware accelerators with RTL and/or HLS
Experience with deep learning frameworks such as PyTorch
Experience conducting chip tape out, post-silicon validation, and system integration
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as: ISSCC, VLSI, DATE, DAC, TCAD, ASPLOS, ISCA, MICRO
Intent to return to degree-program after the completion of the internship
