Meta Reality Labs Research is looking to explore methods to push the boundaries of what is possible on form-factor constrained AR/VR devices through full software-hardware co-design of always-on algorithms.
Requirements
2+ years of research experience in one or more of the following: machine learning accelerators or inference engines for deep neural networks (DNN), computer architecture for mobile or embedded systems (ARM/RISC-V ISA), deployment of computer vision algorithms on embedded systems
Experience with deep learning frameworks (Pythorch, Tensorflow, etc.)
Proficient with Python/C/C++
Experience developing or optimizing CV and ML algorithms for vision tasks
Experience in system modeling for all aspects of a digital system
Proficiency in hardware description languages, including SystemVerilog (preferred), Verilog, VHDL, and Chisel, with experience in designing, simulating, and implementing digital systems
Experience with FPGA design, development, and implementation using industry-standard tools (e.g., Xilinx Vivado)
Responsibilities
Support architecture studies, performance analysis, and design studies
Participate in research activities focused on edge compute architecture
Other
Currently has or is in the process of obtaining a PhD in the fields of Electrical Engineering, Computer Engineering, Computer Science, or related field
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Intent to return to the degree program after the completion of the internship/co-op
Individual compensation is determined by skills, qualifications, experience, and location
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer
