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Research Scientist Intern, Edge Compute Architectures

United States, Burlingame 7313.00 - 12134.00 USD / Month · Job Posted February 19, 2026
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Job Description

Meta Reality Labs Research is looking for emerging scientists and researchers with interest in full software-hardware co-design of always-on algorithms being deployed on form-factor constrained AR/VR devices. The main objective of this research is to explore methods to push the boundaries of what is possible on our constrained platforms. Our internships are sixteen (16) to twenty-four (24) weeks long and we have various start dates throughout the year.

Job Responsibility

  • Support architecture studies, performance analysis, and design studies
  • Participate in research activities focused on edge compute architecture

Requirements

  • 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
  • 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++

Nice to have

  • 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)
  • Experience with EDA tools for simulation, synthesis, place and route, and power analysis (e.g., ModelSim, Synopsys Design Compiler, Cadence Innovus, Synopsys PrimeTime)
  • Proven track record of achieving significant results as demonstrated by grants, or fellowships, as well as first-authored publications in major conferences and journals such as ICCAD, DAC, ISCA, MICRO, HPCA, ISSCC, TinyML, IEDM, VLSI Symposium, ASPLOS, JSSC, TCAS
  • Intent to return to the degree program after the completion of the internship/co-op
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