Meta’s mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Meta are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. 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.

Research Scientist Intern, Edge Compute Architectures (PhD) Responsibilities

Support architecture studies, performance analysis, and design studies

Participate in research activities focused on edge compute architecture

Minimum Qualifications

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++

Preferred Qualifications

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

For those who live in or expect to work from California if hired for this position, please click here for additional information.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

$7,313/month to $12,134/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Research Scientist

Edge Compute Architectures

Meta

Compensation Overview