Reality Labs (RL) focuses on delivering Meta's vision through AI-first devices that leverage Mixed Reality (MR) and Augmented Reality (AR). The compute performance and power efficiency requirements of Mixed and Augmented Reality require custom silicon. Reality Labs Silicon team is driving the state of the art forward with highly integrated SoCs that leverage breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR & MR devices that blend our real and virtual worlds throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms. We are seeking research interns with a background in Performance Modeling, Performance Simulation Methodologies, and Computer Architecture to improve our performance modeling collateral and use those models to guide the architecture of AR/MR silicon. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Research Scientist Intern, Silicon Performance Architecture (PhD) Responsibilities

Build APIs and/or custom wrappers to integrate various perf modeling components, develop test suites to formally verify the functionality and performance of the integrated models

Identify areas of optimization to increase the speed of simulation infrastructure either through code refactoring or code restructuring

Conduct performance & power explorations of various architectural components using built performance models (including blocks such as NoC, DRAM, MMUs, etc)

Minimum Qualifications

Currently has, or is in the process of obtaining, a PhD in Computer Science, Electrical Engineering or related field

Experience with programming in C/C++ and Python (scripting)

Experience in computer architecture (NoC, DRAM, Cache, MMU)

Understanding of how to leverage performance modeling to support architectural exploration, with exposure to heterogeneous hardware architectures

Understanding of HW power, performance and area trade offs

Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

Experience working and communicating cross functionally in a team environment

Intent to return to degree-program after the completion of the internship/co-op

Experience in academic computer architecture simulators such as GEM5, SIMICS, etc

Publication track record in computer architecture conferences is a plus - covering areas in high performance computing, memory systems, multi-core and/or accelerator architectures (e.g., ISCA, ASPLOS, MICRO, HPCA, DAC, NOCS, ISPASS, PACT, etc.)

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.

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Research Scientist

Silicon Performance Architecture

Meta

Compensation Overview