Research Scientist Intern, Silicon Performance Architecture; PhD
Listed on 2026-03-11
-
Engineering
Systems Engineer, Computer Science
Summary:
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)
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
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.)
$7,313/month to $12,134/month + benefits
Industry:Internet
Equal Opportunity:Meta is proud to be an Equal Employment Opportunity and affirmatively action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).