Research Intern - Silicon Performance Architect (PhD)

Sunnyvale, CA | Redmond, WA

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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 sixteen (16) weeks long and we support various start dates throughout the year.Research Intern - Silicon Performance Architect (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
  • Be able to identify areas of optimization to increase the speed of simulation infrastructure either through code refactoring or code restructuring
  • Carry out performance & power explorations of various architectural components using built performance models (exploration involves 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 (at least C/C++, SystemC is a plus), and scripting (Python)
  • Experience in computer architecture (NoC, DRAM, Cache, MMU) through undergrad/grad course work
  • 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. LocationsAbout 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. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com. $७,३१३/month to $११,३३३/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.
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Tags: APIs Architecture Computer Science Computer Vision Engineering HPC Machine Learning PhD Physics Python Research VR

Perks/benefits: Career development Conferences Equity / stock options Health care Salary bonus

Region: North America
Country: United States

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