Address
Form of workMeta Reality Labs Research (RLR) brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR, which together will become as universal and essential as smartphones and personal computers are today. The Surreal team is looking for the next generation of scientists and engineers to tackle the most ambitious problems in machine perception. The primary role of this internship is to conduct power and performance modeling, and design space exploration for end-to-end AR/VRHardware Systems from next generation machine perception applications in full system context from the device to the datacenter. Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.
- Implementing simulation power and performance models
- Designing and implementing design space exploration experiments
- Profiling, benchmarking, and modeling AR/VR workloads
- Building proof-of-concept prototypes and demonstrations
- Collaboration with researchers across multiple disciplines and teams
- Communication of research agenda, progress and results to a cross-disciplinary team
Minimum Qualifications:
- Currently has, or is in the process of obtaining, a PhD in the field of VLSI, computer-aided design, computer architecture, or related relevant field
- Strong foundational knowledge of hardware and computer architecture concepts
- Strong programming experience with C++ or Python, experience building and operating in large codebases
- Proven track record of strong interdisciplinary research collaborations and delivery of research prototypes
- Must obtain work authorization in the 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
- Experience building end-to-end codesigned systems in hardware such as domain-specific accelerators, CGRAs, SoCs, etc.
- Experience with event-driven simulation and modeling for complex systems
- Experience with or familiarity with at least one or more machine perception/computer vision applications such as simultaneous localization and mapping, visual inertial odometry, scene reconstruction, depth estimation, etc.
- Experience implementing hardware accelerators with RTL and/or HLS
- Experience with deep learning frameworks such as PyTorch
- Experience conducting chip tape out, post-silicon validation, and system integration
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as: ISSCC, VLSI, DATE, DAC, TCAD, ASPLOS, ISCA, MICRO
- Intent to return to degree-program after the completion of the internship
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.
Meta is proud to be an Equal Employment Opportunity and Affirmative 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 accommodations-ext@fb.com.
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 accommodations-ext@fb.com.
