SoC Modeling ASIC Engineer at Meta in Sunnyvale, California

Job Description:

Reality Labs focuses on delivering Meta's vision through Augmented Reality (AR) and Virtual Reality (VR). The compute performance and power efficiency requirements of Virtual and Augmented Reality require custom silicon. Reality Labs Silicon team is driving the state of the art forward with 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/VR devices where our real and virtual world will mix and match throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, to firmware, and algorithms.We are seeking an SoC Modeling ASIC Engineer to support C++/Python modeling and software interfaces of ML, computer vision and other IPs implemented in our SoC pre-silicon platforms containing dedicated hardware accelerators (HWA). The successful candidate will be part of a team that includes algorithm, software, firmware, pre-silicon platforms, and emulation experts. The ideal candidate will understand SoC architecture, ML and CV accelerators, software interface, and mapping software pipelines to the dedicated hardware accelerators.

SoC Modeling ASIC Engineer Responsibilities:

• Analyze the software pipelines and building Infra and tooling to automatically map them to the hardware accelerators


• Work with architecture team to understand the SoC and IP architecture and develop methodology for enabling sw/hw co-design using presilicon platforms


• Use of C/C++ models for architectural modeling, algorithm benchmarking, and mapping software to the hardware accelerators using pre-silicon platforms


• Map AR workloads to heterogeneous ASICs that contain multiple different programmable processors and hardware accelerators. Perform detailed calculations to specify computation throughput, memory bandwidth and latency using pre-silicon models


• Collaborate with cross functional teams working on RTL design, Design Verification, Firmware/Software development, to deliver first pass functional silicon on an aggressive schedule

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.


• Demonstrated knowledge and experience in machine learning and computer vision hardware and software


• Demonstrated experience in mapping software use cases to hardware accelerators and custom silicon


• In-depth understanding of system-on-chip (SoC) architecture, SoC memory hierarchy, and ASIC design flow


• Proficient programming skills in C++ and Python, with the experience to model hardware using software programming languages

Preferred Qualifications:

• Hands-on experience with PyTorch and mapping machine learning models to hardware accelerators in FPGA or virtual prototypes


• Proficiency in performance modeling using SystemC and analyzing the performance of machine learning and computer vision pipelines using pre-silicon models


• Experience in building tool flows and infrastructure for mapping machine learning models to ASICs and custom SoCs

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.

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