Hardware Accelerator Modeling Engineer
Meta

Job Info

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 a C Modeling Engineer to support C modeling and software interfaces of ML, computer vision and other IPs implemented in our SoC pre-silicon platforms containing dedicated hardware accelerators (HWA). The 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, hardware accelerators, software interface, and mapping software pipelines to the dedicated hardware accelerators.

Hardware Accelerator Modeling Engineer Responsibilities:

• C/C++ programming for IP modeling, algorithm benchmarking, and mapping software to the hardware accelerators for pre-silicon platforms
• Analyze the software pipelines and building Infra and test plan to validate the C model using golden software pipeline
• Work with architecture team to understand the SoC and IP architecture and develop methodology for enabling sw/hw co-design using pre silicon platforms
• Collaborate with cross functional teams working on RTL design, Design Verification, Firmware/Software development, to deliver custom silicon for AR products

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 5+ years of experience modeling hardware using C programming language and proficient programming skills in C++.
• Demonstrated experience in mapping software use cases to hardware accelerators and custom silicon
• Understanding of system-on-chip (SoC) architecture, IP C modeling and ASIC design flow

Preferred Qualifications:

• Demonstrated knowledge and experience in machine learning and computer vision hardware and software
• Experience in RTL DV (Design Verification) with strong C modeling skills
• Proficiency in performance modeling using SystemC and analyzing the performance of computer vision pipelines using pre-silicon models

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