About the role
structured by ORIReality Labs focuses on delivering Meta's vision through On-device AI. The compute performance and power efficiency requirements of these workloads require custom silicon.
What you will do
- Develop IP validation infrastructure.
- Bring up, validate, and optimize ML workloads across pre-silicon and post-silicon platforms.
- Improve the functionality, performance, power, and robustness of state-of-the-art ML accelerators.
- Partner cross-functionally with RTL design, verification, emulation, architecture, ML compiler, firmware/runtime, and ML model teams to define validation requirements, debug cross-layer issues, and drive them to resolution.
Full posting text
Reality Labs focuses on delivering Meta's vision through On-device AI. The compute performance and power efficiency requirements of these workloads 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, displays and sensors. Our chips enable On-device AI assistance and personal superintelligence features, contextualized to timing and personalized requirements. We believe the only way to achieve our goals is to look at the entire stack, from transistors to architecture, firmware, and algorithms. As a Machine Learning IP Validation Engineer at Meta Reality Labs, you will use your hardware/software integration, prototyping, emulation, firmware, and hardware validation skills to develop IP validation infrastructure; bring up, validate, and optimize ML workloads across pre-silicon and post-silicon platforms; and improve the functionality, performance, power, and robustness of state-of-the-art ML accelerators. You will partner cross-functionally with RTL design, verification, emulation, architecture, ML compiler, firmware/runtime, and ML model teams to define validation requirements, debug cross-layer issues, and drive them to resolution.