AR Subsystem PnP Architect

Reality Labs focuses on delivering Meta's vision through AI-first wearables devices. The compute performance and power efficiency requirements require custom silicon. The Reality Labs wearables 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 our wearables products to blend 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. As a member of the SoC Subsystem Architecture team, you will play a key role in power architecture and modeling. You will analyze key workloads (graphics rendering, display, audio, computer vision, or color imaging) and collaborate with IP architects and execution engineers to architect subsystems that are software-usable, performant and power efficient.

You will also act as a key point-of-contact representing the team with varying internal and external partners in a highly cross-functional environment, owning architectural models for workloads that run on custom silicon platforms.

• Lead technical analysis and optimization efforts for SOC subsystem design elements, utilizing data from simulation and hardware validation platforms
• Develop Proof of Concept and Demo platforms to shift-left use-case bring-up, silicon system architecture analysis and pinpoint bottlenecks
• Conduct analysis and optimization of SOC subsystems to achieve optimal power, performance, and area (PPA) targets
• Drive architectural analysis for current and future workloads to inform SOC subsystem design decisions and roadmap planning
• Collaborate with cross-functional teams to deliver technical documentation, architectural specifications, and performance models for SOC implementations

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• 2+ years of experience with bare-metal programming, embedded FW, micro-benchmarking across pre and post silicon
• Experience in creating prototypes and proof of concept for demos
• Experience with post-silicon to pre-silicon power and performance correlation and trace analysis
• Experience with developing and utilizing telemetry solutions to analyze and profile workloads
  
  Knowledgeable in SoC system design principles and evaluating architectural trade-offs across key performance metrics including power, performance and area
• Knowledgeable in low power architecture principles

• Experience in at least one relevant area:
  Camera Sensors, Audio, Display, Rendering, Computer Vision, or Imaging
• Experience performing workload analysis for power across a range of relevant workloads, including next-generation applications
• Experience leading the analysis and configuration of subsystem memory hierarchy for optimal PPA
• Experience deconstructing a problem, designing performance experiments, analyzing and visualizing data, and drawing conclusions for modeling and subsystem architecture
• Demonstrated experience developing and maintaining power models for accelerator sub-systems
• Experience collaborating with cross-functional partners to produce comprehensive documentation and modeling for workloads executed on accelerator sub-systems

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 Whats App 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.

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