AR Subsystem PnP Architect Job Redmond area,Washington USA,Engineering

Summary

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.

Required

Skills AR Subsystem PnP Architect Responsibilities

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

Minimum Qualifications

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

Preferred Qualifications

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

Public Compensation

$114,000/year to $172,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

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

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