AR Subsystem PnP Modeling Architect, Reality Labs

Facebook; Austin (TX); On-site; USD 114,000 - 166,000; Full time

Job summary

A leading internet company in Austin is seeking an experienced performance architect to join the RL subsystem team. You will analyze workloads in graphics rendering and collaborate with cross-functional teams. Candidates should have a Bachelor's degree in a relevant field and at least 2 years of experience in performance modeling with C/C++. This position offers a salary range of $114,000 to $166,000 plus bonuses and equity.

Qualifications

• Bachelor's degree must be completed prior to joining.
• 2+ years of performance modeling experience.
• Experience with System on Chip (SoC) Architecture.

Responsibilities

• Own performance models for system interconnect and memory hierarchy.
• Lead performance bottleneck analysis and configuration of caches.
• Collaborate on documentation and proof of concepts.

Skills

C/C++ programming

Python scripting

Performance modeling

System on Chip Architecture

Memory hierarchy analysis

Low power design principles

Education

Bachelor's degree in Computer Science or Computer Engineering

Job description

Summary:

As a member of the RL subsystem architecture team you will play a key role in performance architecture and modeling. You will analyze our key workloads (graphics rendering, display, audio, computer vision, or color imaging) and collaborate with IP architects and execution engineers to architect subsystems that are SW 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, delivering on proof of concepts for workloads and other significant demands.

Required Skills:

AR Subsystem PnP Modeling Architect, Reality Labs Responsibilities:

• Own performance models for system interconnect, cache, memory hierarchy analysis
• Own Subsystem Network on Chip (NoC) architecture specification, design and characterization
• Lead Intellectual Property (IP) performance bottleneck analysis using traffic traces from pre/post silicon platforms
• Lead analysis and configuration of subsystem caches for optimal performance
• Drive IP latency hiding features and Quality of Service (QoS) recommendations for each compute engine
• Collaborate with various partners to deliver documentation and proof of concepts for workloads running on these subsystems

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 performance modeling experience with programming (C/C++ or SystemC-TLM) and scripting (Python)
• 1+ years of experience evaluating architectural trade-offs in performance key performance metrics
• 1+ years of expertise with post-silicon to pre-silicon correlation analysis
• 1+ years of experience with System on Chip (SoC) Architecture, NoCs, memory subsystems, and heterogeneous compute principles

Preferred Qualifications:

• 2+ years of experience with bare-metal programming, micro-benchmarking, etc
• Exposure to power concepts and low power design principles
• Familiarity with developing and utilizing telemetry solutions to analyze and profile workloads

Public Compensation:

$114,000/year to $166,000/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.