Silicon Performance Architect, Reality Labs

Meta

Sunnyvale (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Meta Reality Labs is seeking an experienced Architect for the SoC Performance team in Sunnyvale, CA. You will lead performance modeling, workload profiling, and analysis to guide next-generation AI-enabled wearables.

The role requires deep expertise in SoC architecture, NoCs, memory subsystems, QoS, and HW-SW co-design, with strong scripting in Python. You will work across disciplines with vendors and internal teams to develop accurate models, run experiments, and communicate complex results

Qualifications

  • 8+ years of experience creating performance models using C/C++ or SystemC.
  • Experience with SoC architecture, NoCs, memory sub-system, QoS, and heterogeneous compute principles.
  • Proficiency in Python for automation and data visualization.
  • Experience with cycle-accurate performance models and HW-SW co-design.

Responsibilities

  • Conduct bottleneck analysis of existing and future SoCs to identify optimization opportunities.
  • Develop accurate models of IP components, SoC fabric, and DRAM to inform design decisions.
  • Analyze system workloads and create micro-benchmarks to evaluate performance.
  • Collaborate with hardware teams to optimize HW-SW co-design and drive measurable improvements.

Skills

Performance modeling
C/C++
SystemC
Python
SoC architecture
NoCs
QoS
Hardware-software co-design
Data analysis
RTL design verification

Education

Bachelor's or MS in EE/CS

Job description

About

Reality Labs focuses on delivering Meta's vision through creating advanced AI-enabled wearables. The compute performance and power efficiency requirements of wearables require custom silicon. The custom silicon team within Reality Labs is driving the state-of-the-art forward with breakthrough work in AI, augmented reality, computer vision, machine learning, graphics, displays, and sensors. Our chips will enable wearable 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, firmware, and algorithms.As an architect on the the SoC Performance team within Reality Labs, you will play a key role in leading performance modeling, correlation, workload profiling, and analysis efforts.

Responsibilities
  • Conduct thorough bottleneck analysis of existing and future SoCs to identify areas for improvement
  • Develop accurate models of IP components, SoC fabric, and DRAM to predict performance and inform design decisions
  • Analyze system usage behavior of workloads and create micro-benchmarks to evaluate performance
  • Identify opportunities for optimization and collaborate with hardware teams to solidify HW-SW co-design
  • Work across disciplines, collaborate with vendors, brainstorm ideas and solutions, develop new methodologies, and coordinate multiple initiatives
Minimum Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in creating performance models using C/C++ or SystemC
  • Experience with SoC architecture, NoCs, memory sub-system, Quality of Service (QoS), and heterogeneous compute principles
  • Experience with scripting, infrastructure, automation, and visualization using Python
  • Experience with power concepts and trade-offs
  • Experience deconstructing technical problems, designing performance experiments, analyzing/visualizing data, and sharing detailed analysis in the form of documentation with peers and cross-functional partners MS degree in EE/CS or equivalent experience
  • Experience working with cycle-accurate performance models and frameworks for performance architecture evaluations of various SoC components (Accelerators, NoC, DRAM, MMU, etc.)
  • Experience with bare-metal programming, micro-benchmarking, performance instrumentation, Simpoints, etc
  • Experience with RTL design verification
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
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