Drimva

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Silicon Performance Architect, Reality Labs

$178K–$250K

Sunnyvale, CA +3 · Full-time · Posted Aug 28, 2026

Location
Sunnyvale, CA
Redmond, WA
Austin, TX
San Diego, CA
Experience
8+ years creating performance models using C/C++ or SystemC.
Education
Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; the posting also mentions an MS degree in EE/CS or equivalent experience.

About the job

Leads performance modeling, workload analysis, and optimization for Reality Labs SoCs powering AI-enabled wearable devices.

What you'll do

  • Analyze SoC bottlenecks and develop performance models for IP components, SoC fabric, and DRAM.
  • Profile workloads and create micro-benchmarks to evaluate performance.
  • Identify optimization opportunities and collaborate across hardware and software teams on co-design.

What they ask for

  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
  • 8+ years of experience creating performance models using C/C++ or SystemC.
  • Experience with SoC architecture, NoCs, memory subsystems, QoS, heterogeneous compute, Python, and power concepts.
  • Experience analyzing technical problems, designing performance experiments, and documenting analysis for peers and cross-functional partners.

Nice to have

  • Experience with cycle-accurate performance models, bare-metal programming, micro-benchmarking, performance instrumentation, Simpoints, or RTL design verification.
  • Demonstrated ability to use AI tools to optimize or redesign workflows and deliver measurable impact.

Pay

$178,000/year to $250,000/year (base salary)

Tools

C/C++, SystemC, Python, NoCs, DRAM, QoS, Simpoints, RTL

AI focus

The role supports AI-enabled wearables and calls for integrating AI tools to optimize or redesign workflows and drive measurable impact.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)