Jobs · Engineering · California

Sr Performance Validation Engineer

Amazon Lab126 · Sunnyvale, CA · 1 wk ago
EngineeringFull-time

Key job responsibilities

  • Design and execute comprehensive validation strategies for silicon performance during the pre-silicon phase using RTL simulations, emulation platforms, and virtual prototypes.
  • Develop test plans that verify performance against design specifications before tape-out.
  • Create and maintain validation infrastructure including test benches, performance models, simulation environments, and automated validation frameworks.
  • Create methodologies for accurate performance prediction and correlation with expected post-silicon results.
  • Identify performance bottlenecks through simulation and analysis, working with design teams to implement optimization strategies before tape-out.
  • Debug and Root Cause Analysis
  • Create comprehensive checklists and procedures for performance validation activities.
  • Work closely with architecture, RTL design, verification and emulation teams to ensure performance requirements are met throughout the pre-silicon development cycle.
  • Provide early feedback to design teams on performance optimization opportunities.
  • Collaborate with external partners and vendors on emulation and virtual platform activities.

Basic Qualifications

  • 7+ years of UVM, C, System C, and scripting experience
  • Deep understanding of digital design principles, timing analysis, and power management techniques
  • Expertise in pre-silicon performance validation methodologies for complex SoCs or processors using simulation, emulation, and virtual platforms
  • Bachelor’s degree in electrical engineering, Computer Engineering, or related field with 7+ years of experience
  • Proficiency with industry-standard tools including RTL simulators (VCS, Questa, Xcelium), emulation platforms (Palladium, Zebu), and performance analysis tools
  • Strong programming skills in Python, C/C++, SystemVerilog, or similar languages for test automation and performance modeling
  • Strong knowledge of semiconductor design flows from architecture to tape-out and their impact on performance

Preferred Qualifications

  • Master's degree or Ph.D. degree in Electrical Engineering or related field
  • Proven track record of successful pre-silicon performance validation on multiple tape-outs
  • Understanding of performance modeling techniques and correlation methodologies
  • Familiarity with industry standards and protocols relevant to the target application domain
  • Experience with machine learning accelerators, multi-core processors, or similar complex digital designs is a plus
  • Experience with emulation-based validation of multi-core processors or SoCs
  • Knowledge of UPF (Unified Power Format) and low-power design techniques, performance modeling and early power estimation methodologies
  • Experience with virtual prototyping and transaction-level modeling (TLM)
  • Retail design experience is beneficial

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