Architect - System Performance Verification and Analysis

NVIDIA
Bengaluru
Workplace: HybridFull timeFunction: Hardware, Embedded & Systems EngineeringExperience: 3+ yearsSkills: ["Debugging","Data analysis","Statistical analysis","Communication","Root-cause analysis"]

Own end-to-end SoC performance verification and analysis across cycle-accurate models, RTL simulation, emulation, and silicon. Partner with architecture and design/verification teams to define test plans that match real customer use cases, drive full-chip concurrent workload execution, and root-cause performance failures via waveform, trace, and profiling. Build and maintain performance workloads, test suites, and automated regression flows, leveraging AI/LLM tools to accelerate analysis and improve methodology.

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FursaFursa
NVIDIA
NVIDIA
6 hours ago

Architect - System Performance Verification and Analysis

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Own end-to-end SoC performance verification and analysis across cycle-accurate models, RTL simulation, emulation, and silicon. Partner with architecture and design/verification teams to define test plans that match real customer use cases, drive full-chip concurrent workload execution, and root-cause performance failures via waveform, trace, and profiling. Build and maintain performance workloads, test suites, and automated regression flows, leveraging AI/LLM tools to accelerate analysis and improve methodology.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Hardware, Embedded & Systems Engineering
Seniority: Mid level

Key Responsibilities

  • •Define comprehensive performance test plans with system architecture and use-case modeling teams that reflect real product use cases.
  • •Drive full-chip SoC performance verification by running realistic concurrent workloads across engines and subsystems.
  • •Execute performance test plans across the verification stack (cycle-accurate models, RTL simulation, emulation, silicon) and identify bottlenecks/regressions.
  • •Debug performance failures using waveform analysis, signal-level queries, trace analysis, and system-level profiling to root-cause issues in memory, fabric, or engines.
  • •Develop performance workloads, test suites, and automation (testbench components, simulators, analysis scripts, automated regression flows) and improve methodology/turnaround time using AI-assisted tooling.

Key Requirements

  • •B.E./B.Tech or M.S./M.Tech (or equivalent experience) in Electrical Engineering, Computer Science, or related fields.
  • •3+ years of relevant experience in SoC or system-level architecture, performance verification, or hardware validation.
  • •Strong SoC understanding including GPU/CPU pipelines, memory subsystem design, NoC/fabric architecture, and high-speed IO interfaces.
  • •Hands-on experience with RTL simulation and debug, including waveform-based debug and signal-level querying.
  • •Programming and scripting skills in Python and C/C++ and ability to automate analysis with Bash/Python; Verilog/SystemVerilog or SystemC/TLM is a plus.
Experience:3+ yearsSoCSystem-level architecturePerformance verificationHardware validationRTL simulationGPUAI acceleratorsPre-silicon performance analysis
Education:
Skills:DebuggingData analysisStatistical analysisCommunicationRoot-cause analysis
Tech Stack:PythonC/C++BashVerilogSystemVerilogSystemCTLMRTL simulationWaveform-based debugSignal-level queryingCycle-accurate performance modelsEmulation platformsSystem-level profilingAI-assisted toolsLLM-based assistantsNVIDIA NIMNeMoOpenAI APIsLangChain

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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