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Performance Benchmark Engineer/Lead - Server CPU

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Onsite

Performance Benchmark Engineer/Lead - Server CPU

Qualcomm

Performance Benchmark Engineer/Lead - Server CPU

Skills

PythonJavaKubernetes

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

25 August 2026

What they need


Job Summary

Performance Benchmark Lead Server CPU (3 to 12+ Years Experience)

Location: Bangalore

Role Type: Senior Technical Lead / Team Lead

Domain: ARMv9 Server Platforms, CPU Performance

Role Summary

Lead Qualcomms server CPU performance benchmarking and optimization efforts for next-generation ARMv9 platforms. Own performance strategy, guide a team of performance engineers, and drive end-to-end analysis across silicon, firmware, kernel, and workloads.

Key Responsibilities Leadership Strategy

  • Lead and mentor a team of performance engineers.
  • Define performance KPIs, benchmarking strategy, and roadmap.
  • Drive alignment across architecture, silicon, firmware, kernel, compiler, and workload teams.

Benchmarking Characterization

  • Lead SPEC CPU, SPECjbb, SPECrate, cloud workload analysis.
  • Characterize CPU, memory, I/O, NUMA, ARMv9 features.

Regression Monitoring

  • Own regression detection and CI/CD automation.
  • Track KPIs across firmware, software, and hardware.

Root Cause Optimization

  • Lead investigations using PMU counters, perf, VTune, Streamline.
  • Guide kernel, BIOS/UEFI, compiler, SVE/SVE2 optimizations.

Customer Partner Engagement

  • Validate workloads for hyperscalers, Kubernetes, enterprise.
  • Support OEM/ODM benchmarking and field issues.

Minimum Qualifications

  • 12+ years in CPU performance engineering/system software.
  • Strong Python, Bash, C/C++.
  • Deep microarchitecture, memory, NUMA, PCIe/CXL understanding.
  • ARMv9/SVE/SVE2, virtualization, firmware experience.
  • Hands-on with SPEC suites, cloud-native benchmarks.
  • Leadership experience.

Ideal Attributes

  • Analytical, data-driven, strong debugging.
  • Effective cross-functional collaboration.

Education and Experience

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
  • OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
  • OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
  • 2+ years of academic or work experience with programming languages such as C, C++, Java, Python, etc.

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