Performance Benchmark– Server Platform - Engineer to Senior Staff Engineer

Qualcomm

Bengaluru

On-site

INR 800,000 - 1,200,000

Full time

14 days+

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Job summary

Qualcomm in Bengaluru, India, is looking for a performance engineer to join its Platform Performance Team. The role involves end-to-end benchmarking and optimization across cloud and enterprise platforms to ensure industry-leading CPU performance. Candidates must possess strong technical skills, particularly in Python, Bash, and performance analysis tools.

The ideal candidate will have a Bachelor's degree and at least 3 years of relevant experience. Qualcomm values diversity and is committed to providing an accessible hiring process.

Qualifications

  • 3+ years of experience in performance engineering or related roles.
  • Working knowledge of ARM-based server platforms and Linux systems.
  • Experience with performance benchmarking, including SPEC CPU.

Responsibilities

  • Analyze and optimize CPU performance across various platforms.
  • Validate performance for hyperscalers, Kubernetes, and enterprise workloads.
  • Develop and maintain automated benchmarking frameworks.

Skills

Performance engineering
Python
Bash
C/C++
Linux internals
Performance tools

Education

Bachelor’s degree in Engineering, Computer Science, or Electrical Engineering

Tools

perf
VTune
ARM Streamline

Job description

Overview

Join Qualcomm’s Platform Performance Team to drive ARMv9 server‑class CPU performance across cloud and enterprise platforms. In this role, you will own end‑to‑end benchmarking, regression tracking, system‑level performance analysis, and optimization to deliver industry‑leading results. You will work across hardware, firmware, OS, and software layers to measure, analyze, and improve performance, collaborating closely with kernel, compiler, silicon, and customer teams.

Qualifications
  • Bachelor’s degree in engineering, Computer Science, or Electrical Engineering
  • 3+ years of experience in performance engineering, system software, or related roles
  • Strong proficiency in Python and Bash for automation and data analysis
  • Working knowledge of C/C++ in performance‑critical environments
  • Familiarity with ARM‑based server platforms and Linux systems
  • Hands‑on experience running and analyzing CPU Server workloads SPEC CPU, SPECrate, and SPECjbb
  • Experience with performance tools such as perf, VTune, or equivalent
  • Exposure to Linux performance tuning and basic statistical analysis
Core Technical Skills
  • Strong foundation in CPU and system architecture, with an understanding of how modern processors execute workloads and how architectural choices impact performance at scale.
  • Awareness of microarchitectural behavior, including how core execution, caching, and control mechanisms influence efficiency, latency, and throughput across diverse workloads.
  • Solid grasp of memory and platform architecture, with the ability to reason about data movement, locality, bandwidth and latency trade‑offs, and system‑level placement effects in complex environments.
  • Familiarity with ARM‑based platforms, including exposure to contemporary ARM architectures and an appreciation of how architectural extensions affect performance characteristics.
  • Working knowledge of Linux internals, particularly how operating system behavior influences CPU utilization, memory performance, and I/O efficiency.
  • Exposure to virtualization technologies, with an understanding of how virtualized environments can impact performance measurement and tuning.
  • Experience with performance benchmarking and analysis, including designing meaningful experiments, ensuring result consistency, identifying trends over time, and applying sound analytical judgment to interpret data.
Key Responsibilities
Benchmarking & Characterization
  • Execute and analyze SPEC CPU, SPECrate, SPECjbb, and representative cloud or microservice workloads
  • Characterize CPU, cache, memory, NUMA, and I/O behavior on ARMv9 server platforms
  • Understand what each benchmark measures and how system configuration impacts results
  • Experience with ARMv9 platforms, UEFI/BIOS, PCIe/CXL, NUMA
  • Proficient with perf, VTune, ARM Streamline, TMA
  • Linux performance tuning and statistical analysis experience
Performance Analysis & Root Cause Debugging
  • Identify CPU‑bound, memory‑bound, and system‑level bottlenecks
  • Use PMU counters, profiling tools, and system traces to debug regressions
  • Analyze CPI trends, cache misses, memory access patterns, and scheduler effects
  • Form data‑driven hypotheses and validate them through controlled experiments
  • Collaborate cross‑functionally to drive fixes and verify improvements
Regression Tracking & Monitoring
  • Define key performance indicators (KPIs) for server workloads
  • Automate performance regression detection in CI/CD environments
  • Track performance changes across software, firmware (UEFI/BIOS), and hardware updates
Optimization
  • Tune Linux kernel parameters, system configuration, and benchmark settings
  • Evaluate compiler flags and toolchains for performance impact
  • Optimize code paths where applicable using ARMv9 features and SVE/SVE2
Customer & Ecosystem Validation
  • Validate performance for hyperscalers, Kubernetes, and enterprise workloads
  • Support OEM/ODM benchmarking, customer evaluations, and field issues
  • Help explain performance behavior using clear, data‑backed analysis
Automation & Infrastructure
  • Develop and maintain automated benchmarking frameworks
  • Build scalable testbeds for repeatable performance testing
  • Contribute to data collection, visualization, and reporting pipelines
Desired Attributes
  • Strong analytical and data‑driven problem‑solving mindset
  • Ability to explain performance trends clearly using metrics
  • Practical, structured approach to debugging complex system issues
  • Curiosity and willingness to dig across system layers
  • Strong collaboration and communication skills
  • Passion for performance engineering and system optimization
Minimum Qualifications
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
  • Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
  • PhD in Engineering, Information Systems, Computer Science, or related field.
  • 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Applicants

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e‑mail disability‑accommodations@qualcomm.com or call Qualcomm's toll‑free number. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

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