Performance Benchmark- Server Platform - Engineer

Job description

General Summary 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 - Bachelors 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 tradeoffs, 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 ResponsibilitiesBenchmarking 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 **CPUbound, memorybound, and systemlevel bottlenecks** - Use **PMU counters, profiling tools, and system traces** to debug regressions - Analyze CPI trends, cache misses, memory access patterns, and scheduler effects - Form datadriven hypotheses and validate them through controlled experiments - Collaborate crossfunctionally 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, databacked 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 problemsolving 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 languages such as C, C++, Java, Python, etc.