Server Platform Performance Engineer

Job Summary

Join Qualcomms Platform Performance Team to drive ARMv9 serverclass CPU performance across cloud and enterprise platforms.

In this role, you will own endtoend benchmarking, regression tracking, systemlevel performance analysis, and optimization to deliver industryleading 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 performancecritical environments
• Familiarity with ARMbased 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 systemlevel placement effects in complex environments.
• Familiarity with ARMbased 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 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 datadriven 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 Language such as C, C++, Java, Python, etc.