Find opportunities to improve application performance, resource utilization, scalability, and power efficiency.
Analyze workload behavior and optimize CPU, memory, cache, storage, and I/O performance.
Support a wide range of workloads including AI/ML inference and training, cloud-native applications, databases and analytics, High Performance Computing (HPC), enterprise and web services, and virtualized and containerized environments.
Performance Assessment and Evaluation
Perform system-level performance investigations using industry-standard profiling and tracing tools.
Analyze PMU data, CPU pipeline behavior, cache efficiency, memory bandwidth utilization, and NUMA characteristics.
Complete benchmarking studies to evaluate workload performance and identify optimization opportunities.
Develop consistent approaches for performance characterization and root-cause analysis.
Collaboration and Technical Leadership
Collaborate closely with Arm architecture, silicon, firmware, kernel, compiler, and software ecosystem groups.
Provide customer feedback to product and engineering organizations to improve future Arm solutions.
Contribute to performance tuning guides, guidelines, and customer enablement materials.
Mentor junior engineers on performance analysis techniques and Arm optimization methodologies.
Required Skills and Experience
Bachelor’s degree or equivalent experience, or Master’s degree or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or a similar area.
Background in performance engineering, software optimization, systems engineering, or similar technical positions.
Strong understanding of modern CPU architecture and system performance fundamentals.
Experience with Linux performance analysis tools.
Strong programming and scripting skills.
Experience working in Linux-based environments.
Strong troubleshooting, communication, and customer-facing skills.
“Nice To Have” Skills and Experience
Experience working with Arm architecture and Arm server-class platforms.
Experience with workload migration from x86 to Arm platforms.
Familiarity with performance optimization for AI/ML frameworks, databases, and cloud-native applications.
Understanding of compiler optimizations using GCC and LLVM/Clang.
Experience with containerized workloads, Kubernetes, and virtualization technologies.
Knowledge of hardware PMUs and low-level performance monitoring techniques.
Experience with industry-standard benchmarks.
Success Metrics
Successful resolution of customer performance issues and partner concerns.
Acceleration of customer workload adoption and deployment on Arm SoC.
Proven workload performance improvements through analysis and optimization.
Positive customer feedback and happiness.
Contributions to Arm performance methodologies, guidelines, and ecosystem enablement.
