Performance Architect, Use Case and Workload Analysis

• Conduct CPU power and performance correlation.

• Conduct CPU workload analysis and optimization on real use cases and commercial benchmarks.

• Drive post-silicon characterization and failure analysis for next-generation CPU and memory systems, focusing on optimizing F_max/V_min boundaries and root-causing complex silicon-level bugs.

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.

• 4 years of experience in embedded system software development, test and debugging.

• Experience in programming (e.g., Python, or C/C++, Shell script).

• Experience with Android/Linux environments.

Preferred qualifications:

• Experience in silicon characterization, system-level test (SLT), chip bring-up, hardware debugging, and failure analysis (FA).

• Expertise in performance and power analysis for CPUs, GPUs, TPUs, interconnect fabrics, and memory systems, including QoS tuning and bandwidth/latency analysis.

• Knowledge of OS kernel-level optimization, including schedulers, DVFS/idle governors, thermal management, and device drivers.

• Understanding of Dynamic Voltage and Frequency Scaling (DVFS) control, thermal frameworks, power state control, and Power Management ICs (PMICs).