General Summary

As part of Qualcomm’s Audio and Low‑Power AI (LPAI) Systems group, this role focuses on power and data‑path analysis, optimization, and architecture of embedded AI subsystems, with emphasis on XR and always‑on use cases. The engineer will drive power‑efficient system design and analysis across DSP/eNPU subsystems by analyzing power‑performance trade‑offs and enabling optimizations across memory access, data movement, and workloads for on‑device AI.

Key Responsibilities

• Analyze and optimize power consumption of LPAI subsystems (DSP, eNPU, memory hierarchy) with a focus on XR and always‑on AI workloads.
• Develop system‑level power analysis to evaluate different audio use cases across DSP and eNPU.
• Perform detailed data‑path and memory‑access analysis (TCM, LLC, DDR) to identify bottlenecks impacting power efficiency.
• Drive power optimization techniques including clock/BW voting, workload partitioning, sc...