Ambient Compute Power Architect for XR AI

Qualcomm

San Diego (CA)

On-site

USD 148,300 - 222,500

Full time

14 days+

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Job summary

Qualcomm Technologies, Inc. in San Diego is seeking a senior engineer to advance performance optimization, power analysis, and architecture for embedded AI subsystems used in XR and ambient scenarios.

You will collaborate with HW/SW teams to optimize DSP/NPUs, perform power measurements, and drive data-path improvements, delivering actionable recommendations to stakeholders and enabling on-device AI efficiency.

Qualifications

4+ years of Systems Engineering or related work experience in embedded/power optimization.
Experience with embedded processor architectures and power behavior.
Proficiency in Python for data analysis and automation.
Experience with embedded platforms, RTOS, and profiling tools.
Strong memory system and data movement knowledge.
Ability to work across cross-functional and distributed teams.

Responsibilities

Analyze and optimize performance and power of LPAI subsystem (DSP, eNPU, memory) with XR and always-on AI workloads.
Support system integration, benchmarking, and commercialization of LPAI across Mobile, XR, Compute, and IoT platforms.
Perform detailed data-path and memory-access analysis (cache, SRAM, DDR) to identify bottlenecks impacting performance efficiency.
Drive ambient system workload partitioning, software optimizations, clock/BW voting, and data reuse strategies.
Collaborate with HW, SW, and PdM teams to review low-power feature roadmap.
Execute lab-based power measurements, correlate silicon data with modelling.
Document performance and power analysis, competitive analysis findings, and architectural recommendations for internal stakeholders.