Qualcomm India Private Limited
Engineering Group, Engineering Group > Systems Engineering
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.
Drive power optimization techniques including clock/BW voting, workload partitioning, scheduling, and data reuse strategies.
Support system integration, benchmarking, and commercialization of power-optimized LPAI solutions across Mobile, XR, Compute, and IoT platforms.
Solid understanding of memory systems, data movement, bandwidth analysis, and Cache memory strategies.
Educational Qualifications
Bachelor’s/Master’s/PhD degree in Electrical Engineering, Electronics and Communication, Computer Science, or related field.
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
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