Senior Engineer- Power Architecture and Systems Engineer

Company: Qualcomm India Private Limited Job Area: 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. Key Responsibilities • Analyze and optimize power consumption of LPAI subsystems (DSP, eNPU, memory hierarchy) with focus on XR and always-on AI workloads. • Develop system-level power analysis to evaluate different audio use cases across DSP abd 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, scheduling, and data reuse strategies. • Collaborate with HW, SW, and PdM teams to review eNPU power architecture and low-power feature roadmap. • Execute lab-based power measurements, correlate silicon data with modelling, and propose optimization strategies. • Support system integration, benchmarking, and commercialization of power-optimized LPAI solutions across Mobile, XR, Compute, and IoT platforms. • Document power analysis methodologies, findings, and architectural recommendations for internal stakeholders.Requirements • Strong fundamentals in power modeling, power analysis, and system-level power optimization. • Experience with embedded processor architectures such as DSPs and NPUs, with understanding of eNPU power behavior. • Hands-on experience with power measurement setups such as Kratos, tools, and data analysis techniques • Strong programming skills in Python for analysis, modeling, and automation. • Solid understanding of memory systems, data movement, bandwidth analysis, and Cache memory strategies. • Experience working with embedded platforms, RTOS, and performance/power profiling tools. • Knowledge of fixed-point implementation and low-power optimization techniques. • Ability to work across cross‑functional and geographically distributed teams.Preferred Qualifications • Experience with Qualcomm DSP and LPAI architectures, SDKs, or internal power tools. • Background in audio, or always-on AI use cases. • Exposure to ML inference workloads and their power-performance characteristicsEducational 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. Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.