Compute Architect and Power Engineer

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Multimedia Systems General Summary: As part of Qualcomm’s Low-Power AI (LPAI) Systems group, this role focuses on performance optimization, data-path and power analysis, and architecture of embedded AI subsystems, with emphasis on XR and ambient use cases. The engineer will drive power-efficient system design and analysis across DSP/AI subsystems by analyzing power-performance trade-offs and enabling optimizations across software and hardware for on-device AI.

Analyze and optimize performance and power of LPAI subsystem (DSP, eNPU, memory) with focus on XR and always-on AI workloads.  Support system integration, benchmarking, and commercialization of LPAI solutions 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.  Minimum Qualifications: •    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

Experience with embedded processor architectures such as DSPs and NPUs, with understanding of processor power behavior.  Experience working with embedded platforms, RTOS, and performance/power profiling tools.  Strong programming skills in Python for analysis, modeling, and automation.  Solid understanding of memory systems, data movement, bandwidth analysis, and Cache memory strategies.  Strong fundamentals in power modeling, power analysis, and system-level power optimization.  Hands-on experience with power measurement tools, and data analysis techniques  Knowledge of fixed-point implementation and algorithm optimization techniques.  Ability to work across cross‑functional and geographically distributed teams.

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 characteristics   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). 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