The role at Qualcomm Technologies, Inc. is focused on performance optimization and power analysis within the Low-Power AI Systems group. The engineer will work on embedded AI subsystems, particularly for XR and ambient use cases. This position emphasizes power-efficient system design and collaboration across hardware and software teams. The engineer will also analyze power-performance trade-offs to enable optimizations for on-device AI.

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience, or a Master's degree with 3+ years, or a PhD with 2+ years.
• Experience with embedded processor architectures such as DSPs and NPUs, with an 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.

• Analyze and optimize performance and power of LPAI subsystems with a 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 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 and correlate silicon data with modeling.
• Document performance and power analysis, competitive analysis findings, and architectural recommendations for internal stakeholders.

• Qualcomm offers competitive compensation, annual bonuses, stock programs, comprehensive healthcare coverage, retirement plans, wellness programs, parental leave, flexible work options, and professional development opportunities.