Requirements

- Robust 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 crossfunctional 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 characteristics

Educational Qualifications Bachelors/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. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field.

📌 Audio DSP Engineer (Hyderabad)
🏢 Qualcomm
📍 Hyderabad