Sr. System Software Engineer - Power
- Compensation
- Not disclosed
- Location
- San Diego, California, United States of America
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 1+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Drive end‑to‑end power optimization by working across architecture, hardware, firmware, kernel, Android, and system software teams to develop deep expertise in power architectures, control loops, and
- Define, prototype, and evaluate new power features early, leveraging pre‑silicon platforms (emulation, models, trace‑based studies) and carrying them through post‑silicon bring‑up, validation, and pro
- Own post‑silicon power KPI execution (Day-of-Use (Battery Life), game and multimedia use-cases), including root‑cause debug, power walks, correlation, and systematic optimization across HW/SW boundari
- Perform software trade‑off analysis using rapid prototyping, experiments, and trace‑driven studies to assess alternative scheduler, DVFS, low-power mode, and system‑level design choices under real wor
- Identify and deliver power optimization opportunities by tuning or developing firmware, Linux kernel, and system algorithms (e.g., scheduler, LPMs, bus/DDR scaling, SoC power state transitions) aligne
- Contribute to and scale power debug, analysis, and automation infrastructure, including power telemetry, tooling, and AI‑assisted workflows, to improve execution velocity, coverage, and quality across
Full description
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Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Software Engineering
General Summary:Qualcomm’s Systems Software Power team is seeking a Power Systems Software Engineer who is passionate about solving complex power challenges and developing innovative solutions to optimize power efficiency for next‑generation Snapdragon platforms.
In this role, the engineer will have a unique opportunity to learn, contribute, and directly influence the full lifecycle of mobile SoC power consumption, spanning system‑level hardware and software power architecture and design, modeling and measurement, post‑silicon debug and analysis, feature optimization, and eventual commercialization of best‑in‑class power solutions across Qualcomm products.
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
- 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Responsibilities:
- Drive end‑to‑end power optimization by working across architecture, hardware, firmware, kernel, Android, and system software teams to develop deep expertise in power architectures, control loops, and advanced low‑power techniques across use‑cases and targets
- Define, prototype, and evaluate new power features early, leveraging pre‑silicon platforms (emulation, models, trace‑based studies) and carrying them through post‑silicon bring‑up, validation, and productization
- Own post‑silicon power KPI execution (Day-of-Use (Battery Life), game and multimedia use-cases), including root‑cause debug, power walks, correlation, and systematic optimization across HW/SW boundaries
- Perform software trade‑off analysis using rapid prototyping, experiments, and trace‑driven studies to assess alternative scheduler, DVFS, low-power mode, and system‑level design choices under real workloads.
- Identify and deliver power optimization opportunities by tuning or developing firmware, Linux kernel, and system algorithms (e.g., scheduler, LPMs, bus/DDR scaling, SoC power state transitions) aligned with evolving hardware architectures.
- Contribute to and scale power debug, analysis, and automation infrastructure, including power telemetry, tooling, and AI‑assisted workflows, to improve execution velocity, coverage, and quality across platforms and geographies.