Power Management Software Engineer - SoC/Kernel

Power Management Software Development :

- Develop and optimize platform-specific power management features on SoCs (based on custom Oryon CPUs).

- Implement DVFS (Dynamic Voltage and Frequency Scaling), Sleep/Wake logic, and rail/clock gating across CPU, NPU, GPU, and DSP domains.

- Integrate with Power Management ICs (PMICs) and configure resource power managers (RPMh, RSC).

Low Power Mode Enablement :

- Validate retention/restore sequences of SoC subsystems and memory during low-power modes.

- Integrate SPMI-based communication with PMIC for power domain control.

Thermal & Performance Scaling :

- Interface with Battery Management System (BMS) and configure thermal trip points.

- Implement CPUFreq/DevFreq drivers with QoS-aware thermal throttling and performance caps.

Power & Thermal Characterization :

- Perform power regression analysis across software releases and feature integrations.

- Work with system architects to define performance-per-watt KPIs for devices (e.g., AI laptops, edge compute systems).

Firmware and Bootloader Integration :

- Coordinate with XBL, ABL, and UEFI teams for seamless handoff of power states to Linux/Windows OS.

Debug & Bring-up Support :

- Work with silicon validation teams to debug board-level or SoC-level anomalies in power delivery or heat dissipation.

Cross-Team Collaboration :

- Support OEM/ODM partners in tuning and validating power features for commercial products (e.g., laptops or tablets).

- Contribute to system-level test plans and validations for power and thermal readiness at EVT/DVT stages.

Required Expertise :

Qualcomm-Specific Knowledge :

- Familiarity with Oryon CPUs, Hexagon DSPs, Adreno GPU, and AI accelerators.

- Experience with tools : QXDM, QPST, Trepn Profiler, QDART, Dragonboard/CRB environments.

OS and Driver Development :

- Integration of custom PMIC or thermal drivers in AOSP or Yocto-based distributions.

Power Profiling & Tuning :

- Tuning performance-per-watt metrics across workloads (AI inference, GPU rendering, video playback, etc.).

Debugging and Analysis :

- Familiarity with JTAG/debug probes, boot tracing, and event timelines for power issue debugging.

Preferred Qualifications :

- Familiarity with Linux on ARM64 and power management on ARM64 SoCs.

- Knowledge of modern thermal management techniques for fanless laptops or ultrabooks.

- Exposure to AI performance-power optimization, e.g., NPU power scaling for LLM workloads.