Senior Lead Engineer _Customer Engineering_Power&Thermal
Qualcomm Incorporated (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted 19h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead technical troubleshooting and resolution of complex Power and Thermal software issues across Qualcomm Snapdragon platforms and multiple OS environments including Android, Linux, and QNX.
- Provide power and thermal design recommendations and customer-specific software solutions from concept to product launch involving various system components, hypervisors, and power management features like S2R, Dynamic Sleep, and PCM.
- Conduct power and thermal characterization of workloads (AI, multimedia, automotive) using hardware and software tools, and lead knowledge sharing initiatives including mentoring and training internal and external stakeholders.
Minimum Requirements
- B.E./B.Tech with 8+ years OR M.Tech/M.S. with 6+ years OR Ph.D. with 4+ years in Software Applications Engineering, Embedded Systems, or related field.
- Minimum 3+ years in a customer-facing technical role with demonstrated technical leadership and mentoring experience.
- Strong experience with embedded software debugging, system-level power management, and proficiency in C, C++, Python or similar languages.
- Experience with Linux or Android Power Management frameworks, embedded/real-time OS (Linux, Android, QNX), and system suspend/resume/low-power features.
Ideal Candidate Profile
- Senior-level engineer with deep expertise in system-wide power and thermal management across Snapdragon SoCs and embedded platforms including virtualization/hypervisor integration.
- Experienced in translating customer requirements into technical solutions and collaborating across multiple cross-functional teams including chipset, thermal, and architecture groups.
- Skilled in using advanced debugging and power profiling tools (JTAG, TRACE32, kernel tracing, power monitoring) and familiar with automotive or compute embedded systems workloads.