Lead Engineer, Senior-System Performance Engineer (NSP, AI/ML, CPU, DDR)
Qualcomm Incorporated (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted 1d ago
Reach people at Qualcomm Incorporated
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Qualcomm Incorporated you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead performance profiling and optimization of Snapdragon Data center chipsets focusing on NPU, AI/ML, CPU, and DDR subsystems.
- Analyze system and core-level KPIs using benchmarks and performance tools to identify bottlenecks and recommend improvements.
- Collaborate with global teams to plan and execute performance activities and provide recommendations for next-generation chipsets.
Minimum Requirements
- 5+ years industry experience with ARM/x86 platforms and performance profiling tools in mobile/automotive/data center OS environments.
- Bachelor's degree in Engineering, Computer Science, or related field with at least 3 years systems engineering experience (alternatively Master's or PhD with less experience).
- Knowledge of NPU, CPU, DDR architecture and experience with Linux/QNX application or driver development is required.
- Work Experience Required: 5+ years relevant industry experience. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Strong expertise in profiling and optimizing AI/ML workloads on NPU cores with solid understanding of CPU caching, pipelines, and DDR memory standards (LPDDR4/5/6).
- Experience using system-level benchmarking and performance monitoring tools like Qualcomm Snapdragon Profiler, Intel VTune, Linux perf, and Windows Performance Toolkit.
- Comfortable working across hardware and software layers, including kernel scheduler, memory allocation, and parallel architectures, in collaboration with cross-functional international teams.