Responsibilities
Analyze and optimize performance of complex SoCs, processors, and heterogeneous computing systems.
Develop performance models, benchmarks, and simulation environments to evaluate architectural tradeoffs.
Investigate system-level bottlenecks across CPUs, DSPs, NPUs, memory subsystems, interconnects, and I/O fabrics.
Collaborate with hardware and software teams to define performance requirements and drive performance closure.
Analyze workload behavior and identify opportunities for improvements in performance, power efficiency, and scalability.
Work with operating systems, firmware, and device drivers to understand hardware-software interactions and performance impacts.
Develop profiling, tracing, and instrumentation methodologies to characterize system behavior.
Interpret silicon measurements and correlate results with simulation and modeling data.
Present findings and recommendations to engineering leadership and cross-functional teams.
Contribute to architecture reviews and influence future processor and system designs.
Required Qualifications
Bachelor's, Master's, or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
10+ years of industry experience in performance engineering, computer architecture, system architecture, or a related field.
Strong understanding of
Processor microarchitecture
Computer system architecture
Memory hierarchies and cache architectures
Interconnects and SoC design
Performance analysis and optimization techniques
Experience with performance modeling, simulation, or architectural analysis tools.
Proficiency in C/C++ and scripting languages such as Python.
Experience developing, debugging, or optimizing Linux or Windows device drivers.
Strong understanding of operating system internals and hardware-software interactions.
Experience using profiling and performance analysis tools.
Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
Experience with DSP, AI/ML accelerators, GPU, or NPU architectures.
Familiarity with virtualization technologies, IOMMU, PCIe, SR-IOV, or SIOV.
Knowledge of power-performance tradeoff analysis and performance-per-watt optimization.
Experience with silicon bring-up and post-silicon performance characterization.
Understanding of cache coherence protocols and memory consistency models.
Experience with large-scale performance benchmarking and workload characterization.
What You'll Bring
Ability to translate complex technical data into actionable architectural recommendations.
Strong collaboration skills and the ability to work across hardware and software disciplines.
Passion for solving challenging performance problems and shaping future computing architectures.
A data-driven approach to engineering decisions and performance optimization.
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Pay range and Other Compensation & Benefits
$191,800.00 - $287,800.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
