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About the Role

We are seeking an experienced Senior Performance Engineer to drive architectural analysis, performance modeling, and system optimization for next-generation computing platforms. The ideal candidate will possess deep expertise in processor and system architecture, performance analysis methodologies, and low-level software, including device drivers. This role requires close collaboration with hardware architects, software engineers, silicon teams, and product stakeholders to identify bottlenecks, optimize system performance, and influence future architectural direction.

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.

Requirements

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.
Strong understanding of computer system architecture.
Strong understanding of memory hierarchies and cache architectures.
Strong understanding of interconnects and SoC design.
Strong understanding of 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.
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.
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.

Skills

Processor microarchitecture
Computer system architecture
Memory hierarchies
Cache architectures
Interconnects
SoC design
Performance analysis
Performance optimization
Performance modeling
Simulation
Architectural analysis tools
C/C++
Python
Linux device drivers
Windows device drivers
Operating system internals
Hardware-software interactions
Profiling tools
Performance analysis tools
DSP architectures
AI/ML accelerator architectures
GPU architectures
NPU architectures
Virtualization technologies
IOMMU
PCIe
SR-IOV
SIOV
Power-performance tradeoff analysis
Performance-per-watt optimization
Silicon bring-up
Post-silicon performance characterization
Cache coherence protocols
Memory consistency models
Large-scale performance benchmarking
Workload characterization

Location

Remote
Hybrid
Onsite

Work Type

Full-time

Experience Level

Senior
6+ years
5+ years
4+ years
2+ years
10+ years

Education Level

Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field
Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field
PhD in Electrical Engineering, Computer Science, Computer Engineering, or related field

Salary/Compensations

$191,800.00 - $287,800.00

Benefits

Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package designed to support your success at work, at home, and at play

About the Company

Qualcomm Technologies, Inc. is a global leader in wireless technology innovation, connecting everyone and everything to the internet.
Qualcomm is committed to providing an accessible process for individuals with disabilities during the application/hiring process.
Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Equal Opportunity

Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.