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Sr- Performance Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: QUALCOMM, Inc.
Full Time position
Listed on 2026-10-17
Job specializations:
  • Engineering
    Systems Engineer, Hardware Engineer, Test Engineer, Electrical Engineering
Salary/Wage Range or Industry Benchmark: 192000 - 288000 USD Yearly USD 192000.00 288000.00 YEAR
Job Description & How to Apply Below
Position: Sr-Staff Performance Engineer
## Sr-Staff Performance Engineer Austin, Texas, United States of America Apply Now Find out how well you match with this jobJob :
3096472##
** Company:
** Qualcomm Technologies, Inc.##
** Job Area:
** Engineering Group, Engineering Group  DSP Architecture and Design
** General

Summary:

** 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.
*
* Minimum Qualifications:

*
* • Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 6+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
OR  Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 5+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
OR  PhD in Electrical Engineering, Computer Science, Computer Engineering, or related field and 4+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.

• 2+ years of experience with high-performance microprocessor design.
** 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,…
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