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About the Role

As a Data Center Post Silicon Power and Performance Engineer, you will characterize, debug, and optimize the performance and power consumption of complex SoCs and systems. You will help set up methodologies, develop validation and benchmarking plans, recommend tuning optimizations, and verify that the newly arrived silicon meets the highest performance and power efficiency. You will also participate in architecture and product definition feedback for the next generation of server CPUs by closing the loop with real silicon analysis.

Responsibilities

Characterize Data Center workloads on system to provide inputs into pre-Si modeling and projection
Define and execute end-to-end performance and power analysis plans for complex server CPUs and systems
Debug issues found during pre-silicon, bring-up, validation, and production phases of SOC programs
Define an optimization strategy that delivers world class CPU workload performance
Lead collaborative test approach with multiple teams, and tracking test execution to make sure all features are performant and optimized on time
Work closely with supporting teams in design, architecture, emulation, firmware, design verification and software to ensure readiness for first silicon arrival, evaluation of CPU and system performance upon silicon arrival, and evaluation of critical Data Center workloads
Develop deep knowledge of CPU architecture, SoC system architecture, system benchmarking techniques, and power reduction and optimization methods
Drive technical innovation to enhance capabilities in CPU performance, system performance and power validation including tools and script development, technical and procedural methodology enhancement, and various internal and cross-functional technical initiatives

Requirements

Bachelor or Masters Degree in Computer or Electrical Engineering
5 to 10+ years of practical experience in post silicon performance and power analysis of SoCs
Strong programming/scripting skills (C/C++, Python scripts)
Strong familiarity with Data Center workloads, including CPU, memory, and IO bound workloads
Strong analytical skills for test plan creation and debug
Strong communication and collaboration skills
Must excel in a dynamic team working environment
Must be a self-starter and be able to independently drive tasks to completion
Proven understanding of CPU, memory hierarchy, system interconnects.
Knowledge and experience in ARM v8 and v9 specifications
Solid grasp of ARM SoC concepts and architecture specifications like SMMU, GIC, Coresight-PMU and Timer architectures
Extensive experience in the following technical areas: Proven understanding of critical industry CPU workloads and system interactions and dependencies, Platform benchmarking and knowledge of performance workloads, Performance analysis tools and analysis techniques, Power analysis methods and comprehensive understanding of power consumption, Power management methodologies and deep understanding of tuning and optimization, Modern lab equipment, including DAQs, protocol/logic analyzers, oscilloscopes, Computer hardware and architecture (experience with datacenter servers a plus)
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Skills

C/C++
Python scripts
Data Center workloads
CPU
memory
IO bound workloads
ARM v8
ARM v9
ARM SoC concepts
SMMU
GIC
Coresight-PMU
Timer architectures
Platform benchmarking
Performance analysis tools
Power analysis methods
Power management methodologies
Modern lab equipment
DAQ
protocol/logic analyzers
oscilloscopes
Computer hardware
architecture
datacenter servers

Experience Level

4+ years of Systems Engineering or related work experience
3+ years of Systems Engineering or related work experience
2+ years of Systems Engineering or related work experience
5 to 10+ years of practical experience in post silicon performance and power analysis of SoCs

Education Level

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field
Master's degree in Engineering, Information Systems, Computer Science, or related field
PhD in Engineering, Information Systems, Computer Science, or related field
Bachelor or Masters Degree in Computer or Electrical Engineering

Salary/Compensations

$141,300.00 - $211,900.00

Benefits

competitive annual discretionary bonus program
opportunity for annual RSU grants
highly competitive benefits package

About the Company

Qualcomm Technologies, Inc.

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.
Qualcomm is committed to providing an accessible process.
Qualcomm is also committed to making our workplace accessible for individuals with disabilities.