Data Center Engineering - Post Silicon Power and Performance Engineer. Sr. Staff/Principal

Qualcomm • Austin, TX

1d

About The Position

As a Senior Data Center Post Silicon Power and Performance Engineer, you will work to 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.

Requirements

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

Nice To Haves

• Bachelor or Masters Degree in Computer or Electrical Engineering
• 12 to 20+ 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)

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level