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Senior Member of Technical Staff – Performance Engineering (ESXi Core Storage)

New Delhi, India

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Job ID R1907960-10 Date posted Jun. 20, 2019

VMware is looking for a SeniorMember of Technical Staff interested in joining the ESXCore Storage Performance Engineering R&D group. The team is primarily focused on the data path performance of ESXi core storage stack, including bottleneck analysis and software architecture design and optimization for next generation hardware. The team is also engaged in building performance analytics solutions for VMware products. The candidate should be able to integrate performance considerations at the hardware, hypervisor, guest OS layers into an overall understanding of why various components of the storage software stack as well as various applications perform as they do, and then to communicate what is learned to the appropriate stakeholders. The position involves writing performance test plans, automating them, executing and analyzing the results and monitoring performance regressions on a daily/weekly basis. The job also expects you to look into the product code, do deeper performance analysis for individual features (such as NVMe over fabric, VVOL, etc) and present insights of your analysis to the perf & dev engineers on further improving the performance. You’ll be part of a bright engineering team that has an open communication, empowerment, innovation, teamwork and customer success culture.

Requirements:

  • A Bachelors or Masters in Computer Science or related field
  • 5+ Years of industry experience
  • Very good aptitude for performance engineering R&D and experience with performance benchmarks and methodology
  • Good programming skills with Python, C/C++
  • Solid understanding of CPU, memory, network, and storage hardware and software subsystems as they relate to performance
  • Basic hypervisor and Linux system administration skills
  • Excellent analytical skills
  • Excellent verbal and written communication skills


Desired Skills:

  • Experience with ESXi and Linux performance tools
  • Exposure to data analytics, machine learning and statistical analyses
  • Strong background in operating system internals and computer architecture
  • Strong background in networking or storage domains
  • Experience working on large distributed systems

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