Software Engineer V

sgs-job-5830

Engineering
Remote
Performance
Performance Benchmarking
CPU
Hardware
Data Center
Data Center Hardware
Server
Python
Shell
Linux.

Contract - 06 Months

Location : Remote Data Center Performance is Client's strategic, open-source datacenter benchmark suite. It captures the diverse production workloads that run across Client's server fleet — including the social graph data store (TAO), recommendation systems, Django, web serving (HHVM), and the data warehouse — through a set of representative macro-benchmarks, microbenchmarks, and integrated performance-monitoring and reporting tooling. Data Center Performance is a critical input to new hardware bring-up and the New Product Introduction (NPI) process and is used in close collaboration with industry partners such as AMD, ARM, and NVIDIA to tune hardware and project future CPU generations. Maintaining Data Center Performance's accuracy, representativeness, and ease of use directly shapes the hardware design and procurement decisions for Client's datacenters. In this role, you will help sustain and extend Data Center Performance's benchmarking, automation, CI/CD, and reporting infrastructure, and contribute to active initiatives such as Data Center Performance containerization and Data Center Performance Mini.

Job Responsibilities:

  • Execute Data Center Performance and other industry-standard benchmarks across all generations of servers in Client's datacenter.
  • Gather, analyze, and report benchmark results together with the relevant performance, micro-architecture, and power data — supporting both Data Center Performance benchmark updates and the NPI process for evaluating new server hardware, to validate benchmark behavior and surface performance problems.
  • Develop and maintain Data Center Performance's open-source installation flow and both internal and GitHub CI/CD pipelines.
  • Develop and maintain unit and integration tests in Data Center Performance and continuously improve test coverage.
  • Develop and maintain Data Center Performance's automation and result-reporting pipelines.
  • Drive Data Center Performance containerization to further reduce the operational burden for Data Center Performance's internal and external users and make it easier to use, including: (1) developing a self-contained, pre-built benchmark package internally; and (2) developing and releasing open-source Data Center Performance container images to GitHub.

Skills:

  • Bachelor's degree in computer science, software engineering, or a relevant field.
  • 5+ years of software development experience (or master’s degree + 3 years).
  • Strong coding, problem-solving, and communication skills.
  • Proficiency in Python and Shell scripting.
  • Proficiency with Linux command-line tooling, coreutils, and performance-analysis/tracing tools.
  • Proficiency in data analysis, SQL, and data visualization.
  • Experience with CI/CD, Git tooling, and container development (Docker or Kubernetes).
  • Basic knowledge of computer systems and CPU architecture

Education/Experience:

  • Bachelor's degree in computer science, software engineering, or a relevant field

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