Compiler Verification Engineer, Compute Performance - GPU

Nvidia

Confirmed live yesterday High trust

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Work type
On-site
Location
Austin, TXSanta Clara, CA
Employment
Full-time
Posted
57 days ago
Freshness
Confirmed live yesterday

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

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TL;DR · Compiler Verification Engineer, Compute Performance - GPU

The Compiler Verification Engineer, Compute Performance joins the Compiler Verification Team to analyze performance degradation and functional defects within compilers. This role involves identifying regression root causes, suggesting corrective actions, and performing reviews to improve testing quality. Key responsibilities include automating compiler testing using internal frameworks, developing test plans, and implementing test cases. The engineer will also track performance changes, generate statistics from performance data, and maintain historical baselines. Required skills include deep knowledge of the Software Development Life Cycle, High-Performance Computing, and compiler implementation. Candidates must be proficient in C/C++, CUDA, and scripting languages like Python, Perl, and Shell. The work focuses on solving performance regressions and ensuring the reliability of compiler software within a production environment using tools like Git, Perforce, and JIRA.

What you'll do

  • Analyze performance degradation and functional defects in compilers to identify root causes and suggest corrective actions.
  • Automate compiler testing, build environments, and test reporting using NVIDIA test frameworks and programming.
  • Utilize test suites to track performance changes and generate statistics to monitor performance trends.
  • Develop and review test plans, implement test cases, and integrate tests into management frameworks.
  • Port third-party testing and integrate existing tests into the compiler test automation suite.
  • Identify process weaknesses and offer actionable ideas to improve software quality and testing initiatives.
  • Triage difficult performance regressions by breaking large problems into smaller, manageable components.

What we're looking for

  • Bachelor’s or Master’s Degree or equivalent experience.
  • 3+ years’ work experience in a software development or test organization.
  • Deep understanding of Software Development Life Cycle (SDLC), High-Performance Computing (HPC), and Software Testing Methodologies.
  • Expertise in how compilers work and how they are implemented.
  • Experience writing test plans, test development, test automation, test execution, and reporting in a production environment.
  • Experience programming and/or testing in C/C++/CUDA as well as scripting languages like Python, Perl, and Shell.
  • Proficient industry experience in testing production software, preferably compiler or other system software (preferred).
  • Previous compiler development, compiler verification/test, or performance analysis experience (preferred).

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