Compiler Verification Engineer, Compute Performance – Gpu- New College Grad 2026

NVIDIA NVIDIA · Semiconductors · Austin, TX +1

NVIDIA is seeking a Compiler Verification Engineer to analyze and automate testing for compiler performance and functional defects, identify root causes, and improve testing processes. The role involves developing test plans, executing tests, reporting on performance trends, and collaborating with software developers. Requires experience in software development/testing, understanding of SDLC and HPC, and expertise in C/C++/CUDA and scripting languages.

What you'd actually do

  1. Analysis: Analyze performance degradation or functional defect of compilers, identify regression root cause, suggest corrective action, and perform reviews to continuously improve testing.
  2. Test Automation: Automate compiler testing using NVIDIA test frameworks and by programming. Includes test execution, test reporting, and results analysis and automation of build and test environments. Work with software compiler developers and assist in providing automated solutions for unit testing.
  3. Test Operations: Utilize test suites to find, report and track compiler performance changes. Work with development team to drive regressions to resolution. Generate statistics based on performance data, identify and investigate outliers and monitor performance trends. Maintain historical data and baselines for comparison.
  4. Compiler Test Development: Develop and review test plans, implement test cases, automate tests, integrate tests into NVIDIA test management frameworks, port 3rd party testing, and author test reports. May include integrating already existing tests into the compiler test automation.
  5. Process Improvement: Utilize current iterative planning and test development processes. As part of team, identify potential or observed weaknesses in current process, offer ideas for actions that can improve quality, and participate in quality initiatives.

Skills

Required

  • C/C++/CUDA programming
  • Python, Perl, Shell scripting
  • Software Development Life Cycle (SDLC)
  • High-Performance Computing (HPC)
  • Software Testing Methodologies
  • Compiler Domain Expertise
  • Problem solving
  • Analytical skills
  • Attention to detail
  • Test plan development
  • Test development
  • Test automation
  • Test execution
  • Reporting in a production environment

Nice to have

  • Testing production software
  • Compiler or other system software testing
  • Compiler development
  • Compiler verification/test or performance analysis
  • NVIDIA CUDA Toolkit
  • Linux debugging
  • Revision control software (Git, Perforce)
  • Management tools (JIRA, Confluence)
  • Make
  • Statistical analysis tools

What the JD emphasized

  • compiler performance analysis
  • test automation
  • compiler testing
  • performance regression