Compiler Verification Engineer, Compute Performance – GPU

Job Title

Compiler Verification Engineer, Compute Performance – GPU

Role Summary

Join the Compiler Verification Team to validate and protect compiler performance and correctness for NVIDIA GPUs. The role focuses on detecting and diagnosing performance regressions and functional defects, automating compiler tests, maintaining baselines, and driving issues to resolution with compiler developers.

Experience Level

Entry-level (approximately 2+ years of professional experience in software development or test engineering).

Responsibilities

Key responsibilities include investigating regressions, automating compiler tests, operating test suites, and improving verification processes.

• Analyze performance degradations and functional defects in compilers; identify root causes and recommend corrective actions.
• Automate compiler testing using internal test frameworks; implement test execution, reporting, and build/test environment automation.
• Run and maintain test suites to find, report, and track compiler performance changes; work with development teams to resolve regressions.
• Generate performance statistics, identify outliers, monitor trends, and maintain historical baselines for comparison.
• Develop and review test plans and test cases; integrate tests into test management frameworks and port/author test reports.
• Participate in process and quality improvement initiatives; propose and implement changes to testing and verification workflows.

Requirements

Must-have technical skills and experience, plus optional qualifications that strengthen a candidate's fit.

• Must-have: 2+ years' experience in a software development or test organization; strong problem-solving and analytical skills.
• Must-have: Deep understanding of SDLC, high-performance computing (HPC), and software testing methodologies.
• Must-have: Compiler domain knowledge - understanding compiler implementation and behavior.
• Must-have: Experience creating test plans, developing tests, automating test execution, and reporting results in a production environment.
• Must-have: Programming experience in C/C++/CUDA and scripting (Python, Perl, Shell).
• Nice-to-have: Production software testing experience for compilers or system software; prior compiler development or verification/performance analysis.
• Nice-to-have: Experience with NVIDIA CUDA Toolkit and debugging on Linux.
• Nice-to-have: Familiarity with Git or Perforce, JIRA, Confluence, Make, and statistical analysis tools for isolating out-of-bound behavior.

Education Requirements

Bachelor's or Master’s degree, or equivalent practical experience. The posting does not specify fields of study or certifications.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.