Compiler Verification Engineer, Compute Performance - GPU

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Austin, TXSanta Clara, CA
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Similar $200k

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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 1792 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1179 roles with salary data.

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At a glance

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

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The Compiler Verification Engineer, Compute Performance – GPU joins the Compiler Verification Team to ensure the reliability and efficiency of compiler software. The role involves analyzing performance degradation and functional defects, identifying regression root causes, and suggesting corrective actions. Key responsibilities include automating compiler testing using internal frameworks, developing test plans, and implementing test cases to monitor performance trends. The engineer will generate statistics from performance data, maintain historical baselines, and collaborate with software compiler developers to provide automated unit testing solutions. Required skills include proficiency in C/C++, CUDA, and scripting languages like Python, Perl, and Shell. Candidates must possess deep knowledge of the Software Development Life Cycle, High-Performance Computing, and compiler implementation. The work focuses on solving performance regressions within the compiler domain in a Linux environment.

Skills

C C++ CUDA Python Perl Shell Compiler Verification High-Performance Computing SDLC Test Automation Git Perforce JIRA Confluence Make Linux Statistical Analysis

What you'll do

Analyze performance degradation and functional defects to identify regression root causes and suggest corrective actions.
Automate compiler testing using NVIDIA test frameworks and programming languages.
Apply test suites to find, report, and track compiler performance changes.
Generate statistics based on performance data to identify outliers and monitor trends.
Develop and review test plans and implement automated test cases.
Integrate tests into NVIDIA test management frameworks and port 3rd party testing.
Identify process weaknesses and offer ideas to improve software quality and testing initiatives.

What we're looking for

Bachelor’s or Master’s Degree or equivalent experience.
2+ 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.
Proven strength in problem solving, analytical skills, and ability to work with various teams under tight schedules.
Proficient experience in testing production software, preferably compiler or other system software (preferred).

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