Compiler Verification Engineer, Compute Performance – GPU

NVIDIA•Austin, TX

About The Position

NVIDIA is seeking a Verification Engineer to join its Compiler Verification Team, focusing on compute performance. The role analyzes compiler performance degradations and functional defects, identifies regression root causes, recommends corrective actions, and reviews testing to support continuous improvement. The engineer automates compiler testing with NVIDIA test frameworks and programming, including test execution, reporting, results analysis, and automation of build and test environments. The role also supports software compiler developers with automated unit-testing solutions; applies test suites to detect, report, and track performance changes; investigates outliers and trends; and maintains historical data and baselines. Responsibilities include developing and reviewing test plans, implementing and automating test cases, integrating tests into NVIDIA test-management frameworks, porting third-party tests, and authoring reports. The engineer contributes to iterative planning, identifies process weaknesses, and participates in quality-improvement initiatives. The posting states that the position is an existing vacancy and that applicants are eligible for equity and benefits.

Requirements

Bachelor’s or Master’s degree, or equivalent experience.
At least 2 years of work experience in a software development or test organization.
Excellent communication skills; self-motivated and well organized.
Deep understanding of the Software Development Life Cycle (SDLC), High-Performance Computing (HPC), and software testing methodologies.
Understanding of how compilers work and are implemented.
Problem-solving ability and ability to implement solutions.
Ability to work across teams to address performance regressions and deliver under tight schedules; strong analytical skills and attention to detail.
Experience with test plans, test development, test automation, test execution, and reporting in a production environment.
Programming and/or testing experience in C, C++, or CUDA, as well as scripting languages such as Python, Perl, or Shell.

Nice To Haves

Proven experience testing production software, preferably compiler or other system software.
Compiler development, compiler verification or testing, or performance-analysis experience.
Experience with the NVIDIA CUDA Toolkit, especially troubleshooting and debugging in Linux.
Experience with revision-control software and management tools such as Git, Perforce, JIRA, Confluence, and Make.
Familiarity with statistical-analysis tools for identifying and isolating out-of-bound behavior.

Responsibilities

Analyze compiler performance degradation and functional defects, identify regression root causes, suggest corrective actions, and review testing.
Automate compiler testing, including test execution, reporting, results analysis, and build and test environment automation.
Work with compiler developers to provide automated unit-testing solutions.
Apply test suites to find, report, and track compiler performance changes; work with development teams to resolve regressions.
Generate statistics from performance data, investigate outliers, monitor performance trends, and maintain historical data and baselines.
Develop and review test plans; implement test cases; automate and integrate tests into test-management frameworks; port third-party testing; and author test reports.
Apply iterative planning and test-development processes, identify process weaknesses, suggest improvements, and participate in quality initiatives.