Join our Compiler Verification Team as a Verification Engineer, Compute Performance, where you will analyze performance degradation or functional defects of compilers, identify root causes, and suggest corrective actions. You’ll automate testing using NVIDIA frameworks, work with software developers to provide automated solutions for unit testing, and maintain historical data for comparison. Your day-to-day includes developing test plans, implementing test cases, automating tests, and integrating them into the NVIDIA test management framework. Ideal candidates have a deep understanding of SDLC, HPC, and testing methodologies, along with experience in C/C++/CUDA and scripting languages like Python or Perl. You should also be proficient in revision control tools such as Git and JIRA, and familiar with statistical analysis for performance trends. This role requires strong analytical skills and the ability to work under tight schedules while collaborating across various teams to improve quality processes.
Skills
C
C++
CUDA
Python
Perl
Shell
Git
JIRA
Confluence
Make
NVIDIA CUDA Toolkit
Linux
HPC
SDLC
Test Automation
Test Development
Test Execution
Test Reporting
Compiler Verification
Performance Analysis
Statistical Analysis Tools
What you'll do
Analyze performance degradation or functional defects of compilers to identify root causes and suggest corrective actions.
Automate compiler testing using NVIDIA test frameworks and programming languages like C/C++/CUDA.
Utilize test suites to find, report, and track compiler performance changes, working with development teams to resolve regressions.
Develop and review test plans, implement test cases, and integrate tests into NVIDIA’s test management frameworks.
Maintain historical data and baselines for comparison, generating statistics based on performance data to identify trends.
What we're looking for
3+ years of experience in software development or test organization
Deep understanding of SDLC, HPC, and testing methodologies
Expertise in compilers and problem-solving skills
Experience with C/C++/CUDA programming and scripting languages
Proficiency in test automation, execution, and reporting
Knowledge of NVIDIA CUDA Toolkit and Linux debugging
Familiarity with revision control software and statistical analysis tools
Market check
Salary context
This
$140,000–$224,250
range sits above
25%
of similar postings on FindRole.
Peer median band
$161,650–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$183,531–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
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
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.