NVIDIA · 21 hours ago
Compiler Verification Engineer, Compute Performance – GPU
US, CA, Santa Clara
Full-time
Onsite
Mid Level
$140K/yr - $224K/yr
3+ years expNVIDIA is known as 'the AI computing company' and is seeking a Verification Engineer, Compute Performance to join their Compiler Verification Team. The role involves analyzing compiler performance, automating testing processes, and improving testing methodologies to enhance the quality of compiler performance.
Artificial Intelligence (AI)SemiconductorConsumer GoodsHardwareSoftwareAppsAI InfrastructureConsumer ElectronicsFoundational AIGPUVirtual Reality
Responsibilities
Analyze performance degradation or functional defect of compilers, identify regression root cause, suggest corrective action, and perform reviews to continuously improve testing
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
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
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
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
Qualification
Required
Bachelor's or Master's Degree or equivalent experience
3+ years' work experience in a software development or test organization
Excellent communications skills, self-motivated and well organized
Deep understanding of Software Development Life Cycle (SDLC), High-Performance Computing (HPC), and Software Testing Methodologies
Compiler Domain Expertise: You should understand how compilers work and how compilers are implemented. Proven strength in problem solving and implement solutions
Ability to work with various teams to generate a solution for performance regression and be productive under tight schedules, and have strong analytical skills with attention to detail
Be able to apply existing skills to new situations. Break large problems into smaller problems and further triage difficult performance regressions
You have experience writing test plans, test development, test automation, test execution and reporting in a production environment
Programming Languages: Have experience programming and/or testing in C/C++/CUDA as well as scripting languages (Python, Perl, Shell)
Preferred
Proficient industry experience in testing production software. Preferably compiler or other system software
Previous compiler development and/or compiler verification/test or performance analysis experience
Experience with NVIDIA CUDA Toolkit, especially solving issues and debugging in Linux environment
Background 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
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
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Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
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