4 days ago
Austin, TX, USA or Santa Clara, CA, USAMid Level
H1B sponsor
Responsibilities
- Analyze compiler performance regressions and functional defects, identify root causes, and recommend corrective actions.
- Automate compiler testing, test execution, reporting, build environments, and unit-testing solutions using NVIDIA frameworks and programming.
- Execute test suites, track compiler performance changes, investigate outliers, monitor trends, and maintain historical data and baselines.
- Develop and review test plans, implement and automate test cases, integrate third-party and existing tests, and author test reports.
- Collaborate with compiler developers and other teams to resolve regressions and improve testing and quality processes.
Requirements
- Bachelor’s or master’s degree or equivalent experience.
- At least 2 years of work experience in a software development or test organization.
- Deep understanding of software development life cycle, high-performance computing, and software testing methodologies.
- Understanding of compiler operation and implementation, with strong problem-solving and solution-development skills.
- Experience writing test plans and performing test development, automation, execution, and reporting in a production environment.
- Programming or testing experience with C, C++, CUDA, and scripting languages such as Python, Perl, or Shell.
- Strong analytical, communication, organizational, collaboration, and attention-to-detail skills.
- Preferred: production software testing experience, particularly with compilers or system software; compiler development, verification, testing, or performance analysis experience; NVIDIA CUDA Toolkit and Linux debugging experience; familiarity with Git, Perforce, JIRA, Confluence, Make, and statistical analysis tools.
Benefits
- Eligible for equity and benefits.
- Applications will be accepted at least until November 6, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.