Senior Deep Learning Test Development Engineer, SDET

We are looking for a Software Test Development Engineer in NVIDIA's Deep Learning SWQA team. The position involves defining, developing, and performing tests to validate the robustness and measure the performance of NVIDIA's Deep Learning software and GPU Infrastructure for various AI scenarios.

Responsibilities:

• Collaborate with global cross-functional teams to understand test requirements and take ownership of product quality.
• Plan, design, execute, report, and automate test plans, test cases, and test reports.
• Manage bug lifecycles and work with inter-groups to drive solutions.
• Automate test cases and assist in the architecture, crafting, and implementation of test frameworks.
• Reproduce and verify customer issues and fixes in-house.
• Utilize AI-powered tools to improve efficiency and quality.

Requirements:

• BS or higher degree in CS, EE, CE, or equivalent experience.
• 5+ years of software quality assurance or test automation background with knowledge of test infrastructure and strong analysis skills.
• Scripting language (Python, Perl, Bash) knowledge and UNIX/Linux experience.
• Good C/C++ software development, DevOps, or test development experience.
• Good user/development experiences with virtualization like VM & Docker container.
• Excellent English written and oral communication skills.
• Ability to juggle conflicting/changing priorities and maintain a positive attitude.
• Experience with AI Agents/tools.

Preferred Qualifications:

• Familiarity with NVIDIA GPU hardware products (Tesla, Tegra, DGX, etc.).
• Working knowledge of NVIDIA GPU Computing (CUDA) and CUDA libraries for Deep Learning.
• Experience with VectorCAST, Bullseye, Gcov, or Coverity tools.
• Automation experience.
• Experience with DL/LLM inference frameworks (TRT, TRT-LLM, Edge-LLM, vLLM, SGLang, etc.) and familiarity with running various AI workloads.