Senior Software Test Development Engineer – Deep Learning

Senior Software Test Development Engineer – Deep Learning

Requirements

• BS or higher in CS/EE/CE or equivalent experience.
• 4+ 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 or test development experience.
• Good user/development experiences of virtualization like VM & Docker container.
• Understanding and working knowledge with any Deep Learning Framework and models especially in end-to-end customer scenarios.
• Experience in validating Deep Learning software and Deep Learning models.
• Experience in using AI development tools for test plans creation, test cases development and test cases automation.
• Able to balance conflicting/changing priorities and maintain a positive attitude while experiencing ambitious and dynamic schedules.
• Excellent English written and oral communication skills.

Responsibilities

• Work closely with global multi-functional teams to understand the test requirements and take ownership of product quality.
• Plan/design/implement/report/automate test plan/test case/test reports.
• Run bug lifecycle and co-work with inter-groups to work towards solutions.
• Automate test cases and assist in the architecture, crafting and implementing of test frameworks.
• In-house repro and verify customer issues/fixes.

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 in building models and AI-based infrastructure to improve test automation.
• Experience with LLM inference frameworks (TRT-LLM, vLLM, SGLang, etc.)
• Background in validating Data Center GPU based infrastructure (multi-GPUS, multi-nodes, cluster).
• Experience in VectorCAST, Bullseye, Gcov, or Coverity tools.