Senior Deep Learning Test Development Engineer, SDET
Core
Develops and executes automated test plans and cases to validate the robustness and performance of NVIDIA's AI software and GPU infrastructure for autonomous driving, healthcare, speech recognition, and NLP.
Role type
Senior SDET (AI Software Quality Assurance)
Builds
Automated test infrastructure and CI/CD pipelines for GPU computing platforms
Domain
AI Software Quality Assurance / GPU Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Test automation, Python development, CI/CD pipeline development, Linux administration, Virtualization (VM, Docker, k8s, Slurm), Microcontroller programming, Bug lifecycle management
Preferred skills
AI tool development, NVIDIA GPU hardware familiarity, Deep Learning training/inference backends (PyTorch, vLLM, SGLang), RL Post Training frameworks (VeRL, MILES), CUDA libraries (cuDNN, TRT-LLM)
Technologies
Python, Linux, Docker, Kubernetes, Slurm, PyTorch, vLLM, SGLang, VeRL, MILES, cuDNN, TRT-LLM, CUDA
Responsibilities
Plan, design, execute, and automate test plans and test cases; Manage bug lifecycle and collaborate on solutions; Automate test cases and assist in CI/CD architecture; Reproduce and verify customer issues and fixes
Seniority
Senior, hands-on IC