Nvidia Senior Software Test Development Engineer - Deep Learning 

China, Shanghai 

596193057

What you’ll be doing:

• Work closely with DL SW engineering teams to develop a keen understanding of DL QA goals, test strategies, and technical needs.
• Collaborate with diverse inter-groups, including DL Researchers, Product, and engineering teams to identify gaps, and improve processes.
• Spearhead improvements to our test automation infrastructure; Orchestrate stronger testing processes for improved efficiency and accuracy through rapid automation, failure analysis, and improved reporting.
• Architect and lead efficiency initiatives.
• Lead bug lifecycle and co-work with QA test developers to analyze customer bugs and user scenarios to improve test coverages.

What we need to see:

• MS/PhD (PhD preferred) in CS, EE, Math or closely related fields or equivalent experience.
• 10+ years of software development experience in DL/ML (e.g., Quantization algorithms, Transformers, CNN, and LLM models).
• Able to design test strategies for diverse DL SW products to optimize test plans and identify the most essential and risky use cases.
• Excellent C/C++, Python programming skills; Strong written and oral communications skills in English.

Ways to stand out from the crowd:

• Be familiar with deep neural network training, inference, optimization in typical DL Frameworks.
• Experience software development with popular AI models (e.g., LLM models).
• Background with GPU computing and parallel programming such as CUDA/OpenCL.