Nvidia Senior Software Engineer Quantized Training 

United States, Texas 

936012444

What you'll be doing:

• Create well-tested SW systems and PoCs in support of quantized training

• Build visualization tools to track and assess the health of model training

• Benchmark internal and external methods for quantized training

• Build an insights platform for tracking model metrics and benchmarks

• Architect CI/CD systems for versioning training recipes

• Participate in code reviews

What we need to see:

• A Masters Degree or PhD or meaningful equivalent experience in Computer Science/Computer Engineering or a related field.

• 5+ years of relevant software development experience.

• Strong software engineering background with a focus on building concise and well-tested code in C++ and Python

• Experience working with ML accelerators and PyTorch or similar frameworks

• Good foundation in ML training and quantization

• Strong written and oral communication skills

Ways to stand out from the crowd:

• Experience with CUDA, performance optimization and debugging

• Proficient in precision and numerics for ML

GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with the major systems companies and every major cloud service provider to make GPUs available in data centers and in the cloud. We craft computers and software to bring AI to edge devices, such as self-driving cars and autonomous robots. AI has the potential to spur a wave of social progress unmatched since the industrial revolution.