Nvidia DGX Cloud Infrastructure Engineering Intern - Fall 

United States, California 

448135899

What you’ll be doing:

• We are designing and architecting a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers.
• Design, develop, test, debug, and optimize creative solutions for Datacenter firmware throughout lifecycle.
• Work closely with hardware, software, infrastructure, and business teams to transform new firmware features from idea to reality.
• Define server-level reliability, availability, and serviceability requirements in collaboration with various customers like CSPs and deliver fault resilient solution at scale as per customer expectations.
• Collaborate with hardware, software and firmware teams to drive failure analysis and large scale solution deployment.
• Work with engineering teams across NVIDIA to ensure your software integrates seamlessly from the hardware all the way up to the AI training applications.

What we need to see:

• Currently pursuing a Bachelor's, Master's, or PhD degree within Computer Engineering, Electrical Engineering, Computer Science, or a related field
• Course or internship experience related to the following areas required: Computer Architecture, Deep Learning or Machine Learning, GPU computing and Parallel Programming, Performance Modeling, profiling, optimizing, and/or analysis.
• Prior experience or knowledge required on the following programming skills and technologies: C, C++, Python, Perl, GPU Computing (CUDA, OpenCL, OpenACC), Deep Learning Frameworks (PyTorch, TensorFlow, Caffe), HPC (MPI, OpenMP)

You will also be eligible for Intern