Nvidia Data Center System Software Architect DGX Cloud 

United States, Texas 

965644502

What you’ll be doing:

• Lead technical activities for data centers with focus on hybrid deployments between cloud and on-prem

• Providing expertise in infrastructure workflows, including hardware, workload orchestration and application tuning

• Provide fast and creative solutions for complex problems and write effective, clear and reliable architecture specification

• Translate requirements to vision, architecture and roadmap

• 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:

• Masters or PhD in Computer Science, Computer Engineering, Physics or equivalent experience

• 10+ years of experience in this field.

• Data Sciences, Deep Learning, or Machine Learning coursework

• Ability to seamlessly shift between Linux system environments to Python programming

• Programming skills in 1 or more high-level languages (C, C++,Go,Rust etc)

• System-level experience with both hardware and software

• Motivated self-starter with an equal balance of strong problem-solving skills and customer-facing communication skills

• Strong design, coding, analytical, debugging and problem-solving skills

• Passion for continuous learning and knowledge transfer. Ability to work concurrently with multiple groups locally and abroad in the organization

Ways to stand out from the crowd:

• Experience with GPU deep learning and data sciences. Experience using TensorFlow, PyTorch or other DL framework. Experience working with Docker containers, Slurm, Terraform and Kubernetes

• CUDA programming and NCCL experience. HPC programming experience including MPI, OpenACC, or other parallel programming tools

• Hands-on experience with DGX Cloud, NVIDIA AI Enterprise AI Software, Base Command Manager, NEMO and NVIDIA Inference Microservices.