Data Center System Software Architect, DGX Cloud

$180,000 - $339,250/Yr

Nvidia - Santa Clara, CA

Full-time - Senior

Santa Clara, CA

Computer and Electronic Product Manufacturing

About the position

NVIDIA is seeking a highly motivated Data Center System Software Architect to join the DGX Cloud Software Team. This role involves leading the architecture, design, and implementation of next-generation DGX cloud clusters, focusing on hybrid deployments between cloud and on-premises environments. The ideal candidate will have a strong programming background, a deep understanding of distributed systems, and excellent communication skills, contributing to the advancement of NVIDIA's AI infrastructure solutions.

Responsibilities

• Lead technical activities for data centers with a focus on hybrid deployments between cloud and on-prem.
• Provide 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 specifications.
• Translate requirements into vision, architecture, and roadmap.
• Work with engineering teams across NVIDIA to ensure seamless integration of software from hardware to AI training applications.

Requirements

• Masters or PhD in Computer Science, Computer Engineering, Physics, or equivalent experience.
• 10+ years of experience in the field of Data Sciences, Deep Learning, or Machine Learning.
• Ability to seamlessly shift between Linux system environments and Python programming.
• Programming skills in one or more high-level languages (C, C++, Go, Rust, etc.).
• System-level experience with both hardware and software.
• 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.

Nice-to-haves

• Experience with GPU deep learning and data sciences.
• Experience using TensorFlow, PyTorch, or other deep learning frameworks.
• 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.

Benefits

• Equity options
• Comprehensive health benefits
• Flexible work hours
• Opportunities for professional development
• Diversity and inclusion programs