Senior Dgx Cloud AI Infrastructure Software Engineer

Details

Joining NVIDIA's DGX Cloud Team means contributing to the infrastructure that powers innovative AI research. This team focuses on optimizing efficiency and resiliency of AI workloads, as well as developing scalable AI and Data infrastructure tools and services. The objective is to deliver a stable, scalable environment for AI researchers, providing them with the necessary resources and scale to foster innovation.

As a senior DGX Cloud AI Infrastructure software engineer, you will design, build, and maintain AI infrastructure that enables large-scale AI training and inferencing. The role implements software and systems engineering practices to ensure high efficiency and availability of AI systems.

Responsibilities

• Develop infrastructure software and tools for large-scale AI, LLM, and GenAI infrastructure.
• Develop and optimize tools to improve infrastructure efficiency and resiliency.
• Root cause, analyze, and triage failures from the application level to the hardware level.
• Enhance infrastructure and products underpinning NVIDIA's AI platforms.
• Co-design and implement APIs for integration with NVIDIA's resiliency stacks.
• Define meaningful and actionable reliability metrics to track and improve system and service reliability.
• Skilled in problem-solving, root cause analysis, and optimization.

Requirements

• Minimum of 8+ years of experience in developing software infrastructure for large scale AI systems.
• Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience).
• Strong debugging skills and experience in analyzing and triaging AI applications from application to hardware level.
• Proven track record in building and scaling large-scale distributed systems.
• Experience with AI training, inferencing, and data infrastructure services.
• Familiarity with operating large-scale observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki).
• Proficiency in Python, C/C++, and scripting languages.
• Excellent communication and collaboration skills with a culture of diversity, intellectual curiosity, problem solving, and openness.

Ways to Stand Out from the Crowd

• Experience working with large scale AI clusters.
• Strong understanding of NVIDIA GPUs and network technologies (RDMA, IB, NCCL).
• Good understanding of deep learning frameworks: PyTorch, TensorFlow, JAX, and Ray.
• Experience and root cause analysis of failures at datacenter scale.
• Strong background in software design and development.

NVIDIA leads groundbreaking developments in AI, High-Performance Computing, and Visualization. Their GPU technology serves as the visual cortex of modern computers and is core to products and services enabling creativity, discovery, and advanced AI applications. They seek exceptional people to accelerate the next wave of AI.