NVIDIA
Artificial Intelligence
SeniorAIInfrastructureSoftwareEngineer-DGXCloud
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“Senior AI Infrastructure Software Engineer - DGX Cloud at NVIDIA. Skills: AI Infrastructure Software Engineering, Large-scale AI systems development, Distributed Systems, Kubernetes, Python, C/C++. Develop platform and tools for large-scale AI, LLM, and GenAI infrastructure. Develop and optimize tools to improve AI/ML workload efficiency and resiliency”
What You'll Achieve.
improving productivity; optimizing efficiency and resiliency of AI workloads; track and improve system and service reliability
Industry & Context.
Skilled in problem-solving; problem solving
What They're Looking For.
Must Have
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), debugging skills and experience in analyzing and triaging AI applications from the application level to the hardware level, Proven track record in building and scaling large-scale distributed systems, Experience with AI training and inferencing and data infrastructure services, Familiar in Kubernetes and operating large-scale observability platforms for monitoring and logging (e. g. , ELK, Prometheus, Loki), Proficiency in programming languages such as Python, C/C++, script languages, Excellent communication and collaboration skills
Nice to Have
Experience in working with the large scale AI cluster and cloud-native infrastructure, understanding of NVIDIA GPUs, network technologies (RDMA, IB, NCCL), Good understanding on DL frameworks internal PyTorch, TensorFlow, JAX, Dynamo, and Ray, Experience and root cause analysis of failures and datacenter scale, background in software design and development
What You'll Do.
Develop platform and tools for large-scale AI
and GenAI infrastructure
Develop and optimize tools to improve AI/ML workload efficiency and resiliency
Root cause and 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 on the platform
Define meaningful and actionable reliability metrics to track and improve system and service reliability
How You'll Work.
Team & Collaboration
collaboration skills; Co-design and implement APIs
Communication Scope
Excellent communication and collaboration skills
Full Job Description
Joining NVIDIA's DGX Cloud Lepton Team means contributing to the leading cloud product that powers innovative AI research and developers. We focus on building the AI/ML platform for improving productivity, optimizing efficiency and resiliency of AI workloads, as well as developing scalable AI infrastructure services globally. We are seeking an AI infrastructure software engineer to join our team. You'll be instrumental in designing, building, and maintaining AI platforms that enable large-scale AI training, inferencing, fine-tuning, and Agentic AI in production. As a senior DGX Cloud AI Infrastructure software engineer at NVIDIA, you will have the opportunity to work on innovative technologies that power the future of AI and be part of a dynamic and supportive team that values learning and growth. The role provides the autonomy to work on meaningful projects with the support and mentorship needed to succeed, and contributes to a culture of blameless postmortems, iterative improvement, and risk-taking. If you are seeking an exciting and rewarding career that makes a difference, we invite you to apply now! **What you’ll be doing:** * Develop platform and tools for large-scale AI, LLM, and GenAI infrastructure. * Develop and optimize tools to improve AI/ML workload efficiency and resiliency. * Root cause and 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 on the platform. * Define meaningful and actionable reliability metrics to track and improve system and service reliability. * Skilled in problem-solving, root cause analysis, and optimization. **What we need to see:** * 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 debugg
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