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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Infrastructure Software Engineer - DGX Cloud - **Company:** NVIDIA Corporation - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), Cloud Computing, Computer Programming, Data Infrastructure, Software Debugging, Distributed Systems, Python (Programming Language), Remote Direct Memory Access, Tensorflow, Prometheus, Azure Machine Learning, Software Engineering, AI Infrastructure, Data Logging, Graphics Processing Unit (GPU), Cloud Platform System, Computer Network Technologies, Pytorch, Large Language Models, AI Platforms, Script Language, Kubernetes, Information Technology, Virtual Agents, Golang - **Published:** August 28, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-AI-Infrastructure-Software-Engineer---DGX-Cloud_JR2018042 ## About the Role * 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 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 Golang, Python, C/C++, script languages * Excellent communication and collaboration skills, and a culture of diversity, intellectual curiosity, problem solving, and openness are essential. Ways to stand out from the crowd: * Experience in working with the large scale AI cluster and cloud-native infrastructure * Strong 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 * Strong background in software design and development. ## 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. ## Related Videos - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)