> Markdown version of [/jobs/ext/1886888-ai-infrastructure-engineer](https://www.wearedevelopers.com/jobs/ext/1886888-ai-infrastructure-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Infrastructure Engineer - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $152,000.0 - $241,500.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Java (Programming Language), Artificial Intelligence, Systems Engineering, C++ (Programming Language), Cloud Computing, Databases, Continuous Delivery, Linux, Distributed Systems, Python (Programming Language), Open Source Technology, OpenStack, Reliability Engineering, Cloud Services, Software Engineering, Systems Architecture, AI Infrastructure, Private Cloud Environment, Scripting, Graphics Processing Unit (GPU), System Availability, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Slurm, Terraform, Golang - **Published:** July 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-ai-infrastructure-engineer-dgx-cloud-santa-clara-ca--81263df6-8472-43e4-abb7-e78d4444c89d ## About the Role NVIDIA is looking for an outstanding, passionate, and dedicated Senior AI Infrastructure Engineer to join our DGX Cloud group. This engineering role will design, build and maintain large-scale production systems with high efficiency and availability using a combination of software and systems engineering practices. This role demands knowledge across different systems, networking, coding, databases, capacity management, continuous delivery and deployment, and open-source cloud-enabling technologies like Kubernetes and OpenStack., * BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience. * 5+ years of experience. * A track record showing a good balance between initiating your own projects, convincing others to collaborate with you, and collaborating well on projects initiated by others. * Background in infrastructure automation and distributed systems architecture focused on building tools to manage large-scale private or public cloud platforms in production. * Experience working with one or more of the following languages: Python, Go, C/C++, Java. * Comprehensive understanding in one or more of Linux, Networking, Storage, and Containers Technologies. * Experience with Public Cloud and Infrastructure as a Code (IAAC) and Terraform. * Distributed system experience. Ways to Stand Out from the Crowd: * Interest in crafting, analyzing, and fixing large-scale distributed systems. * Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive. * Capability to identify issues and improve code performance while automating routine tasks. Experience in operating or handling large private and public cloud systems based on Kubernetes or Slurm., Artificial Intelligence (AI), Automation, C Programming Language, C++ Programming Language, Capacity Management, Capacity and Performance Management, Cloud Computing, Communication Skills, Computer Science, Consulting, Continuous Deployment/Delivery, Customer Support/Service, Distributed Computing, Diversity, GPU (Graphics Processing Unit), Go Programming Language (Golang), High Availability, Identify Issues, Incident Response, Java, Large-Scale Systems, Linux Operating System, Machine Tool, Mathematics, Mentoring, On Call, Open Source, Performance Analysis, Performance Management, Physics, Private Cloud, Problem Solving Skills, Production Support, Production Systems, Public Cloud, Python Programming/Scripting Language, Reliability Engineering, Risk, Service Delivery, Software Design, Software Development, Software Engineering, System Architecture, Systems Engineering, Systems Maintenance ## Description The DGX Cloud SRE at NVIDIA ensures our GPU cloud services deliver maximum reliability and uptime. They carefully prepare and plan changes to the system. They also manage capacity and performance. NVIDIA values diversity, curiosity, problem-solving, and openness. Our team includes people with varied backgrounds and perspectives. We encourage collaboration, big thinking, and risk-taking without blame. We promote self-direction on meaningful projects. We also provide support and mentorship to foster learning and growth. What You'll Be Doing: * Design, build, deploy, and run internal tooling for large-scale AI training and inferencing platform built on top of cloud infrastructure. * Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters. * Engage in and improve the whole lifecycle of services-from inception and design through deployment, operation, and refinement. * Support services before they become available through activities such as system design consulting, developing software tools, platforms, and frameworks, capacity management, and launch reviews. * Maintain services once they are live by measuring and monitoring availability, latency, and overall system health. * Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity. * Practice sustainable incident response and blameless postmortems. * Be part of an on-call rotation to support production systems. ## Related Videos - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [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) - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) ## Related Articles - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [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) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)