> Markdown version of [/jobs/ext/1968726-ai-infrastructure-engineer](https://www.wearedevelopers.com/jobs/ext/1968726-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:** Zoom Video Communications, Inc. - **Location:** Seattle, WA, United States (Remote available) - **Experience:** Expert - **Salary:** $151,800.0 - $332,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, C++ (Programming Language), Cloud Computing, Nvidia CUDA, Computer Programming, Distributed Systems, Python (Programming Language), Machine Learning, Software Engineering, AI Infrastructure, Pytorch, Large Language Models, Deep Learning, Gpu Programming, Containerization, Kubernetes, Information Technology, Docker - **Published:** August 7, 2026 - **Apply:** https://www.juju.com/job/00000000gm0k9d ## About the Role We are seeking an experienced AI Infrastructure Engineer to join our AI Incubation team. You will be focused on building and optimizing large-scale training infrastructure for Large Language Models (LLMs). The ideal candidate will combine engineering fundamentals with practical experience in AI infrastructure development, demonstrating both technical depth and the ability to deliver scalable solutions for complex AI systems., + Have a bachelor's degree in Computer Science, Engineering, AI, Machine Learning, Distributed System or related field + 5+ years of software engineering experience with focus on infrastructure and systems + Have expertise in GPU programming and CUDA optimization + Have experience with container technologies (Docker, Kubernetes), distributed systems and cloud computing + Demonstrate experience building large-scale distributed systems and optimizing neural network performance + Possess programming skills in Python, C++, and CUDA, with deep learning frameworks (PyTorch, Transformers) ## Description + Designing and developing scalable AI infrastructure solutions for training and deploying large language models ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [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) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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)