> Markdown version of [/jobs/ext/2572320-senior-ai-storage-infrastructure-engineer](https://www.wearedevelopers.com/jobs/ext/2572320-senior-ai-storage-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). --- # Senior AI Storage Infrastructure Engineer - **Company:** Bitdeer Technologies Group - **Location:** Austin, TX, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Debugging, Linux, Disk Arrays, File Systems, Distributed Data Store, InfiniBand, Machine Learning, Network Protocols, Performance Tuning, Posix, Remote Direct Memory Access, Ansible, Weka, Graphics Processing Unit (GPU), Large Language Models, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Low Latency, Terraform, Nvme - **Published:** August 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=cea8f0e234e3cd96 ## About the Role * Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. * 5+ years of experience in distributed storage systems and high-performance file systems, with a deep understanding of POSIX compliance and file I/O semantics. * Deep expertise in the Kubernetes CSI paradigm, including building or extending volume plugins and storage operators. * Strong hands-on experience with block/file I/O at the Linux OS level and kernel-level performance tuning. * Familiarity with high-throughput networking protocols (RDMA, InfiniBand, RoCE) and how they interact with storage subsystems. * Proven track record of operating, debugging, and scaling large-scale storage environments in production or HPC settings. * Experience with infrastructure automation tools (e.g., Terraform, Ansible) and CI/CD pipelines. * Excellent technical communication skills, with the ability to influence cross-functional architectural decisions. * Experience working in high-velocity, high-growth engineering environments is strongly preferred. ## Description We are seeking a Senior AI Storage Infrastructure Engineer to build the critical data-delivery fabric of our AI-native NeoCloud. AI model training and inference are profoundly I/O intensive; you will be responsible for architecting high-performance storage solutions that eliminate bottlenecks and ensure GPUs are constantly saturated with data. This role sits at the intersection of distributed storage, kernel-level I/O, and Kubernetes orchestration. You will design the pathways-from NVMe-backed local caching for massive LLM weights to parallel file system integration-that enable seamless, low-latency access for large-scale distributed training and inference workloads., * Design, deploy, and maintain robust Container Storage Interface (CSI) drivers for high-performance parallel file systems (e.g., Weka, Lustre, DAOS, VAST). * Architect and implement GPUDirect Storage (GDS) integrations to enable direct memory access (DMA) between NVMe drives and GPU memory, bypassing CPU bottlenecks. * Develop and manage local NVMe caching strategies for rapid, low-latency loading of massive model weights and datasets during distributed training. * Optimize IOPS, throughput, and latency profiles across the entire containerized storage stack, from the storage array to the container runtime. * Collaborate with the GPU Systems & Fabric team to ensure the storage layer is fully optimized for RDMA and high-speed interconnects (InfiniBand, RoCE). * Implement automated monitoring and alerting for storage performance, detecting and mitigating I/O contention or hardware degradation before it impacts production jobs. * Define storage policies, quota management, and multi-tenancy isolation strategies within Kubernetes to ensure fair resource sharing for customer workloads. * Mentor junior engineers and drive architectural design reviews to maintain high standards of reliability and performance across the infrastructure team. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [TiDB, One Layer at a Time: How Distributed SQL Became an Agentic AI Backbone](https://www.wearedevelopers.com/videos/100117-tidb-one-layer-at-a-time-how-distributed-sql-became-an-agentic-ai-backbone) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [Discover the open source trio you didn’t expect: .NET and PostgreSQL on Linux](https://www.wearedevelopers.com/videos/2042-discover-the-open-source-trio-you-didn-t-expect-net-and-postgresql-on-linux) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)