Storage Engineer

About Sferical AISferical AI is a company co-founded by AstraZeneca, Ericsson, Saab, SEB and Wallenberg Investments. We provide a secure, sovereign AI infrastructure and high-performance compute to help leading Swedish companies develop and deploy advanced AI with real business impact.The infrastructure will be powered by NVIDIA DGX SuperPODs featuring the latest Grace Blackwell GB300 systems, delivering world-class performance for both production workloads and research. As part of the initiative, NVIDIA will establish an AI technology and development center in Sweden, supporting capability building across the partner companies.Sferical AI is now building the core DevOps team that will develop and operate this platform. The DevOps team will be based in central Stockholm, while the AI hardware infrastructure is hosted in Linköping. The role is on-site, with room for hybrid flexibility.About the roleWe are looking for a Storage Engineer with deep expertise in both traditional and modern object- and file-based storage. In this role, you’ll design, manage and optimize the storage environments that support Sferical’s AI supercomputing platform, including solutions tailored for high-performance computing workloads.This position is well-suited for someone who enjoys solving complex technical challenges, improving performance and ensuring high availability in demanding environments.What you’ll doDesign, operate and monitor storage platforms, including HPC file systemsWork with storage solutions for IT infrastructure systems, S3-compatible environments and file systems supporting the NVIDIA SuperPODEnsure optimal performance, scalability and reliability for critical workloadsWho you areYou enjoy digging into performance, reliability and optimization questionsYou’re comfortable working in large, complex storage environmentsYou’re structured, analytical and able to collaborate with both infrastructure and AI engineering teamsGiven the security clearance needed for this role, Swedish citizenship is requiredQualificationsExperience with storage infrastructure in enterprise and HPC environmentsExpertise in storage optimization and performance tuning for AI/ML workloads in HPCHands-on experience with S3Strong understanding of replication, snapshots, redundancy and backup strategiesPreferred: Experience with software-defined storage (SDS)Stand out: Experience of HPC solutions together with High Performance Storage implementationsWhat we offerThe opportunity to help shape Sweden’s industrial AI capability from the ground upA strong professional network across some of Sweden’s leading companies and global tech leader NVIDIAA highly skilled and motivated team that values diversity and collaboration across disciplines and backgroundsHands-on work with world-leading AI infrastructure and applicationsCompetitive salary and benefitsIf this sounds like a role where you would thrive, we’d love to hear from you. Please apply directly through LinkedIn and include your CV and a short cover letter. How the process will workWe want the recruitment process to feel clear and respectful of your time. All applicants will be invited to complete a short digital assessment as the first step, which helps us understand each candidate’s potential before we move to interviews. We review applications on a rolling basis, and selected candidates will then be invited to speak with the team. The aim is to keep the process structured, straightforward and focused on finding the right match for both you and Sferical. We look forward to hearing from you!