HPC Architect

We are looking for an experienced cloud-oriented (or hybrid) HPC Architect (cloud and on-prem) to design, optimize, and manage high-performance computing systems.Location:Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.Responsibilities:Hybrid Architecture Design: Architect and deploy scalable HPC clusters using on-prem and/or cloud-native HPC cluster managers (e.g., AWS ParallelCluster + Amazon EC2 / Azure CycleCloud + Azure VM Scale Sets / Google Cloud Cluster Toolkit or similar + Compute Engine), ensuring seamless integration with on-premises schedulers. Proven expertise with HPC schedulers and orchestration patterns (e.g., Slurm, cloud HPC cluster orchestration, batch orchestration)Design and optimize data architectures for large-scale HPC workloads, including high-throughput data movement between on-premises and cloud environments and integration with parallel file systems. Ensure data access, lifecycle, and reproducibility patterns to support scientific computing performance and operational requirements.Design and implement high-performance networking solutions, including private dedicated connectivity and low-latency HPC interconnects (e.g., AWS Direct Connect / Azure ExpressRoute / Google Cloud Interconnect; AWS EFA / Azure HPC fabrics e.g. IB/ GCP HPC interconnect options etc.), to support low-latency MPI applications. Design high I/O workloads (parallel file system patterns) (e.g., AWS / GCP / Azure Managed Lustre or parallel FS deployments and/or self-managed Lustre/GPFS/BeeGFS), observability, reproducibility and operational excellenceDefine and maintain containerization standards using containerization and related technologies to ensure binary compatibility across heterogeneous hardware and environments. What we expect:Knowledge of HPC-with-cloud integration strategies, experience with technical feasibility planningExcellent communication skillsStrong understanding of regulated enterprise R&D environmentsUnderstanding scientific computing reproducibility requirements, relying on enterprise standard tooling.Deep understanding of Amazon VPC /Google Cloud / Azure networking, peering and security group configurations. Nice to have: Experience in life-sciencesExperience in specific applications in life sciences, Jupyter, MatlabNetwork Engineering We offer:Competitive compensationRemote or office workFlexible working hoursHealthcare benefits: medical insurance and paid sick leaveContinuous education, mentoring, and professional development programsA team with an excellent tech expertiseCertifications paid by the company