HPC Architect

Workplace: remote 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 excellence Define and maintain containerization standards using contanerization 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 planning Excellent communication skills Strong understanding of regulated enterprise R&D environments Understanding 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-sciences Experience in specific applications in life-sciences, Jupyter, Matlab Network Engineering We offer : Competitive compensation Remote or office work Flexible working hours Healthcare benefits: medical insurance and paid sick leave Continuous education, mentoring, and professional development programs A team with an excellent tech expertise Certifications paid by the company