25 sep
|
Quantori
|
Madrid
Location:
Haga clic en "Solicitar" a continuación para enviar su candidatura. Asegúrese de que su CV está actualizado y de que ha leído primero las especificaciones del puesto.
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 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 planning
Strong understanding of regulated enterprise R&D; environments
Understanding scientific computing reproducibility requirements, relying on enterprise standard tooling. xhfqzwm
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
We offer:
Competitive compensation
Remote or office work
Healthcare benefits: medical insurance and paid sick leave
Continuous education, mentoring, and professional development programs
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📌 Hpc Architect (Madrid)
🏢 Quantori
📍 Madrid