HPC Architect

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 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.
• 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

• 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.
• 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

• Competitive compensation
• Remote or office work
• Healthcare benefits: medical insurance and paid sick leave
• Continuous education, mentoring, and professional development programs

Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.