Talent Pool: HPC Architect

This position is currently part of the Quantori Talent Pool, meaning it's not an active opening at the moment. However, we welcome the opportunity to discuss your interest and would be happy to chat with you about considering your CV for upcoming opportunities in this role.

Location:

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

Responsibilities:

• Network Optimization: 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
• Hybrid Architecture Design: Architect and deploy scalable HPC clusters using cloud-native HPC cluster managers and virtual compute (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)
• Infrastructure Portability: Define and maintain containerization standards using Apptainer (Singularity) or related technologies to ensure binary compatibility across heterogeneous hardware and environments
• 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

What we expect:

• Knowledge of HPC-with-cloud integration strategies, experience with technical feasibility planning
• Strong understanding of regulated enterprise R&D environments
• Understanding of 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 like Schrodinger, Jupyter, Matlab
• Experience with workflow engines

We offer:

• Competitive compensation
• Remote or office work
• 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