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HPC Architect

quantoriEngineering & Development
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Worldwide
Work type
Remote
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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 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
If you don't see an open position that suits your skills stack and/or professional background but you are interested in working with us — please send your CV to career@quantori.com. We will try to find something special and interesting for you!

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