Talent Pool: HPC Architect

Quantori; Deutschland; On-site; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Competitive compensation

Remote or office work

Healthcare benefits: medical insurance and paid sick leave

Continuous education and professional development programs

Certifications paid by the company

Job summary

Quantori is part of an international team looking for candidates experienced in implementing high-performance networking solutions and architecting scalable HPC clusters. Responsibilities include network optimization and defining containerization standards. Candidates should have a deep understanding of Amazon VPC, Google Cloud, and Azure networking.

The role offers competitive compensation and the flexibility to work remotely or from the office, alongside healthcare benefits and opportunities for continuous education.

Qualifications

• 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.

Responsibilities

• Implement high-performance networking solutions for low-latency MPI applications.
• Architect and deploy scalable HPC clusters using cloud-native HPC cluster managers.
• Define and maintain containerization standards using Apptainer or related technologies.

Skills

HPC-with-cloud integration strategies

Amazon VPC networking

Google Cloud networking

Azure networking

Tools

AWS ParallelCluster

Azure CycleCloud

Google Cloud Cluster Toolkit

Job description

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