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Novartis

Global pharmaceutical company delivering science-based innovations

HPC Infrastructure Architect - HPC Infrastructure Architect

DevOps & InfrastructureConfirmed live in the last 24 hours
Full-timePrague, CzechiaIn-person

About the Job

Requirements

  • At least 8 years of experience designing, building, or operating large-scale high-performance computing environments.
  • Proven expertise in high-performance computing platform architecture, capacity planning, and multi-cluster infrastructure design.
  • Strong experience supporting Linux-based compute clusters in enterprise or scientific computing environments.
  • Hands-on knowledge of workload schedulers such as Slurm, LSF, or comparable high-performance computing scheduling technologies.
  • Solid understanding of CPU and GPU infrastructure design, performance optimization, and benchmarking methodologies.
  • Experience with high-performance storage solutions, parallel file systems, and high-speed networking technologies, including InfiniBand and Ethernet fabrics.
  • Knowledge of containerized, reproducible scientific workflows and hybrid or cloud-based high-performance computing environments.
  • Familiarity with large-scale data management practices, including data replication, archiving, and infrastructure planning for power, cooling, and rack design.

Responsibilities

  • Own the high-performance computing reference architecture, including cluster topologies, CPU and GPU node designs, high-performance and tiered storage, interconnect fabric, schedulers, and the software stack supporting scientific workflows.
  • Define the scientific workload placement model for dedicated clusters, cloud bursting, and AI platforms based on performance, data gravity, cost, and compliance.
  • Produce and maintain capacity plans for compute, accelerators, storage, and network, including power, rack, and cooling requirements for data centre and colocation planning.
  • Establish data-locality and data-movement principles across instruments, laboratories, storage tiers, archive, and cloud, including replication and recovery approaches for irreplaceable scientific data.
  • Translate scientific requirements into sizing, benchmarking, and procurement input, and validate feasibility before engineering build.
  • Maintain architecture decision records for high-performance computing platform choices, connecting each choice to scientific outcome, cost, and lifecycle consequence.
  • Define the interface with AI infrastructure so shared accelerators, storage, and data pipelines are used coherently rather than duplicated.
  • Ensure high-performance computing designs meet security, quality, and regulatory expectations and can be operated by Infrastructure Operations after handover.
  • Engage scientific communities and research IT partners as the trusted architecture contact for high-performance computing.
  • Coach engineers and analysts, and act as a role model for the Novartis Values and Behaviours.

Desired Qualifications

  • Experience supporting research or scientific computing communities.
  • Work fluently with scientists and translate research needs into infrastructure terms; use a rigorous, evidence-based approach to sizing and benchmarking; apply long-horizon planning discipline; and collaborate across engineering, facilities, and research organizations.
  • Fluent written and spoken English; additional languages are an asset.

About the Company

Novartis

Global pharmaceutical company delivering science-based innovations

Novartis is a global pharmaceutical company that uses science-based innovations to develop treatments and improve patient outcomes worldwide. Its products are medicines developed through research and development to address various diseases, aiming to reach nearly 1 billion people. The company differentiates itself by large-scale investment in R&D, a global presence with a diverse workforce, and a clear mission to Reimagine Medicine, focusing on meeting the changing needs of patients. Its goal is to improve quality of life and extend life expectancy by delivering meaningful therapies through its research and development efforts.

Company size
10,001+
Company stage
IPO
Headquarters
Basel, Switzerland
Founded
1970

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