Senior Computational Architect – HPC, AI & Research IT

St Jude Children's Research Hospital

Memphis (TN)

On-site

USD 114,000 - 216,000

Full time

14 days+
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Job summary

St. Jude Children's Research Hospital invites a Principal Computational Engineer to provide technical leadership for advanced computing environments and software ecosystems supporting researchers.

The role leads design, evaluation, and implementation of scalable HPC, cloud, AI/ML platforms, and data management, partnering with researchers, data scientists, software engineers, and institutional stakeholders.

Qualifications

  • Master's degree in computer science, data science, information science, mathematics, or a related field.
  • PhD preferred.
  • Minimum 8+ years of progressive experience developing, optimizing, or maintaining scientific or computational applications.
  • Proven history of delivering complex projects and cross-disciplinary collaboration.

Responsibilities

  • Provide long-term, sustainable, and scalable technical vision and strategy for ongoing IS efforts to support basic science and translational research.
  • Oversee definition and execution of IS technology strategy in line with research needs.
  • Lead feasibility studies, time and cost estimates, and development and implementation of new or revised computational applications and systems.
  • Oversee implementation of security, and performance monitoring of computational software applications.
  • Provide project management guidance to teams for delivery within timelines and budget.

Skills

OpenMP
MPI
Pthreads
UNIX/Linux scripting
High-performance computing
Software engineering
Research computing

Education

Master's degree in computer science or related field
PhD preferred

Tools

Slurm
LSF
Kubernetes

Job description

St. Jude Children's Research Hospital invites a Principal Computational Engineer to provide technical leadership for advanced computing environments and software ecosystems supporting researchers.

The role leads design, evaluation, and implementation of scalable HPC, cloud, AI/ML platforms, and data management, partnering with researchers, data scientists, software engineers, and institutional stakeholders.

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