Engineer - HPC Platform

Xenon7•Indianapolis, IN

About The Position

The HPC Platform Engineer will enable analytical, statistical, and scientific computing capabilities within high-performance computing infrastructure for the client’s Cardiometabolic Research Therapeutic Area. The role involves engineering and operating the design, build, and maintenance of scalable HPC platforms and enabling HPC infrastructure and user experiences. The engineer will collaborate with researchers and scientists to optimize performance and streamline workflows, use tooling and automation for orchestration, resource scheduling, data access, and reproducibility, and evolve and operate public cloud and on-premises environments with an emphasis on availability and performance. The position also includes defining and monitoring infrastructure metrics and resource utilization.

Requirements

Hands-on experience with HPC platforms, including accelerators such as GPUs, HPC schedulers such as Altair Grid Engine or Slurm, Kubernetes platforms, and container technologies such as Docker or Apptainer.
Demonstrated experience with HPC workloads, infrastructure, and cluster architectures.
Expertise in the Linux command line, Linux troubleshooting, and HPC administration.
Experience with DevOps tools such as GitHub, Chef, Ansible, and Terraform.
Experience automating infrastructure and applications.
Strong programming and scripting skills in languages such as Python or Bash.
Bachelor’s degree in computer science, information technology, or a related technical field.
At least 5 years of experience as an HPC Platform Engineer.
Demonstrated experience leading a global, large-scale infrastructure project.
Passion for continual learning and staying informed about new HPC technologies, infrastructure trends, and approaches.

Responsibilities

Engineer and operate the design, build, and maintenance of scalable HPC platforms.
Enable HPC infrastructure and computing experiences.
Collaborate with researchers and scientists to optimize performance and streamline workflows.
Use tooling and automation for orchestration, resource scheduling, data access, and reproducibility.
Evolve and operate public cloud and on-premises environments, focusing on availability and performance for HPC workloads.
Define and monitor infrastructure metrics and resource utilization.
Identify opportunities to accelerate the HPC journey and advance initiatives supporting critical business projects.
Continue learning about new HPC technologies and solutions.