Senior HPC Platform Engineer – Scale Global Compute

Xenon Seven; Cleveland (OH); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Attractive, market-leading salary

Clear career advancement path

Job summary

Xenon7 is seeking an HPC Platform Engineer to lead design, build, and operations of scalable HPC platforms. You will enable analytical and scientific computing across hybrid environments, collaborating with researchers to optimize performance and reproducibility.

You will work with GPUs, HPC schedulers, and container technologies (Docker, Apptainer) while applying DevOps practices. A strong Linux foundation and automation drive success in this role.

Qualifications

• Bachelor's degree in computer science, information technology, or related technical field.
• 5+ years' experience HPC Platform Engineer.
• Demonstrated experience leading a global large-scale infrastructure project.

Responsibilities

• Lead the engineering and operations of design, build, and maintain scalable HPC platforms.
• Enable HPC infrastructure and experiences.
• Collaborate with researchers to optimize performance and workflows.
• Leverage tooling and automation for orchestration, resource scheduling, data access, and reproducibility.
• Evolve and operate public cloud and on‑prem environments with focus on availability and performance for HPC workloads.
• Define and monitor infrastructure metrics and resource utilization.

Skills

HPC platforms

GPU accelerators

HPC schedulers

Kubernetes

Containers (Docker, Apptainer)

DevOps tools (GitHub, Chef, Ansible,-T

Education

Bachelor's degree in CS/IT or related field

5+ years HPC Platform Engineer experience

Experience leading global infra projects

Tools

Altair Grid Engine

Slurm

Docker

Apptainer

Kubernetes

GitHub

Chef

Ansible

Terraform

Job description

Xenon7 is seeking an HPC Platform Engineer to lead design, build, and operations of scalable HPC platforms. You will enable analytical and scientific computing across hybrid environments, collaborating with researchers to optimize performance and reproducibility.

You will work with GPUs, HPC schedulers, and container technologies (Docker, Apptainer) while applying DevOps practices. A strong Linux foundation and automation drive success in this role.