AI/ML HPC Systems Administrator — Hybrid (Silicon Valley)

Scorpion Therapeutics; California (MO); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Scorpion Therapeutics seeks an HPC Systems Administrator to design, deploy, and maintain high-performance AI/HPC platforms in a hybrid Silicon Valley setting. You will support GPU-accelerated research workflows, optimize resource usage, and ensure reliable, secure compute services for discovery teams.

The role emphasizes scripting, automation, and collaboration with scientists and engineers to accelerate model training, evaluation, and experimentation across on-prem and cloud resources.

Qualifications

• Bachelor’s degree in Computer Science, Electrical/Computer Engineering, or related field.
• 5+ years supporting large-scale HPC, GPU, or distributed computing environments.
• Expertise in Linux administration, scripting (Python, Bash), automation tools (Ansible, Kubernetes), and cluster management (Slurm, Grid Engine).

Responsibilities

• Build, operate, and optimize scalable AI/HPC infrastructure across GPU, cloud, and on-premises environments.
• Enable efficient model training, inference, and experimentation.
• Automate workflows to improve productivity and reliability.
• Collaborate with scientists, engineers, and infrastructure teams to solve complex technical challenges.
• Ensure system security, performance, and cost efficiency.

Skills

Linux admin

Python

Bash

Ansible

Kubernetes

Slurm

Grid Engine

NVIDIA GPUs

Cloud platforms

Education

Bachelor's degree

Tools

Ansible

Kubernetes

Slurm

Grid Engine

Docker

Job description

Scorpion Therapeutics seeks an HPC Systems Administrator to design, deploy, and maintain high-performance AI/HPC platforms in a hybrid Silicon Valley setting. You will support GPU-accelerated research workflows, optimize resource usage, and ensure reliable, secure compute services for discovery teams.

The role emphasizes scripting, automation, and collaboration with scientists and engineers to accelerate model training, evaluation, and experimentation across on-prem and cloud resources.