Senior HPC Cluster Engineer

Location: This role is based out of our College Park, MD, Boulder, CO, or Bothell, WA offices. We offer a hybrid work model, allowing for remote work a few days per week.

Travel: Up to 15%, domestic and international.

Job ID: 1750

The Role:

We're looking for an HPC Cluster Engineer to join our Infrastructure Team. Our mission is to build and operate the internal high-performance computing platform that IonQ's researchers and application developers rely on to advance quantum computing.

In this role, you'll help design, build, and maintain an HPC platform that spans on-premises and cloud clusters. Day to day, that means developing automation tooling, configuring infrastructure at scale, and helping scientific users get the most out of their workloads.

You'll also work closely with the rest of the Infrastructure Team to integrate the HPC platform with the other systems behind IonQ's quantum computers. This role will be a great fit if you enjoy working alongside researchers and want your work to directly accelerate scientific computing.

Responsibilities:

• Design, deploy, and operate high-performance computing systems for running quantum simulations and applications.
• Develop automation and tooling for configuring Linux systems both on-premises and in the cloud.
• Support IonQ's internal researchers and software developers as they run simulations and other workloads.
• Build technical relationships with stakeholders across teams running a wide variety of workloads.
• Self-manage your projects, priorities, and deadlines; identify, track, and mitigate roadblocks and technical risks.
• Grow into a go-to resource for configuring, automating, and running HPC workloads within IonQ's technical community.

You'd be a good fit with:

• Bachelor's degree in computer science, engineering, or equivalent practical experience — non-traditional backgrounds are welcome and encouraged!
• 5+ years working with Linux systems on HPC clusters, including areas like cluster management, performance tuning, and resource management.
• Familiarity with HPC workload schedulers such as Slurm, PBS, or Grid Engine.
• Comfort with Git or other version control systems for managing source code and system configurations.
• Proficiency with scripting and programming languages such as Python, Go, and Bash.
• Experience with Ansible or another configuration-management and system-automation tool.
• Experience delivering projects in a fast-moving, sometimes ambiguous environment.

You'd be a great fit with:

• Experience running scientific applications on a Slurm HPC cluster.
• Experience deploying and operating HPC clusters using NVIDIA GPUs.
• Experience with high-performance networking fabrics such as InfiniBand or RoCE.
• Experience with Linux container tools such as Docker, Podman, Singularity, or Enroot.
• Experience running web services and other long-running containerized workloads with Kubernetes.
• Experience deploying HPC clusters on GCP or AWS.
• A research-computing background supporting an academic, national-lab, or industry research community.
• Exposure to quantum physics, quantum computing, and/or quantum information science.

The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.