IonQ

Senior HPC Cluster Engineer

IonQ$145K — $209K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, engineering, or similar relevant experience.
  • 5+ years of experience with Linux systems on HPC clusters.
  • Familiarity with HPC workload schedulers like Slurm, PBS, or Grid Engine.
  • Proficient with Git and version control systems.
  • Experience with scripting and programming languages such as Python, Go, and Bash.
  • Knowledge of Ansible or similar configuration management tools.
  • Ability to deliver projects in a fast-paced, dynamic environment.

Responsibilities

  • Design, deploy, and operate HPC systems for quantum applications.
  • Develop automation tools for Linux system configuration in cloud and on-premises environments.
  • Support researchers and developers with simulations and workloads.
  • Build relationships with stakeholders across various teams.
  • Self-manage projects, prioritize tasks, and mitigate risks.
  • Become a go-to expert for HPC workload management within the company.

Benefits

  • Comprehensive medical, dental, and vision plans.
  • Matching 401(k) program.
  • Unlimited PTO and paid holidays.
  • Parental/adoption leave.
  • Legal insurance.
  • Home technology stipend.
Full Job Description
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.

If this role has a commission structure, the compensation range below just reflects the base compensation range.

Wage Transparency:

$145,920-$209,241 USD

Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401(k), unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment.

If you are interested in being a part of our team and mission, we encourage you to apply!

About IonQ

IonQ is a quantum computing company that is developing a general-purpose, full-stack quantum computer based on trapped ion technology. The company was founded in 2015 by Chris Monroe and Jungsang Kim. IonQ's quantum computer is designed to be scalable, error-corrected, and fault-tolerant, and is expected to be able to solve problems that are intractable for classical computers. The company has partnerships with Microsoft, Amazon Web Services, and others. IonQ has raised over $225 million in funding to date.
Learn more about IonQ
Size
100 employees
Market Cap
$633 million
Industry
Founded
2016
NASDAQ

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