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Parallel Works

HPC and AI workload orchestration platform

Junior HPC Applications Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA$75k - $85k

About the Job

Requirements

  • At least 2 years supporting users on Linux systems, or running scientific or machine learning workloads on a cluster as a practitioner.
  • Comfort using the Linux command line, including building software from source.
  • Ability to write and debug batch scripts under Slurm, PBS, or LSF.
  • Proficiency with Python and either a machine learning framework or a domain scientific code.
  • Ability to write a complete, correct answer to a user in plain language.
  • United States citizenship and eligibility for a Secret clearance are required; an active clearance is helpful but not required. Candidates eligible but not currently cleared may be sponsored.

Responsibilities

  • Own incoming support tickets, reproduce problems, resolve what is possible, and escalate remaining issues with an attached diagnosis.
  • Write, debug, and tune Slurm submission scripts with users, including GPU requests, array jobs, and resource sizing.
  • Build and install user-requested software under senior review, and maintain module and container environments.
  • Guide new users through access, storage layout, and their first jobs when a cluster comes online.
  • Write user guides and FAQ entries to reduce repeat tickets.
  • Participate in a support coverage rotation; some engagements require coverage outside standard United States business hours, agreed in advance.

Desired Qualifications

  • Experience with Spack, EasyBuild, or Lmod.
  • Experience with multi-GPU or multi-node jobs.
  • Use of containers such as Apptainer, Singularity, or Docker.
  • Exposure to profiling or debugging tools.
  • Graduate coursework, a research computing background, or experience on a university or laboratory HPC help desk.

About the Company

Parallel Works

HPC and AI workload orchestration platform

Parallel Works provides ACTIVATE, a computing control plane that orchestrates HPC and AI workloads across on-premises, cloud, and hybrid environments. It lets teams provision, manage, and share compute resources for simulations, data analytics, and other compute-heavy tasks through a central interface, coordinating job scheduling, data movement, and resource provisioning across multi-cloud infrastructure. Its cross-environment orchestration capability and its Argonne National Laboratory origins differentiate it from competitors by focusing on broad access to HPC and AI capabilities for scientific research and engineering. The goal is to simplify complex computational workflows so organizations can focus on research and development rather than IT infrastructure.

Company size
11-50
Company stage
Seed
Total funding
$870K
Headquarters
Chicago, IL
Founded
2015

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