[Hiring] Junior HPC Applications Engineer @Parallel Works

Role Description

Parallel Works is hiring a Junior HPC Applications Engineer to support the researchers and engineers running work on our platforms. The role handles first line support: build failures, batch script problems, environment issues, and the first diagnosis on failed jobs.

It suits someone who has run scientific or machine learning workloads on a cluster as a user and wants to move to the other side of the ticket. Our users work across on-premises clusters, cloud, and commercial GPU providers, and the same question often has a different answer in each. The role works alongside a senior applications engineer, building software stacks for users and handling second tier diagnosis after about a year.

What you will do

• First line support: own incoming tickets, reproduce the problem, resolve what you can, and escalate the rest with a diagnosis attached.
• Batch scripts: write, debug, and tune Slurm submission scripts with users, including GPU requests, array jobs, and resource sizing.
• Environments and modules: build and install user requested software under senior review, and maintain module and container environments.
• Onboarding: walk new users through access, storage layout, and first jobs when a cluster comes online.
• Documentation: user guides and FAQ entries that cut repeat tickets.
• Coverage rotation: a support coverage rotation. Some engagements carry coverage outside standard United States business hours, agreed in advance.

Qualifications

• 2 or more years supporting users on Linux systems, or running scientific or machine learning workloads on a cluster as a practitioner.
• Comfort on the Linux command line, including building software from source.
• Writing and debugging batch scripts under Slurm, PBS, or LSF.
• Proficiency with Python, plus either a machine learning framework or a domain scientific code.
• Writing a complete, correct answer to a user in plain language.

Preferred Qualifications

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

Benefits

• Medical, vision, and dental coverage.
• A 401(k) with company match.
• Short term disability.
• Generous paid vacation and sick time.

Equal Employment Opportunity

Parallel Works is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law.