HPC Support Engineer - TS/SCI Required

Phoenix Operations Group

$90K — $120K *
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Active TS/SCI clearance required
  • Onsite availability in Charlottesville, VA
  • 5+ years supporting HPC or distributed compute workloads in Linux environments
  • Experience with workload schedulers like Slurm or PBS
  • Strong command-line skills in Linux (RHEL preferred)
  • Scripting or automation skills in Bash, Python, or similar languages
  • Ability to obtain DoD 8140 (8570) IAT Level II certification

Responsibilities

  • Support distributed compute workloads on HPC clusters
  • Troubleshoot job failures and performance issues
  • Assist users with scheduler job submission scripts
  • Identify and resolve performance bottlenecks
  • Support GPU-enabled workloads and CUDA processing
  • Guide users on efficient cluster utilization
  • Develop and maintain automation scripts

Benefits

  • 100% company paid medical, dental, and vision insurance
  • 100% company paid STD, LTD, and life insurance
  • 401K with automatic 10% company contribution
  • 4 weeks of paid time off per year
  • 11 paid holidays per year
  • Paid time off for birthdays
  • Referral bonuses both upfront and annually
  • Open source contributor bonuses for GitHub projects
  • Paid training and certification for professional development
Full Job Description
Job Type

Full-time

Description

HPC Support Engineer - Charlottesville, VA (100% Onsite) - Active TS/SCI Clearance Required

About the Role

Phoenix is seeking an HPC Support Engineer to support users executing computational workloads within advanced Linux-based High Performance Computing (HPC) environments. This role is essential to ensuring efficient, reliable execution of distributed workloads, scientific simulations, and GPU-accelerated processing.

You will work directly with users and systems in a cluster-scale environment, helping optimize job performance, troubleshoot issues, and promote HPC best practices.

What You'll Do
  • Support execution of distributed compute workloads on HPC clusters
  • Troubleshoot job failures and performance issues
  • Assist users with scheduler job submission scripts (e.g., Slurm, PBS)
  • Identify and resolve performance bottlenecks across compute workloads
  • Support GPU-enabled workloads and CUDA-based processing
  • Guide users on efficient cluster utilization and HPC best practices
  • Assist with application execution, compilation, and runtime issues
  • Develop and maintain automation scripts and tooling
Required Qualifications
  • Active TS/SCI clearance
  • Ability to work onsite in Charlottesville, VA
  • 5+ years of experience in Linux environments supporting HPC or distributed compute workloads
  • Experience executing or troubleshooting workloads using:
    • Slurm
    • PBS / PBS Pro
    • Torque or similar schedulers
  • Strong command-line Linux experience (RHEL preferred)
  • Experience with scripting or automation (Bash, Python, or similar)
  • Ability to obtain DoD 8140 (8570) IAT Level II certification
Preferred Qualifications
  • Experience supporting HPC cluster environments
  • Experience with MPI, OpenMP, or parallel computing frameworks
  • Experience supporting GPU workloads and CUDA environments
  • Familiarity with scientific or engineering applications in HPC environments
  • Experience with C/C++ or Fortran and compiler toolchains (GCC, Intel, LLVM)
  • Experience troubleshooting application build or runtime issues
  • Experience supporting research labs, university HPC, or defense environments
Technical Environment

You'll work in a cutting-edge environment that includes:
  • Multi-node Linux HPC clusters
  • Workload schedulers (Slurm, PBS)
  • Distributed computing frameworks (MPI, OpenMP)
  • GPU-enabled compute (CUDA)
  • High-performance networking (RDMA, InfiniBand)
What Makes a Strong Candidate

Top candidates typically come from:
  • HPC workload support or user-facing engineering roles
  • Research computing or university HPC centers
  • National labs or scientific computing environments
  • Defense or intelligence community computing programs
How to Apply

Qualified candidates should submit resumes that clearly highlight:
  • HPC workload execution or troubleshooting experience
  • Scheduler expertise (Slurm, PBS, etc.)
  • Linux-based compute environment experience
  • Distributed workload performance tuning
  • Automation and scripting experience

Benefits Offered:

Medical, Dental, Vision Insurance - 100% Company Paid Premiums

STD, LTD, and Life Insurance - 100% Company paid

401K - Automatic 10% company contribution; no matching required

PTO - 4 weeks/year

Holidays - 11 paid/year

Birthdays off with pay

Referral Bonuses - Upfront AND Annually Recurring

Open Source Bonuses - Contribute to our Github projects

Professional Development - Paid training, Certifications, and Enrichment

Please visit us at http://www.phoenix-opsgroup.com for more information.

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