HPC Support Engineer - TS​/SCI Charlottesville, VA Charlottesville, VA

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

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.

• 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

• 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
• Experience with scripting or automation (
  Bash, Python, or similar
  )
• Ability to obtain DoD 8140 (8570) IAT Level II certification

• 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 tool chains (GCC, Intel, LLVM)
• Experience troubleshooting application build or runtime issues
• Experience supporting research labs, university HPC, or defense environments

You’ll work in a cutting-edge environment that includes:

• Distributed computing frameworks (MPI, OpenMP)
• GPU-enabled compute (CUDA)
• High-performance networking (RDMA, Infini Band)

Top candidates typically come from:

• Research computing or university HPC centers
• National labs or scientific computing environments
• Defense or intelligence community computing programs

Qualified candidates should submit resumes that clearly highlight:

• HPC workload execution or troubleshooting 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

ABOUT PHOENIX OPERATIONS GROUP:

Phoenix Operations Group is a high-end engineering services company dedicated to protecting and advancing our national cyber resources. As a small company, we rely on innovation to continually advance our employees' skills and provide game-changing solutions to our customers.

Our technical competencies include Big Data analytics (batch and streaming), Cloud Computing infrastructure, multi-INT visualization, and enterprise architectures. We support operational missions (All-Source, Financial, CND) and serve as Product Owners for our open-source research initiatives.

Phoenix Operations Group is an Equal Opportunity Employer. Phoenix Operations Group does not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business needs.