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Slurm Jobs in Reston, VA (NOW HIRING)

DeepSig Inc Careers Page

DevOps Engineer

Arlington, VA · On-site

$60.75 - $83.25/hr

AWS, GitLab, MinIO, Nexus, Conan, PyPI, Docker, Slurm, MLFlow, Optuna, Prometheus, Grafana, Terraform * Experience with modern Ubuntu/Debian Linux, containerization services, virtualization ...

DeepSig Inc

DevOps Engineer

Arlington, VA · Hybrid

$60.75 - $83.25/hr

AWS, GitLab, MinIO, Nexus, Conan, PyPI, Docker, Slurm, MLFlow, Optuna, Prometheus, Grafana, Terraform * Experience with modern Ubuntu/Debian Linux, containerization services, virtualization ...

GDIT

HPC Technical Lead

Gaithersburg, MD · Hybrid

$211K - $286K/yr

Experience with Slurm, TORQUE/Moab, GPFS, Lustre, MPI, or containerized scientific environments. * Experience with genomics, nextgeneration sequencing, or bioinformatics pipelines. * Knowledge of ...

Guidehouse

Bioinformatics Scientist

Bethesda, MD · On-site

$65K - $108K/yr

Practical knowledge of and experience working with SLURM-managed high-performance computing (HPC) clusters. * Strong analytical, statistical, and problem-solving skills. * Experience with next ...

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$11.4K

$110.7K

$221.1K

How much do slurm jobs pay per year?

As of Sep 5, 2026, the average yearly pay for slurm in Reston, VA is $110,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,700.00 and $213,300.00 per year, depending on experience, location, and employer.

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Slurm jobs near you
Infographic showing various Slurm job openings in Reston, VA as of August 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $110,727 per year, or $53.2 per hour.

GPU Systems Engineer 4

Base-2 Solutions, LLC

Bethesda, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

  • Requisition ID: 4055
  • Standard Title: Senior GPU Systems Engineer
  • Required Security Clearance: Top Secret/SCI
  • Location: Bethesda, MD
  • Work Type: On-Site
  • Shift: First
  • Referral Eligibility: Eligible
  • U.S. Citizenship Required? Yes

Position Summary
Support enterprise AI mission systems by designing, developing, and optimizing GPU clusters, with deep focus on operating systems, hardware, GPU platforms, and high-speed networking in a secure customer environment.
Essential Duties and Responsibilities
  • Design, configure, and maintain GPU clusters.
  • Collaborate with a multidisciplinary team to define and optimize architectures for performance, power efficiency, and required features.
  • Work closely with AI/ML engineers to integrate GPUs with Linux-based systems.
  • Optimize GPU drivers for compatibility, reliability, and performance.
  • Analyze GPU performance, identify bottlenecks, and develop strategies to improve efficiency across hardware and software layers.
  • Build and maintain debugging tools, profiling utilities, and performance analysis software for Linux environments.
  • Leverage Bash, Python, Ansible, Puppet, and Salt for tooling and automation.
  • Maintain technical documentation, architectural specifications, and Linux best practices.
  • Support ATO activities and ensure compliance with federal security standards.
Required Qualifications
  • Active TS/SCI with ability to obtain a CI Polygraph.
  • Bachelor's degree with a minimum of ten years of experience in the category field.
  • Experience managing NVIDIA GPU data center platforms, including DGX, HGX, H200, H100, and L4s.
  • Knowledge of enterprise server components, including storage/network controllers, HBAs, and SSDs.
  • Strong expertise with Linux distributions, including RHEL, Ubuntu, Oracle, and Rocky.
  • Excellent problem-solving skills and the ability to collaborate within a team.
  • Meet DoD 8570.11 IAT Level II certification requirements at a minimum; IAT Level III is also acceptable.
  • U.S. citizenship is required due to the nature of the government contracts supported.
Preferred Qualifications
  • Experience with Kubernetes cluster management and AI/ML workflow orchestration, including Argo, Airflow, and Kubeflow.
  • Familiarity with GPU virtualization and cloud computing.
  • Experience with Prometheus and Grafana for monitoring.
  • Knowledge of distributed resource scheduling systems such as Slurm, LSF, or similar tools.
Required Education and Experience Equivalency
  • Bachelors' Degree with 10 years of experience.
  • Masters' Degree with 10 years of experience.
  • PhD with 10 years of experience.
Required Certifications
  • DoD 8570.11 IAT Level II certification: Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP.
Required Security Clearance
  • Active TS/SCI with ability to obtain a CI Polygraph.

Pay & Benefit Highlights
Compensation
  • Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity).
  • Employee referral bonuses up to $10,000 per hired referral.
  • Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent).
Health
  • 100% company-paid medical premiums for employees and eligible dependents.
  • Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans.
  • 100% company-paid dental premiums for employees and eligible dependents.
  • 100% company-paid vision premiums for employees and eligible dependents.
Income Protection
  • 100% company-paid premiums for short-term disability.
  • 100% company-paid premiums for long-term disability.
  • 100% company-paid premiums for accidental death & dismemberment (AD&D).
  • 100% company-paid premiums for life insurance up to $200,000.
Retirement
  • 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
  • 401(k) pre-tax and Roth options.
Leave
  • Up to 20 days of flexible paid time off (PTO).
  • 11 paid floating holidays.
Work-Life Balance
  • Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).

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