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Slurm Jobs in Reston, VA (NOW HIRING)

Experience with NVidia, Cray, managing clusters, Slurm, Linux, CUDA, high-speed networks as well as an understanding of the customer's A&A process. Qualifications: * Active Top Secret/Sensitive ...

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Senior Devops Engineer

Washington, DC · On-site

$147K - $189K/yr

Support scientific computing workloads on HPC clusters (SLURM) alongside our cloud-native Kubernetes platforms * Introduce and integrate MLOps practices for GPU-based model deployment on Kubernetes

Senior Devops Engineer

Washington, DC · On-site

$147K - $189K/yr

Support scientific computing workloads on HPC clusters (SLURM) alongside our cloud-native Kubernetes platforms * Introduce and integrate MLOps practices for GPU-based model deployment on Kubernetes

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Slurm information

See Reston, VA salary details

$11.4K

$110.7K

$221.1K

How much do slurm jobs pay per year?

As of Sep 4, 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.

What are popular job titles related to Slurm jobs in Reston, VA?

For Slurm jobs in Reston, VA, the most frequently searched job titles are:

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.

High-Performance Computing Engineer

VTG

Mclean, VA • On-site

Full-time

Re-posted 7 days ago


Job description

Overview

iota IT, a subsidiary of VTG, is seeking a High-Performance Computing Engineer in McLean, VA.


What will you do?
  • The highly skilled High Performance Computing Engineer to design, implement, and maintain advanced computing solutions in support of mission-critical operations.

  • The ideal candidate will bring deep technical expertise in large-scale HPC environments, cluster management, GPU computing, and high-speed networking.


Do you have what it takes?
  • Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance, with polygraph.
  • Bachelor's Degree in Computer Science, Engineering or related field.
  • Experience with NVidia, Cray, managing clusters, Slurm, Linux, CUDA, high-speed networks as well as an understanding of the customer's A&A process. 
Qualifications:
  • Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance, with polygraph.
  • Bachelor's Degree in Computer Science, Engineering or related field.
  • Experience with NVidia, Cray, managing clusters, Slurm, Linux, CUDA, high-speed networks as well as an understanding of the customer's A&A process. 
Education:UNAVAILABLEEmployment Type: FULL_TIME