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Torque Jobs in Virginia (NOW HIRING)

Torque * Grid Engine Candidates should understand job submission workflows and resource allocation concepts such as CPU, memory, and GPU scheduling. Candidates should be comfortable reading and ...

Torque * Grid Engine Candidates should understand job submission workflows and resource allocation concepts such as CPU, memory, and GPU scheduling. Candidates should be comfortable reading and ...

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Torque information

What are the key skills and qualifications needed to thrive in the Torque position, and why are they important?

To thrive as a Torque Technician, you need a solid understanding of mechanical systems, torque specifications, and the proper use of hand and power tools, often supported by a technical diploma or relevant certifications. Familiarity with torque measurement devices, calibration equipment, and industry safety standards is typically required. Attention to detail, problem-solving abilities, and clear communication are valuable soft skills in this position. These competencies are crucial for ensuring accurate assembly, equipment reliability, and workplace safety.

What can I expect from a typical workday as a Torque Technician?

As a Torque Technician, your typical day involves performing precision tightening of fasteners on mechanical assemblies, using torque wrenches and calibrated tools to meet exact specifications. You may also conduct inspections, document results, and collaborate with engineers or quality control teams to address issues or verify standards. Challenges can include working in confined spaces, keeping up with multiple projects, and ensuring all work meets safety and regulatory requirements. Most technicians work as part of a team in manufacturing, automotive, or industrial environments, with opportunities for skill development and advancement into supervisory or quality assurance roles.

How can I make 2000 a week working from home?

To earn $2000 a week working from home, individuals often pursue high-paying remote roles such as freelance consulting, digital marketing, software development, or sales. Building relevant skills, gaining certifications, and establishing a strong client base or network are essential for reaching this income level.

What is a Torque job?

A Torque job is a task or set of tasks managed by the Torque resource manager, commonly used in high-performance computing (HPC) environments. It allows users to submit, schedule, and monitor jobs on a cluster of computing nodes. Torque ensures efficient allocation of resources, including CPU and memory, to optimize performance. Users typically interact with Torque through job scripts and command-line tools.

What are popular job titles related to Torque jobs in Virginia? For Torque jobs in Virginia, the most frequently searched job titles are:
Infographic showing various Torque job openings in Virginia as of June 2026, with employment types broken down into 89% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution.
HPC Support Engineer

Full-time

Posted 16 days ago


SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

71st of 204 rated it services


Job description

Job Description
SAIC is looking for a highly qualified HPC Support Engineer to support the Army's Golden Dome initiative. The engineer will support users executing workloads within Linux-based High Performance Computing (HPC) cluster environments used for distributed compute workloads, simulation environments, and GPU-enabled processing.
The environment will include:
  • multi-node Linux compute clusters
  • workload scheduling platforms such as Slurm or PBS
  • distributed parallel compute workloads utilizing MPI or OpenMP
  • GPU-enabled compute resources supporting CUDA-based processing
  • high-performance networking technologies including RDMA / InfiniBand

The system will be used to support scientific computing, simulation workloads, and other distributed compute operations within a secure research environment.
Candidates should be comfortable working within cluster-scale computing environments where performance, scheduler configuration, and distributed workload execution are critical operational factors.
The HPC Support Engineer will assist users executing computational workloads within HPC cluster environments.
The role focuses on:
  • supporting distributed compute workloads
  • troubleshooting job execution issues
  • assisting users with scheduler job submission scripts
  • identifying workload performance bottlenecks
  • supporting GPU-enabled workloads
  • promoting efficient cluster utilization and HPC best practices

Candidates should have experience working with distributed compute workloads and Linux-based HPC environments.
Core Technical Capabilities
Candidates should demonstrate capability in most of the following areas.
HPC Workload Execution
Experience supporting execution of distributed workloads on HPC cluster platforms.
Candidates should understand how compute workloads interact with cluster schedulers, compute nodes, and distributed resources.
Workload Scheduling Platforms
Experience executing and troubleshooting workloads using schedulers such as:
  • Slurm
  • PBS / PBS Pro
  • Torque
  • Grid Engine

Candidates should understand job submission workflows and resource allocation concepts such as CPU, memory, and GPU scheduling.
Candidates should be comfortable reading and troubleshooting scheduler job submission scripts used to execute distributed workloads.
Linux Systems Usage
Strong Linux experience including:
  • command-line system usage
  • execution of compute workloads within Linux environments
  • troubleshooting application execution issues

Experience with RHEL-based environments is preferred.
Distributed Compute Workloads
Experience supporting distributed workloads utilizing parallel computing frameworks such as:
  • MPI
  • OpenMP

Experience supporting the compilation and execution of scientific or engineering applications within Linux HPC environments.
Familiarity with common HPC programming languages and compiler toolchains including:
  • C/C++
  • Fortran

Candidates should understand how compiled applications interact with scheduler configuration, compute resources, cluster networking, and distributed runtime environments.
Experience troubleshooting application build or runtime issues related to compiler configuration, library dependencies, or MPI environments is desirable.
Familiarity with common HPC compiler toolchains such as GCC, Intel, or LLVM-based compilers is desirable.
GPU Compute Workloads
Experience executing or supporting workloads utilizing GPU-enabled compute environments and CUDA frameworks is desirable.
Performance Troubleshooting
Ability to identify issues affecting workload execution including:
  • inefficient resource allocation
  • scheduler configuration issues
  • application execution failures
  • distributed compute performance bottlenecks

Automation and Operational Tooling
Experience writing scripts or tooling using languages such as:
  • Bash
  • Python

Automation experience supporting workload execution or operational tasks is beneficial.
Qualifications
Candidates must meet the following requirements:
  • Bachelor degree in science/technology; 4 additional YoE can be substituted for degree
  • 8+ years of experience is required
  • Minimum 5 years of experience working in Linux environments supporting distributed compute workloads or HPC cluster platforms
  • An Active Top Secret clearance is required; an active TS/SCI clearance must be obtained prior to beginning work.
  • 100% onsite support in Charlottesville, VA
  • Experience executing or troubleshooting workloads using HPC workload schedulers such as Slurm, PBS, Torque, or similar systems
  • Experience using command-line Linux environments
  • Experience with scripting or automation tools (Bash, Python, or similar)
  • Ability to obtain required DoD 8140 (8570) IAT Level II certification
  • Candidates must have direct experience working with HPC or distributed compute workloads.

Candidates with the following experience are strongly preferred:
  • Experience supporting HPC cluster environments used for distributed compute workloads
  • Experience executing or troubleshooting MPI or OpenMP workloads
  • Experience supporting GPU-enabled workloads and CUDA frameworks
  • Experience supporting scientific or engineering compute applications
  • Experience supporting research, laboratory, or mission computing environments
  • Experience supporting systems within DoD/DoW or IC environments

About Us
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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