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Freelance High Performance Computing Jobs in Virginia

Data Center Technician

Richmond, VA · On-site

$30 - $36/hr

We set the benchmark for excellence with our top-tier solutions in high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our ...

This position offers the opportunity to deepen your expertise in parallel processing and high-performance computing, with exposure to CUDA programming, positioning you at the forefront of ...

Data Center Technician

Dulles, VA · On-site

$30 - $36/hr

We set the benchmark for excellence with our top-tier solutions in high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our ...

... High-Performance Computing, Numerical Analysis, Scientific Computing, Statistics, Cyber-Physical Systems, or related field • TS/SCI Full Poly clearance Preferred : • Familiarity with cloud-based ...

DevOps Engineer

Herndon, VA · On-site

$54.25 - $74.25/hr

This team is responsible for supporting the deployment and initial site integration of DC-MLS ® solutions across multiple programs, including High Performance Computing (HPC) environments and other ...

DevOps Engineer

Herndon, VA · On-site

$54.25 - $74.25/hr

This team is responsible for supporting the deployment and initial site integration of DC-MLS ® solutions across multiple programs, including High Performance Computing (HPC) environments and other ...

DevOps Engineer

Herndon, VA · On-site

$54.25 - $74.25/hr

This team is responsible for supporting the deployment and initial site integration of DC-MLS ® solutions across multiple programs, including High Performance Computing (HPC) environments and other ...

Systems Integrator (Senior) 112-096

Springfield, VA · On-site

$109K - $149K/yr

Provide input to implementation options for high performance computing of both computer vision and analytics. * Support the architect (Position 4) and ATT leadership in the development and updates ...

The ideal Microelectronics SME candidate will possess extensive knowledge and expertise in Microelectronics, Electronic devices, Semiconductor fabrication, high performance computing to include non ...

The ideal Microelectronics SME candidate will possess extensive knowledge and expertise in Microelectronics, Electronic devices, Semiconductor fabrication, high performance computing to include non ...

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Showing results 1-20

Freelance High Performance Computing information

What is the difference between Freelance High Performance Computing vs Freelance Data Scientist?

AspectFreelance High Performance ComputingFreelance Data Scientist
Required CredentialsAdvanced degrees in computer science, engineering, or related fields; knowledge of parallel computing and HPC toolsDegree in data science, statistics, or related fields; proficiency in programming, statistics, and machine learning
Work EnvironmentTypically involves working with supercomputers, clusters, and specialized hardwarePrimarily works with data analysis platforms, cloud services, and programming languages like Python or R
Employer & Industry UsageUsed by research institutions, government labs, and tech companies for scientific simulations and large-scale computationsEmployed across industries for data analysis, predictive modeling, and business intelligence projects

While both roles require strong technical skills and programming knowledge, Freelance High Performance Computing focuses on optimizing and managing large-scale computational resources, whereas Freelance Data Scientist centers on analyzing data to extract insights. The choice depends on your expertise in hardware and parallel processing versus data analysis and modeling.

What are the most commonly searched types of High Performance Computing jobs in Virginia? The most popular types of High Performance Computing jobs in Virginia are:
What are popular job titles related to Freelance High Performance Computing jobs in Virginia? For Freelance High Performance Computing jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Freelance High Performance Computing jobs in Virginia look for? The top searched job categories for Freelance High Performance Computing jobs in Virginia are:
What cities in Virginia are hiring for Freelance High Performance Computing jobs? Cities in Virginia with the most Freelance High Performance Computing job openings:

Data Center Technician

Introl

Richmond, VA • On-site

$30 - $36/hr

Temporary

Medical, Dental, Vision, Retirement

Posted 5 days ago


Job description

About Richmond

Richmond extends Virginia's data center corridor with competitive costs compared to Northern Virginia. The region supports growing demand for GPU infrastructure and enterprise computing.

About Introl

Introl stands apart as a leader in GPU infrastructure deployments, specializing in large-scale GPU cluster deployments having deployed 100,000+ of the most advanced GPUs available. When failure is not an option, Introl delivers.

We set the benchmark for excellence with our top-tier solutions in high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime.

Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in hyperscale data centers and advanced AI research facilities. We’re looking for exceptional talent who thrive in high-pressure, high-reward environments.

Position Overview

Introl is seeking experienced Data Center Technicians to join our team as hourly, project-based W-2 employees supporting GPU infrastructure deployment projects across the U.S. This role is ideal for individuals who enjoy hands-on technical work in fast-paced environments and are looking to contribute to high-impact, mission-critical deployments.

As a W-2 hourly employee, you will work under the direction of Introl project leadership and collaborate closely with cross-functional teams to execute data center builds, upgrades, and migrations. Assignments are project-based and may vary in duration, location, and scope depending on business needs.

This is an hourly position with compensation based on experience, project complexity, and location, with opportunities for continued project assignments based on performance and business demand.

Key Responsibilities

GPU Infrastructure & Hardware Management

Deploy, configure, and maintain large-scale GPU clusters and high-performance computing systems

Install, troubleshoot, and repair GPU servers, networking equipment, and associated hardware

Perform hardware diagnostics and coordinate large-scale fiber optic connectivity

Execute precise hardware migrations and rack installations

Data Center Operations

Monitor and maintain data center infrastructure including power, cooling, and environmental systems

Perform routine maintenance on servers, storage systems, and networking equipment

Execute data center migrations ranging from single racks to full facility relocations

Support optimal performance and availability of deployed systems

Technical Support & Troubleshooting

Diagnose and resolve complex hardware and network connectivity issues

Perform system upgrades, patches, and configuration changes

Document all work performed in accordance with company and industry standards

Quality Assurance & Safety

Adhere to applicable laws, rules, and regulations (e.g., OSHA, NEC)

Conduct quality control checks on all installations and deployments

Maintain clean room standards and proper electrostatic discharge procedures

Required Qualifications

Technical Skills

2+ years of experience in data center operations or hardware deployment

Strong knowledge of server hardware, networking equipment, and data center infrastructure

Experience with GPU systems, high-performance computing, or AI infrastructure preferred

Proficiency with fiber optic installations and network cabling

Understanding of power distribution, cooling systems, and environmental monitoring

Core Competencies

Ability to work in fast-paced, high-pressure environments

Strong problem-solving skills and attention to detail

Excellent communication and documentation abilities

Physical ability to lift up to 50 lbs. and work in confined spaces

Availability during nights, weekends, or non-standard hours as needed

Legal authorization to work in the U.S. without sponsorship

Certifications (Preferred)

CompTIA Server+ or equivalent hardware certification

Data center or network infrastructure certifications

Fiber optic installation certification

Vendor-specific certifications (NVIDIA, AMD, Intel)

Employment Structure & Expectations

This is a W-2 hourly, project-based position

Employees are scheduled and assigned to specific projects based on business needs

Work hours may vary depending on project timelines and operational requirements

Overtime may be required and will be compensated in accordance with applicable laws

Employees are expected to follow all company policies, safety standards, and reporting structures

Tools, equipment, and materials will be provided as required for project execution

Compensation & Benefits

Hourly rate commensurate with experience and project scope

Overtime eligibility in accordance with federal and state law

Access to Introl employee benefits (where applicable based on eligibility), which may include:

Medical, dental, and vision coverage

401(k) plan

Paid sick time in accordance with state/local requirements

Opportunities for continued project assignments and career growth within Introl