1

Research Computing Jobs in Virginia (NOW HIRING)

Cloud/Computing Engineer

Herndon, VA · On-site

$57.25 - $76.50/hr

Research, evaluate, and deploy advanced cloud computing systems and large data analytics for clients in research and production areas. • Work with massive data sets, complex algorithms, and team ...

Cloud/Computing Engineer

Herndon, VA · On-site

$135K - $216K/yr

Research, evaluate, and deploy advanced cloud computing systems and large data analytics for clients in research and production areas. * Work with massive data sets, complex algorithms, and team ...

Cloud/Computing Engineer

Herndon, VA · On-site

$135K - $216K/yr

Research, evaluate, and deploy advanced cloud computing systems and large data analytics for clients in research and production areas. * Work with massive data sets, complex algorithms, and team ...

HPC Systems Engineer

Charlottesville, VA · On-site

$150K - $200K/yr

... research computing, or distributed compute environments, including configuration and troubleshooting of multi-node systems. Required Skills: * Experience supporting distributed compute environments ...

HPC Systems Engineer

Charlottesville, VA · On-site

$150K - $200K/yr

... research computing, or distributed compute environments, including configuration and troubleshooting of multi-node systems. Required Skills: * Experience supporting distributed compute environments ...

HPC Systems Engineer

Charlottesville, VA · On-site

$150K - $200K/yr

... research computing, or distributed compute environments, including configuration and troubleshooting of multi-node systems. Required Skills: * Experience supporting distributed compute environments ...

Research, evaluate, and deploy advanced cloud computing systems and large data analytics for clients in research and production areas. * Work with massive data sets, complex algorithms, and team ...

Applied Research Associates, Inc. (ARA) is seeking an accomplished Senior Research Seismologist to ... Experience working with Linux-based high-performance computing systems. * Highly self-motivated ...

New

Showing results 41-60

Research Computing information

What is research computing?

A Research Computing job involves supporting computational and data-intensive research by providing expertise in high-performance computing (HPC), data management, software development, and cloud technologies. Professionals in this field work closely with researchers to optimize code, manage large datasets, and ensure efficient use of computing resources. They may also develop and maintain computing infrastructure, troubleshoot technical issues, and assist with grant proposals requiring specialized computing capabilities.

What does someone working in research computing do?

In a Research Computing role, you will often support researchers by managing and optimizing access to high-performance computing resources, troubleshooting technical issues, and assisting with the setup of specialized software or tools. You may also help develop computational workflows, maintain data storage systems, and guide users on best practices for maximizing resource efficiency. Collaboration with scientists, faculty, and IT staff is common, as you play a key role in enabling advanced research projects. This hands-on, problem-solving environment provides opportunities to learn new technologies and contribute directly to impactful scientific work.

What are the key skills and qualifications needed to thrive in research computing?

To excel in Research Computing, a strong background in computer science, data analysis, and scientific research methodologies is essential, often supported by an advanced degree in a STEM field. Familiarity with high-performance computing (HPC) systems, cluster management tools, programming languages (such as Python, R, or C++), and certifications in cloud platforms or data science are commonly required. Effective problem-solving, collaboration, and communication skills help professionals work closely with researchers and interdisciplinary teams. These skills and qualities are crucial for supporting complex computational research, ensuring efficient system use, and driving innovation in scientific discovery.

What are the most commonly searched types of Research Computing jobs in Virginia?

The most popular types of Research Computing jobs in Virginia are:

What are popular job titles related to Research Computing jobs in Virginia?

For Research Computing jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Research Computing jobs?

Cities in Virginia with the most Research Computing job openings:

Infographic showing various Research Computing job openings in Virginia as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution.

Cloud/Computing Engineer

Peraton

Herndon, VA • On-site

$57.25 - $76.50/hr

Full-time

Re-posted 15 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

52nd of 225 rated it services


Job description

Job Summary:
Peraton is a next-generation national security company that drives missions of consequence spanning the globe. They are seeking an experienced Cloud/Computing Engineer to manage cloud-based systems and processes, create cloud applications, and implement cloud infrastructure solutions for their national intelligence program.
Responsibilities:
• Design, build and manage cloud infrastructure environments.
• Offer guidance in infrastructure movement techniques including bulk application transfers into the cloud.
• Identify top architecture solutions to successfully meet and maintain the clients' strategic needs.
• Install, troubleshoot, patch and configure cloud servers for optimal performance.
• Provide technical leadership, expertise, and design of cloud cluster computing techniques and technologies and expert advice to the program, and to optimize and implement cloud-based architectures and a roadmap to migrate from on premises solutions.
• Optimize memory management identifying the best ways to develop distributed cluster-enabled and graph processing algorithms.
• Lead data integration and migration efforts, including mapping schemas, performing Resource Framework Definition (RDF) translations, and defining domain specific functionality, where applicable
• Develop large data technologies, algorithms, and applications for clients. Research, evaluate, and deploy advanced cloud computing systems and large data analytics for clients in research and production areas.
• Work with massive data sets, complex algorithms, and team members from a variety of specialties to resolve clients' hardest problems.
• Support a range of clients from front line analysts to researchers and senior leadership. Work as a key contributor on a collaborative, fast-growing, and highly skilled software development team.
• Experience with information extraction and analysis techniques, practices, and algorithms.
• Knowledge of a variety of advanced computer science and mathematical concepts, practices, and procedures associated with the analysis of large datasets, from indexing schemes to statistical tests
• Knowledge of Cloud computing, Hadoop or MapReduce, Netezza, Vertica, BigTable, Pig, Terradata, or Amazon Web Services-Ability to obtain a security clearance.
• Apply expert knowledge in computer science, particularly in the Semantic Web and cloud computing environments.
• Develop, implement and maintain processes, procedures, test cases, test results, issue resolutions, and performance analysis, and user guidelines/ instructions documentation.
• Travel: Travel may be required within the National Capital Region (NCR) on an as needed basis for customer or corporate requirements.
Qualifications:
Required:
• Active Top Secret/ Sensitive Compartmented Information (TS/SCI) clearance with ability to pass a Poly clearances.
• Minimum of 8 years relevant experience with a Bachelor's degree (Master's degree and 6 years of relevant experience or PhD with 3 years relevant experience).
• Proven work experience as a Data Center Cloud Engineer or similar role utilizing cloud technologies.
• AWS Certified Cloud Architect.
• Excellent problem-solving skills with attention to detail.
• Strong communication and collaboration abilities.
Preferred:
• Active TS/SCI with Poly clearances.
• Degree(s) in Computer Science, Engineering, or related field.
• Knowledge of web services API, REST and RPC.
• Containerization experience using Docker and Kubernetes.
• Experience with Python, Java, and Ruby programming languages.
Company:
Peraton Fearlessly solving the toughest national security challenges. Founded in 1992, the company is headquartered in Woodbridge, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Peraton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Peraton logo

About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017