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Internship Research Software Engineer Jobs in Virginia

Research Engineer

Reston, VA · Hybrid

$108K - $147K/yr

The Engineer III - Research Software Engineer plays a role in identifying and developing novel and operationally relevant research concepts related to Internet infrastructure applications and ...

DevSecOps Research Computing Software Engineer

Reston, VA · On-site

$213K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

POSITION SPECIFICS We are searching for a Research Computing Software Engineer to join our Reston, VA location of the Digital Engineering Department at the Applied Research Laboratory (ARL) at Penn ...

Software Engineering, Devops Engineering, CNO Software Development, Vulnerability Research ... At the end of your internship, present to your team and other stakeholders in the company, a ...

Software Engineering, Devops Engineering, CNO Software Development, Vulnerability Research ... At the end of your internship, present to your team and other stakeholders in the company, a ...

Research Engineer

Reston, VA · On-site

$108K - $147K/yr

The Engineer III - Research Software Engineer plays a role in identifying and developing novel and operationally relevant research concepts related to Internet infrastructure applications and ...

Research Engineer

Reston, VA · On-site

$108K - $147K/yr

The Engineer III - Research Software Engineer plays a role in identifying and developing novel and operationally relevant research concepts related to Internet infrastructure applications and ...

Software Engineer

Chantilly, VA · On-site

$85K - $152K/yr

  • Medical

  • Dental

  • Life

  • Retirement

Rincon Research Corporation seeks a Software Engineer to create cutting edge software and cloud computing solutions to challenging national security and defense signal processing, geolocation, and ...

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Internship Research Software Engineer information

What is the difference between Internship Research Software Engineer vs Research Software Engineer?

AspectInternship Research Software EngineerResearch Software Engineer
CredentialsTypically pursuing or recent graduate with relevant courseworkBachelor's or master's degree in computer science or related field
Work EnvironmentInternship programs, temporary positions, mentorship-focusedFull-time, permanent or long-term research roles
Employer & IndustryUniversities, research labs, tech companies during internshipResearch institutions, academia, industry R&D teams

Internship Research Software Engineers are usually students or recent graduates gaining practical experience, while Research Software Engineers are experienced professionals working on long-term research projects. The roles differ mainly in experience level and employment status, but both focus on developing software for research purposes.

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

The most popular types of Research Software Engineer jobs in Virginia are:

Research Software Engineer, AI/ML - Virginia Tech

V T CORPORATE RESOURCE CTR

Blacksburg, VA • On-site

$110 - $130/hr

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Posted yesterday

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Job description

Research Software Engineer, AI/ML – Virginia Tech

Advanced Research Computing (ARC) provides Virginia Tech researchers with access to high-performance computing systems, data storage, visualization facilities, and expert support. We help faculty and students across all disciplines get the most out of advanced computing tools.

The Research Software Engineer, AI/ML builds and maintains our AI and machine learning infrastructure. You’ll deploy and optimize LLMs, set up ML platforms, and help researchers integrate AI into their workflows. This is a hands‑on role where you’ll tackle varied challenges across AI services and grow your skills alongside the team. You will work directly with faculty, Computational Scientists, and the rest of the ARC team to make AI tools accessible and useful for research. The role also involves leading workshops and training to help more people use AI effectively.

Please note: Sponsorship is not available for this position. This is a hybrid position that will require onsite work each week.

Required Qualifications
  • Master’s degree in Computer Science, Computer Engineering, or closely related field required, or bachelor’s degree and extensive, progressive experience.
  • Demonstrated experience deploying and managing Large Language Models in production environments.
  • Demonstrated experience with machine learning frameworks such as PyTorch or Transformers for model development and deployment.
  • Demonstrated experience with GPU computing in high-performance computing environments.
  • Professional experience with Linux system administration.
Preferred Qualifications
  • Experience with containerization technologies for scalable ML workload deployment.
  • Experience designing and developing RESTful APIs or web services for AI/ML tools and platforms.
  • Experience with LLM inference serving frameworks such as vLLM, SGLang, or llama.cpp for high-throughput, low-latency model deployment.
  • Experience with CI/CD pipelines using git or similar version control workflows for automated testing and deployment.
  • Experience with observability and monitoring tools (Grafana, Prometheus) for production systems.
Benefits
  • Salary: $110,000 – $130,000
  • Overtime: Exempt – Not eligible for overtime.
  • Appointment Type: Regular.
  • Additional Information: The successful candidate will be required to have a criminal conviction check.

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.

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