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Software Engineering Student Jobs in Washington (NOW HIRING)

Appian

Software Engineering Intern

Mclean, VA · On-site

$8.6K/mo

Applicants considered for Summer 2027 - Students Only What You'll Do * Develop Clean Software: Apply your knowledge of data structures, algorithms, and object-oriented programming to contribute to ...

Appian

Software Engineering Intern

Mclean, VA

$8.6K/mo

Applicants considered for Summer 2027 - Students Only What You'll Do * Develop Clean Software: Apply your knowledge of data structures, algorithms, and object-oriented programming to contribute to ...

Danaher

Software Engineer Internships

Annapolis, MD

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

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Software Engineering Student information

See Washington salary details

$22

$56

$81

How much do software engineering student jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for software engineering student in Washington is $56.15, according to ZipRecruiter salary data. Most workers in this role earn between $44.66 and $69.13 per hour, depending on experience, location, and employer.

What does a software engineering student do?

A Software Engineering Student learns the fundamentals of designing, developing, and maintaining software applications. Their studies typically include programming languages, algorithms, data structures, and software development methodologies. They often participate in hands-on projects, internships, or group assignments to apply their knowledge in real-world scenarios. The goal is to prepare for a career in software engineering by building both technical and problem-solving skills.

What are some common challenges software engineering students face during internships or cooperative education programs?

Software Engineering Students often encounter challenges such as adapting to real-world codebases, balancing academic responsibilities with work commitments, and learning to collaborate effectively within diverse development teams. Navigating unfamiliar tools, frameworks, and agile workflows can be overwhelming at first, but support from mentors and peers helps ease the transition. Embracing continuous learning and open communication is key to overcoming these hurdles and making the most of hands-on industry experience.

What are the key skills and qualifications needed to thrive as a software engineering student, and why are they important?

To thrive as a Software Engineering Student, you need a solid understanding of programming fundamentals, algorithms, and data structures, often supported by coursework in computer science or related fields. Familiarity with languages such as Python, Java, or C++, as well as version control systems like Git, is typically expected and beneficial. Strong problem-solving ability, effective communication, and a willingness to learn make students stand out in both collaborative projects and independent assignments. These skills and qualities are essential for mastering complex concepts, excelling in team-based environments, and preparing for real-world software development roles.

What is the difference between Software Engineering Student vs Software Developer?

AspectSoftware Engineering StudentSoftware Developer
CredentialsTypically enrolled in a computer science or software engineering programUsually holds a degree in computer science or related field, with some experience
Work EnvironmentInternships, part-time roles, or academic projectsFull-time employment in tech companies or startups
Industry UsageCommonly used during education or early career stagesActive professional role in software development teams
Search & Comparison IntentUnderstanding entry-level roles or internshipsLooking for full-time job opportunities or career growth

In summary, a Software Engineering Student is typically a learner engaged in education or internships, while a Software Developer is a professional actively working in the industry. The student role focuses on gaining skills, whereas the developer role involves applying those skills in real-world projects.

Software Engineering Student jobs near you
Infographic showing various Software Engineering Student job openings in Washington as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $116,800 per year, or $56.2 per hour.

NIST PREP Software Engineering Student

Gaithersburg, MD • On-site

Southeastern Universities Research Association
11 - 50 employees
Learn more about Southeastern Universities Research Associationexternal

$15/hr

Part-time

Re-posted 6 days ago

Job description

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title: [Computer Scientist ZP-I/Software Engineer (Guardians of Forensic Evidence Project)]
The work will entail: [We are seeking a senior undergraduate or graduate student with strong software engineering skills to support the Guardians of Forensic Evidence Initiative-an effort to strengthen the scientific reliability of AI-based deepfake detection systems used in forensic and judicial contexts.
This role emphasizes AI related software development, evaluation pipeline implementation, AI system benchmarking infrastructure, and web platform development. The selected candidate will contribute directly to the development of the Deepfake Challenge Kit, including dataset management systems, scoring packages, and a secure evaluation website with user authentication and leaderboard functionality.]
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
  • Deepfake and Synthetic Data Generation and Automated Benchmarking Dataset Pipeline Development, including but not limited to: developing automated or semi-automated state-of-the-art deepfake image/audio generation pipelines; implementing metadata handling and dataset validation tools; building infrastructure for deepfake media benchmarking; etc.
  • Deepfake Analytic AI System Implementation: Implement baseline deepfake detection algorithms; design modular, well-documented, and maintainable codebases; deploy deepfake detection tools on Linux servers and GPU clusters; ensure reproducibility and performance optimization; maintain cross-platform compatibility (Linux, macOS, Windows); implement containerized solutions (Docker-based workflows) as needed.
  • Scoring Package & Evaluation Infrastructure: Implement evaluation metrics (ROC curves, AUC, confusion matrices, robustness analysis); develop reproducible evaluation pipelines; conduct quantitative performance analysis across different data subsets.
  • Web Platform Development: Design, implement, and maintain a secure, scalable evaluation web platform that includes a user authentication system (login, registration, role-based access control), a dataset release portal with controlled access, and an admin dashboard for dataset and user management. The technology stack may include (but is not limited to) Python, React or modern JavaScript frameworks, PostgreSQL, Docker, and Linux-based deployment environments.

Qualifications
This individual must have the following minimum knowledge, skills, and abilities:
  • Senior undergraduate or graduate student in Computer Science, Software Engineering, or a related field
  • Strong proficiency in Python to support timely project delivery
  • Experience working in a Linux environment and with shell scripting (Bash) is required
  • Background in media (audio, image, or video) processing and analysis
  • Ability to work independently as well as in collaborative research environments

Furthermore, the following knowledge skills, and abilities are preferred:
  • GPU programming or AI model development experience
  • Experience with web development (HTML, CSS, JavaScript)
  • Experience developing backend services (Flask, Django, FastAPI, Node.js, etc.)
  • Previous experience with generative AI tools, including deepfake technologies and large language models
  • Experience in cross-platform software development (Linux, macOS, Windows)
  • Experience or interest in machine learning and AI system testing and evaluation
  • Experience with database management (e.g., PostgreSQL)
  • Experience with Jupyter Notebooks, R, Shiny, and interactive data visualization

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0004317

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