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Remote Engineering Student Jobs in Washington (NOW HIRING)

Internship Program US (Remote)

Bethesda, MD · On-site +1

$18 - $23.25/hr

Given the COVID-19 pandemic, GreenGen has restructured its Internship Program to be either remote ... and undergraduate students with a passion for real estate, engineering, building operations ...

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Remote Engineering Student information

What are the key skills and qualifications needed to thrive as a Remote Engineering Student, and why are they important?

To thrive as a Remote Engineering Student, you need a solid background in math and science, strong analytical skills, and enrollment in an accredited engineering program. Familiarity with online learning platforms, engineering software (such as MATLAB or AutoCAD), and collaboration tools like Zoom or Slack is typically required. Excellent time management, self-motivation, and proactive communication skills help students excel in a remote learning environment. These abilities are crucial for mastering complex concepts, staying engaged, and collaborating effectively despite the challenges of distance learning.

What are some common challenges faced by remote engineering students during internships or co-op roles, and how can they be addressed?

Remote engineering students often face challenges such as limited hands-on experience, difficulty in building relationships with mentors, and managing time effectively without direct supervision. To overcome these, it's important to proactively seek opportunities for virtual collaboration, schedule regular check-ins with supervisors, and make use of simulation software or remote labs when possible. Engaging in online forums and team meetings can also help build connections and gain practical insights, ensuring a well-rounded learning experience.

What is a remote engineering student?

A remote engineering student is someone who studies engineering through online or distance learning programs, rather than attending classes in person on a traditional campus. These students access lectures, coursework, and assignments via the internet, often using learning management systems and virtual labs. Remote engineering students may interact with professors and classmates through video calls, forums, and collaborative online tools. This flexible learning format allows individuals to balance their education with work or other commitments, and can be especially beneficial for those who cannot relocate or commute to a university.

What is the difference between Remote Engineering Student vs Remote Intern?

AspectRemote Engineering StudentRemote Intern
CredentialsEnrolled in engineering program, some technical courseworkEnrolled in relevant field, may have completed coursework
Work EnvironmentPart-time, flexible, often educational focusPart-time or full-time, project-based, learning-oriented
Employer & Industry UsageEducational institutions, startups, tech companiesTech companies, engineering firms, startups
Search & Comparison IntentLearning opportunities, entry-level experiencePractical experience, skill development

Remote Engineering Students are typically enrolled in engineering programs and seek educational or entry-level experience, often part-time. Remote Interns are usually gaining practical work experience in engineering roles, often through internships. Both roles are used by tech companies and startups to nurture future talent, but they differ mainly in their focus on education versus hands-on work experience.

What are the most commonly searched types of Engineering Student jobs in Washington? The most popular types of Engineering Student jobs in Washington are:
What cities in Washington are hiring for Remote Engineering Student jobs? Cities in Washington with the most Remote Engineering Student job openings:

Power Systems Software Engineer Student Employee

Electric Power Research Institute, Inc.

Washington, DC • On-site, Remote

$31 - $36/hr

Full-time

Medical, Retirement, PTO

Posted 8 days ago


Job description

Job Title:
Power Systems Software Engineer Student Employee
Location:
Remote/Home Based
Job Summary and Description:
This is an exciting internship opportunity for a motivated student to play a meaningful role in modernizing critical power systems R&D software. You will contribute to the transition of our existing monolithic applications - centered around the Grid Analysis Toolkit (GAT) and Automation of Outage Coordination (AOC) - into a modern microservices architecture combined with a multi-agent AI platform.
You will help design, develop, and test new services and intelligent agents that will make power system analysis faster, more reproducible, scalable, and intelligent. This is a hands-on role where you will work directly with experienced power systems engineers on real research software that supports grid modernization.
Duties & Responsibilities
  • Design and develop microservices (primarily in Python/FastAPI) for key capabilities such as data ingestion, topology processing, power flow, contingency analysis, and outage coordination.
  • Implement and integrate AI agent workflows (using frameworks like LangGraph) that orchestrate complex research tasks and interact with the new microservices.
  • Wrap and modernize existing GAT library functions (topology processing, power flow, contingency analysis, model processing, time-series ingestion) into scalable services.
  • Build supporting infrastructure components (Docker containers, CI/CD pipelines, observability) on Microsoft Azure.
  • Ensure high reproducibility of results using tools such as MLflow and containerization.
  • Document technical designs, methodologies, and results; contribute to internal reports and presentations.
  • Participate in code reviews, architecture discussions, and agile-style team collaboration.
  • Support the gradual migration from the current monolith to the new architecture using incremental approaches.

Qualifications
Required:
  • Currently completed a Master's degree or pursuing PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Strong proficiency in Python.
  • Solid understanding of power system fundamentals (power flow, contingency analysis, grid modeling, etc.).
  • Experience (academic or personal projects) developing software applications.
  • Interest in modern software architecture, cloud computing, and AI.

Preferred / Strong Plus:
  • Experience with power systems analysis tools or libraries (GAT, PyPSA, MATPOWER, or similar).
  • Familiarity with any of the following: FastAPI, Docker, Kubernetes (AKS), Azure cloud services, PostgreSQL, GitHub Actions, or MLflow.
  • Exposure to microservices architecture, REST APIs, or event-driven systems.
  • Experience or strong interest in building AI agents / LLM-based workflows.
  • Knowledge of HTML5 / basic front-end development (a plus for building simple interfaces).

Ideal Candidate:
  • Master's student in Electrical/Computer Engineering with a focus on power systems software or software engineering for energy systems.
  • Passionate about both power systems engineering and modern software practices.
  • Strong analytical, problem-solving, technical writing, and presentation skills.
  • Self-motivated, able to work independently in a remote setting while collaborating effectively.

What You Will Gain:
  • Hands-on experience with cutting-edge software architecture (microservices + multi-agent systems) in a real power systems R&D environment.
  • Deep exposure to Azure cloud technologies and DevOps practices.
  • Opportunity to work with production-grade GAT and AOC tools that support grid reliability research.
  • Mentorship from experienced power systems and software engineers.
  • Valuable portfolio pieces (code, documentation, presentations) for your future career in energy tech or software engineering.
  • Potential for continued part-time or full-time collaboration after the internship.

Application Instructions
Please submit your resume, a brief cover letter (or statement of interest), and any relevant projects or GitHub repositories. In your application, please highlight any experience with Python, power system modeling, or modern software development.
The hourly rate range for Student positions are:
  • Undergraduate: $16-29 per hour
  • Masters: $27-33 per hour
  • Ph.D: $31-36 per hour

These ranges are an estimate, and the actual hourly rate may vary based on various factors, including without limitation applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The hourly rate may also be adjusted based on applicant's geographic location.
As an EPRI Student, you will not participate in EPRI's Benefit Programs which includes health insurance, retirement benefits, vacation, sick leave (except as set required by law) and holiday pay. However, as a Student employee you are eligible for the benefits of Social Security, State Disability Insurance, and Workers' Compensation Insurance.
For Student positions which require one to relocate to an EPRI office. Relocation assistance is not provided and the student will be responsible for covering all relocation costs/expenses.
EPRI participates in E-Verify, an online system operated jointly by the Department of Homeland Security and the Social Security Administration (SSA). EPRI uses the system to check the work status of new hires by comparing information from the employee's I-9 form against SSA and Department of Homeland Security databases.
EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/Disabled
Together . . . Shaping the Future of Energy.
www.epri.com