ZipRecruiter

Log In

1

Simulation Engineer Intern Jobs in Ashburn, VA (NOW HIRING)

Nightwing

RF Engineering Intern - 2026

Sterling, VA · On-site

$16.50 - $21.50/hr

Nightwing is looking for an RF Engineering Intern who will work closely with senior engineers on ... Responsibilities * Assist in the design and simulation of RF circuits and systems using industry ...

Nightwing

RF Engineering Intern - 2026

Sterling, VA · On-site

$17 - $22/hr

Nightwing is looking for an RF Engineering Intern who will work closely with senior engineers on ... Responsibilities * Assist in the design and simulation of RF circuits and systems using industry ...

Nwis

RF Engineering Intern - 2026

Sterling, VA · On-site

$16.50 - $21.50/hr

Nightwing is looking for an RF Engineering Intern who will work closely with senior engineers on ... Responsibilities * Assist in the design and simulation of RF circuits and systems using industry ...

BAE Systems

Technical Intern 3

Manassas, VA · On-site

$49K - $68K/yr

Our Manassas, Virginia team has an opening for a microelectronics hardware engineering intern to ... Digital simulation using Modelsim/Questa or similar * Working knowledge of internal logic analyzer ...

next page

Showing results 1-20

All JobsSimulation Engineer Intern JobsSimulation Engineer Intern Jobs in Ashburn, VA

Simulation Engineer Intern information

See Ashburn, VA salary details

$11

$19

$30

How much do simulation engineer intern jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for simulation engineer intern in Ashburn, VA is $19.75, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $21.39 per hour, depending on experience, location, and employer.

What does a simulation engineer intern do?

A Simulation Engineer Intern assists in creating and running computer-based models to predict how systems or products will perform in real-world scenarios. They typically work under the guidance of senior engineers, helping to analyze data, optimize designs, and solve engineering problems through simulations. This role often involves using specialized software such as MATLAB, ANSYS, or Simulink, and requires strong analytical and problem-solving skills. Simulation Engineer Interns gain valuable experience in applying theoretical knowledge to practical engineering challenges.

What types of projects and tasks can a simulation engineer intern expect to work on during their internship?

As a Simulation Engineer Intern, you can expect to work on a variety of projects that involve creating, running, and analyzing simulations to support product development or research. Typical tasks may include building simulation models using specialized software, validating simulation results against real-world data, and preparing reports for engineering teams. Interns often collaborate closely with senior engineers and cross-functional teams, such as design or testing, to ensure simulations align with project goals. This hands-on experience not only sharpens your technical skills but also provides valuable insights into the collaborative nature of engineering projects and the role of simulation in the product lifecycle.

What are the key skills and qualifications needed to thrive as a simulation engineer intern, and why are they important?

To thrive as a Simulation Engineer Intern, you need a solid background in engineering principles, mathematics, and physics, often supported by current enrollment in a relevant degree program. Familiarity with simulation software such as MATLAB, Simulink, or ANSYS, along with basic programming skills in languages like Python or C++, is typically required. Strong problem-solving abilities, attention to detail, and collaboration skills are essential soft skills for success in this role. These competencies are crucial for accurately modeling complex systems, analyzing results, and contributing effectively to engineering teams.

What is the difference between Simulation Engineer Intern vs Simulation Engineer?

AspectSimulation Engineer InternSimulation Engineer
Required CredentialsTypically pursuing a bachelor's or master's in engineering, computer science, or related fieldsBachelor's or higher degree in engineering, computer science, or related disciplines; often with some professional experience
Work EnvironmentInternship setting, often part-time or summer roles within engineering teamsFull-time professional role within engineering or R&D teams
Employer & Industry UsageUsed by companies in automotive, aerospace, electronics, and manufacturing sectors for training and developmentUsed in similar industries for product development, testing, and simulation tasks

The main difference between a Simulation Engineer Intern and a Simulation Engineer is experience level and responsibility. Interns are typically students gaining practical experience, while Simulation Engineers are full-time professionals responsible for designing and analyzing simulations to support product development.

What are the most commonly searched types of Simulation Engineer jobs in Ashburn, VA?

The most popular types of Simulation Engineer jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Simulation Engineer Intern jobs?

Cities near Ashburn, VA with the most Simulation Engineer Intern job openings:

Simulation Engineer Intern jobs near you

Data Scientist & Machine Learning Engineer Intern

DMS International

Silver Spring, MD • On-site, Remote

Part-time, Internship

This job post has expired today. Applications are no longer accepted.

Job description

Data Management Services, Inc. (DMS International) is a professional services firm headquartered in Silver Spring, Maryland, with work locations throughout the continental United States. We prepare managers and executives to lead their workforce through customized learning solutions that drive the standards of an ever-changing world. We build creative, unique, and engaging learning experiences for commercial, civilian and defense organizations. Our high-caliber talent, delivery methodology and innovative solutions contribute to preparing a workforce that is ready for the future. You can join us on this journey to bring efficiency and creativity to our customers.
At DMS, we are the catalyst for effective workforce transformation. To achieve this, we hire professionals who take pride in doing quality work and who are excited about contributing to the professional development of tomorrow's leaders.
DMS seeks candidates that possess and display the attributes that reflect our Core Values of:
  • Quality in delivering solutions
  • Leadership
  • Teamwork
  • Innovation
  • Integrity in conduct
  • Responsiveness to our customer's mission.

DMS International is an Equal Opportunity Employer. We make employment decisions without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, pregnancy, childbirth, lactation and related medical conditions, genetic factors, military/veteran status, or other characteristics protected by law. We encourage individuals from all backgrounds to apply.
Job Description
DMS is seeking a Data Scientist & Machine Learning Engineer Intern to join our technical team. The intern will support the design, development, testing, and implementation of AI-powered products for content creation, learning, training, simulations, and decision support. Working under the supervision of the AI and Simulation Program Manager, the intern will collaborate with developers, instructional designers, simulation specialists, and subject matter experts to transform data and emerging AI technologies into practical applications.
Responsibilities
  • Support the development of Generative AI and Large Language Model (LLM) applications, including prompt engineering and Retrieval-Augmented Generation (RAG)
  • Develop AI capabilities for transforming source documents into courses, learning content, assessments, scenarios, case studies, and other digital content
  • Assist in developing AI-powered simulations and serious games, including dynamic scenarios, intelligent agents, participant analytics, and after-action reports
  • Collect, clean, analyze, and visualize structured and unstructured data
  • Develop natural language processing (NLP) solutions for document summarization, semantic search, classification, information extraction, and question answering
  • Build prototypes and integrate AI/ML models with applications through APIs and cloud services
  • Conduct model testing and evaluation for performance, accuracy, reliability, bias, and hallucinations
  • Support responsible AI practices, model documentation, data governance, and AI risk management
  • Develop, train, test, and evaluate machine learning and predictive models
  • Research emerging technologies such as agentic AI, multimodal AI, synthetic data, digital twins, knowledge graphs, and adaptive learning

Required Skills & Experience
  • Familiarity with machine learning frameworks such as Scikit-learn, PyTorch, and/or TensorFlow
  • Knowledge of Generative AI concepts, LLMs, prompt engineering, embeddings, RAG, and/or Hugging Face
  • Familiarity with REST APIs, Git/GitHub, and basic application development
  • Knowledge of statistical analysis, data visualization, and predictive modeling
  • Strong analytical and problem-solving skills
  • Curiosity about emerging AI technologies and willingness to experiment and learn
  • Ability to work independently and collaboratively within a multidisciplinary team
  • Experience through academic projects, research, hackathons, personal projects, or internships involving machine learning, Generative AI, NLP, simulations, analytics, or AI application development is preferred
  • GitHub portfolio or examples of AI/ML projects are encouraged
  • Experience or coursework in Python, SQL, Pandas, NumPy, and Jupyter Notebook
  • Exposure to OpenAI, Azure OpenAI, IBM watsonx, AWS/GCP AI services, LangChain, LlamaIndex, vector databases, FastAPI, Django, Flask, or Docker is a plus.

Education
  • Currently pursuing or recently completed a Bachelor's, Master's, or doctoral degree in Computer Science, Data Science, Artificial Intelligence/Machine Learning, Statistics, Applied Mathematics, Computer or Software Engineering, Information Systems, Operations Research, or a related quantitative or technical field

Position Type
  • Part-time Intern

Location
  • Remote

Apply