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Intern Work From Home Process Simulation Engineer Jobs in Virginia

The Jernigan Agency

WORK FROM HOME

Charlottesville, VA · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... See the application through the underwriting process and get our clients covered. Requirements for ...

AO Globe Life

Work From Home

Virginia Beach, VA · On-site +1

Join our fully virtual, work-from-home team where you can earn an exceptional income while still cherishing every precious moment with your loved ones. With the freedom to set your own hours, you can ...

AO Globe Life

Work From Home

Virginia Beach, VA · On-site +1

Join our fully virtual, work-from-home team where you can earn an exceptional income while still cherishing every precious moment with your loved ones. With the freedom to set your own hours, you can ...

AO Globe Life

Work From Home

Virginia Beach, VA · On-site +1

Join our fully virtual, work-from-home team where you can earn an exceptional income while still cherishing every precious moment with your loved ones. With the freedom to set your own hours, you can ...

AO Globe Life

Work From Home

Virginia Beach, VA · On-site +1

Join our fully virtual, work-from-home team where you can earn an exceptional income while still cherishing every precious moment with your loved ones. With the freedom to set your own hours, you can ...

AO Globe Life

Work From Home

Virginia Beach, VA · On-site +1

Join our fully virtual, work-from-home team where you can earn an exceptional income while still cherishing every precious moment with your loved ones. With the freedom to set your own hours, you can ...

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Intern Work From Home Process Simulation Engineer information

What is the difference between Intern Work From Home Process Simulation Engineer vs Intern Mechanical Engineer?

AspectIntern Work From Home Process Simulation EngineerIntern Mechanical Engineer
Required CredentialsEnrolled in engineering or related degree, basic knowledge of simulation toolsEnrolled in mechanical engineering or related degree, basic CAD skills
Work EnvironmentRemote, computer-based, focused on simulation softwareOn-site or hybrid, hands-on with physical components and design
Industry UsageManufacturing, automotive, aerospace, process industriesManufacturing, automotive, aerospace, product design

The Intern Work From Home Process Simulation Engineer focuses on virtual modeling and simulation of manufacturing or process workflows remotely, while the Intern Mechanical Engineer typically engages in physical design, testing, and hands-on tasks on-site. Both roles require foundational engineering knowledge and are common in manufacturing and aerospace industries, but differ mainly in work environment and specific skill sets.

What are the key skills and qualifications needed to thrive as an Intern Work From Home Process Simulation Engineer, and why are they important?

To succeed as an Intern Work From Home Process Simulation Engineer, you typically need a background in engineering or computer science, strong analytical abilities, and a basic understanding of process modeling concepts. Familiarity with simulation software such as Arena, Simul8, or MATLAB, as well as proficiency in data analysis tools, is often required. Excellent communication, problem-solving skills, and self-motivation are essential soft skills for collaborating remotely and managing tasks independently. These competencies enable interns to effectively contribute to virtual teams, analyze complex processes, and deliver actionable insights from simulated models.

What is an Intern Work From Home Process Simulation Engineer?

An Intern Work From Home Process Simulation Engineer is a student or recent graduate who assists with designing, modeling, and analyzing processes in virtual environments, all while working remotely. They use simulation software to test and optimize workflows, manufacturing processes, or systems for efficiency and effectiveness. Their responsibilities often include data collection, building digital models, analyzing simulation results, and collaborating with engineering teams virtually. This role provides hands-on experience in process engineering and simulation while allowing flexibility through remote work.

What types of projects can an Intern Work From Home Process Simulation Engineer expect to work on, and how do these contribute to team goals?

As an Intern Work From Home Process Simulation Engineer, you'll typically be assigned to support ongoing simulation projects that model or optimize manufacturing or business processes. Your daily responsibilities may include building and validating simulation models, analyzing process data, and assisting in preparing reports or presentations for team meetings. You'll collaborate closely with senior engineers and project managers through virtual platforms, contributing to real-world problem-solving and process improvements. These projects not only help you develop technical and teamwork skills but also provide valuable experience that can lead to future full-time opportunities.
What are popular job titles related to Intern Work From Home Process Simulation Engineer jobs in Virginia? For Intern Work From Home Process Simulation Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Intern Work From Home Process Simulation Engineer jobs in Virginia look for? The top searched job categories for Intern Work From Home Process Simulation Engineer jobs in Virginia are:
What cities in Virginia are hiring for Intern Work From Home Process Simulation Engineer jobs? Cities in Virginia with the most Intern Work From Home Process Simulation Engineer job openings:
Intern Work From Home Process Simulation Engineer jobs near you
Infographic showing various Intern Work From Home Process Simulation Engineer job openings in Virginia as of June 2026, with employment types broken down into 3% As Needed, 53% Full Time, 3% Part Time, and 41% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.
Machine Learning Modeling and Simulation Engineer

Machine Learning Modeling and Simulation Engineer

SAIC

Chantilly, VA • On-site, Remote

Full-time

Posted 6 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

69th of 204 rated it services

Job description

Job ID: 2611773

Location: Chantilly, VA, US

Date Posted: 2026-04-22

Category: Engineering and Sciences

Subcategory: Modeling/Sim Engr

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

SAIC has need for a Machine Learning Modeling and Simulation Engineer  to support a rapidly expanding Government Intelligence Community (IC) customer with cutting-edge programs within the National Reconnaissance Office (NRO) in Chantilly, VA.

Note:  The role offers a flexible work schedule, but we ask our team to be available for team meetings during core business hours (10:00 a.m. – 3:00 p.m.).

As the Machine Learning Modeling and Simulation Engineer, you will provide technical expertise across a variety of Machine Learning (ML) and Modeling and Simulation (M&S) topics, including developing and training ML models, designing simulation frameworks, conducting performance analyses, and applying data-driven approaches to solve complex problems. You will also assist with Systems Engineering topics (e.g., requirements, configuration management, readiness, verification and validation, etc.) to ensure seamless integration of ML capabilities within simulation environments. 

Job Duties to include:

  • Develop and maintain physics-based simulation models of spacecraft systems, including structures, sensors, and mission environments.
  • Perform end-to-end performance modeling for satellite missions, integrating sensor, orbital, and environmental models.
  • Conduct sensor phenomenology studies, including optical, infrared, or radar modeling for detection, tracking, and signature analysis.
  • Perform orbital mechanics modeling including orbit determination, orbital maneuvering, and spacecraft flight dynamics.
  • Use scripting languages (Python, MATLAB, or similar) to automate workflows, perform data analysis, and interface between simulation tools.
  • Apply Artificial Intelligence/Machine Learning (AI/ML) techniques (e.g., supervised/unsupervised learning, reinforcement learning, predictive modeling) to enhance simulation fidelity and performance.
  • Develop AI/ML models to analyze and predict satellite system behaviors, performance metrics, and mission outcomes based on simulation data.
  • Design and implement algorithms for anomaly detection, predictive maintenance, and optimization of satellite operations.
  • Use statistical and machine learning techniques to analyze data, identify patterns, and uncover insights relevant to satellite systems.
  • Integrate AI/ML models into existing simulation frameworks and tools to enhance their capabilities.
  • Provide value-added judgment and offer strategic recommendations to the customer on program objectives, advanced technologies, and system enhancements. 
  • Produce highly detailed, practical, and consistent deliverables that align with the organization’s mission and objectives, with a focus on innovation and cutting-edge solutions in machine learning and simulation. 

Qualifications

Required Education and Experience:

  • Bachelor's Aerospace Engineering, Mechanical Engineering, Physics, and five (5) years or more experience; Masters and three (3) years or more experience; PhD and 0 years related experience. 
  • Active Top Secret/SCI w/Poly Clearance.
  • 3+ years of experience in modeling and simulation for aerospace or space systems.
  • Strong understanding of sensor phenomenology --such as optical, infrared, or radar systems --and associated modeling methods.
  • Intermediate Python programming experience, demonstrated through hands-on experience with tasks such as data manipulation, automation, and development of Python-based solutions. Experience with libraries such as NumPy, SciPy, pandas, and matplotlib is beneficial.
  • Ability to communicate technical results clearly in written and verbal formats.

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