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Remote Simulation Engineer Jobs (NOW HIRING)

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Simulation (USS) Department of the Model-Based Engineering (MBE) Division in the Undersea Systems ...

Lockheed Martin Corporation

Modeling & Simulation Engineer tasks include: Design and documentation of model and simulation requirements and architecture Develop, verify, and validate both complex models and simulations such as ...

Merlin Labs

About you We are seeking a Staff Simulation Platform Engineer to design and build the next-generation simulation infrastructure that supports aircraft modeling, autonomy development, and hardware-in ...

GMV

GNC Algorithms and Simulation Engineer

Naples, NC · On-site +1

If you don't know us yet, we are an engineering and innovation company that works in different areas, one of them is defence and security where we work in cyber defence projects, simulation or space ...

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Remote Simulation Engineer information

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$39K

$123.4K

$190.5K

How much do remote simulation engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for remote simulation engineer in the United States is $123,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $146,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Simulation Engineer, you need a solid background in engineering principles, computational modeling, and a relevant degree in fields like mechanical, electrical, or aerospace engineering. Proficiency with simulation software such as ANSYS, MATLAB, or Simulink, alongside experience with CAD tools, is typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in a distributed work environment. These skills are crucial for delivering accurate, timely simulation results and collaborating efficiently with global teams.

What are Remote Simulation Engineers?

Remote Simulation Engineers are professionals who use computer-based models and simulations to replicate real-world systems, processes, or products, often working from remote locations. They design, develop, and analyze simulations to test and optimize designs in fields such as aerospace, automotive, healthcare, and manufacturing. By leveraging specialized software, they help organizations predict outcomes, reduce costs, and improve efficiency without the need for physical prototypes. Remote Simulation Engineers collaborate with multidisciplinary teams using digital tools, ensuring seamless communication and project delivery. Their role is crucial for organizations aiming to innovate and streamline development in a virtual environment.

What is the difference between Remote Simulation Engineer vs Remote Test Engineer?

AspectRemote Simulation EngineerRemote Test Engineer
Required CredentialsBachelor's or higher in engineering, proficiency in simulation softwareBachelor's or higher in engineering or related field, experience with testing tools
Work EnvironmentDesigning and running simulations, using CAD and simulation platforms remotelyConducting product tests, analyzing results, often remotely or in labs
Industry UsageAutomotive, aerospace, electronics industriesManufacturing, electronics, automotive sectors
Common Search/ComparisonYesYes

The Remote Simulation Engineer focuses on creating and analyzing virtual models to predict product performance, while the Remote Test Engineer conducts physical or virtual tests to validate product quality. Both roles require engineering backgrounds and often overlap in industries like automotive and aerospace, but their core activities differ: simulation versus testing.

How does a Remote Simulation Engineer typically collaborate with on-site teams and stakeholders?

As a Remote Simulation Engineer, you will frequently collaborate with on-site teams, project managers, and other engineers through virtual meetings, cloud-based platforms, and shared simulation tools. Clear communication and proactive coordination are essential, as you may be responsible for explaining simulation results, integrating feedback, and ensuring your models align with real-world requirements. Building strong relationships with cross-functional teams helps bridge the distance and ensures project milestones are met efficiently. Familiarity with collaborative software and version control systems is valuable for seamless teamwork.
More about Remote Simulation Engineer jobs
What cities are hiring for Remote Simulation Engineer jobs? Cities with the most Remote Simulation Engineer job openings:
What are the most commonly searched types of Simulation Engineer jobs? The most popular types of Simulation Engineer jobs are:
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What job categories do people searching Remote Simulation Engineer jobs look for? The top searched job categories for Remote Simulation Engineer jobs are:
Remote Simulation Engineer jobs near you
Infographic showing various Remote Simulation Engineer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $123,399 per year, or $59.3 per hour.
Machine Learning Modeling and Simulation Engineer

Machine Learning Modeling and Simulation Engineer

SAIC

Chantilly, VA • On-site, Remote

Full-time

Posted 2 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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