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Remote Game Simulation Programming Jobs in Virginia

SAIC

PCT Remote Pilot Operator

Warrenton, VA · Remote

$17.50 - $24/hr

... training simulator. The RPO operates a combination of a simulated radar display and voice ... Experience working in a multidisciplinary team (Multimedia Developers, Quality Assurance ...

SAIC

PCT Remote Pilot Operator

Warrenton, VA · On-site +1

... training simulator. The RPO operates a combination of a simulated radar display and voice ... Experience working in a multidisciplinary team (Multimedia Developers, Quality Assurance ...

Improbable LLC

Model Engineer

Arlington, VA · On-site +1

... gaming technology to life-saving use. Our mission? To enable the most realistic and effective ... You have 3+ years professional experience (or an advanced degree) in model and simulation ...

Improbable LLC

Model Engineer

Arlington, VA · On-site +1

... gaming technology to life-saving use. Our mission? To enable the most realistic and effective ... You have 3+ years professional experience (or an advanced degree) in model and simulation ...

GeoDelphi

Software Engineer

Alexandria, VA · Remote

Utilize programming languages such as Java, Python, and Go * Strong understanding of DevOps and ... remote sensing, GEOINT, or commercial geospatial data. * Experience with population simulation ...

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Remote Game Simulation Programming information

What is the difference between Remote Game Simulation Programming vs Remote Game Development?

AspectRemote Game Simulation ProgrammingRemote Game Development
Primary FocusCreating realistic simulations and physics models for gamesDesigning, coding, and building complete games
Required SkillsProgramming, physics, mathematics, simulation techniquesProgramming, art, storytelling, game design
Work EnvironmentTypically specialized teams within gaming or simulation companiesBroader roles including design, programming, and art teams
Industry UsageUsed in training, research, and advanced gaming simulationsUsed in entertainment, mobile, console, and PC game markets

Remote Game Simulation Programming focuses on developing realistic physics and simulation models, often for training or research purposes. In contrast, Remote Game Development involves creating complete games, including design, art, and programming. Both roles require strong programming skills, but Simulation Programming emphasizes physics and mathematical modeling, while Game Development covers a broader range of skills related to game creation.

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

To thrive as a Remote Game Simulation Programmer, you need strong proficiency in programming languages such as C++ or Python, a solid understanding of game physics and computer graphics, and often a degree in computer science or a related field. Familiarity with game engines like Unity or Unreal Engine, version control systems (e.g., Git), and simulation frameworks is typically required. Excellent problem-solving abilities, self-motivation, and effective virtual communication skills set top performers apart in remote environments. These skills and qualities are crucial for developing realistic, efficient simulations and collaborating seamlessly with distributed game development teams.

What is remote game simulation programming?

Remote game simulation programming involves designing, developing, and testing game simulations from a location outside of a traditional office, often from home. Professionals in this role use programming languages and tools to create systems that mimic real-world or fictional scenarios within video games. They collaborate with other developers and designers online, ensuring the game’s physics, AI, and mechanics work as intended. This job requires strong coding skills, problem-solving abilities, and knowledge of game development frameworks.

What are some common challenges faced by remote game simulation programmers, and how can they be addressed?

Remote game simulation programmers often encounter challenges such as coordinating across time zones, maintaining effective communication with team members, and managing version control for complex simulation projects. To address these issues, it's important to use robust collaboration tools like Slack, Jira, and Git, and to establish clear documentation and code review processes. Regular virtual meetings and sync-ups help ensure alignment, while fostering a culture of open communication can minimize misunderstandings and keep projects on track.
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What job categories do people searching Remote Game Simulation Programming jobs in Virginia look for? The top searched job categories for Remote Game Simulation Programming jobs in Virginia are:
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Remote Game Simulation Programming jobs near you
Machine Learning Modeling and Simulation Engineer

Machine Learning Modeling and Simulation Engineer

SAIC

Chantilly, VA • On-site, Remote

Full-time

Posted 29 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

70th 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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