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Remote Robotic Simulation Engineer Jobs in Washington

Helsing

Software Engineer, Rust

Washington, DC · On-site +1

Developing and testing software using simulation environments * Writing software that must perform ... Background in robotics, autonomous vehicles, or drone systems * Experience with sensor fusion or ...

Helsing

Software Engineer, Rust

Washington, DC · On-site +1

Developing and testing software using simulation environments * Writing software that must perform ... Background in robotics, autonomous vehicles, or drone systems * Experience with sensor fusion or ...

Beth Page tech

Software Engineer

Maryland City, MD · Remote

Remote Type : Full Time : We are seeking a motivated Junior Software Engineer to join our team in ... Experience with UiPath or robotic process automation (RPA) tools is a plus but not required.

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Remote Robotic Simulation Engineer information

How does a Remote Robotic Simulation Engineer typically collaborate with cross-functional teams during project development?

As a Remote Robotic Simulation Engineer, you will work closely with mechanical, electrical, and software engineering teams to ensure accurate virtual representations of robotic systems. Collaboration often involves regular video meetings, shared simulation files, and joint troubleshooting sessions to validate robotic behaviors before deployment. Clear communication skills and familiarity with collaborative platforms are essential, as feedback and updates are exchanged frequently to meet project milestones. This remote structure allows for flexible work arrangements but also demands proactive engagement to stay aligned with team goals.

What is a Remote Robotic Simulation Engineer?

A Remote Robotic Simulation Engineer is a professional who designs, develops, and tests virtual models of robotic systems using simulation software, often while working from a remote location. Their work helps predict and improve the performance of robots before they are physically built, reducing costs and development time. These engineers collaborate with multidisciplinary teams to refine robot behaviors in simulated environments and may also troubleshoot or optimize robot algorithms. The role often requires strong skills in robotics, computer programming, and simulation tools like ROS, Gazebo, or MATLAB. Working remotely, they leverage digital communication tools to stay connected with their teams and projects.

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

To thrive as a Remote Robotic Simulation Engineer, you need a solid background in robotics, computer science, and engineering, often supported by a bachelor’s or master’s degree in a related field. Proficiency with simulation software such as Gazebo or ROS, familiarity with programming languages like Python or C++, and experience with 3D modeling tools are typically required. Strong problem-solving abilities, communication skills, and self-motivation are crucial for excelling in remote and collaborative environments. These skills ensure precise development, effective troubleshooting, and successful integration of robotic systems in virtual settings.

What is the difference between Remote Robotic Simulation Engineer vs Remote Robotics Software Developer?

AspectRemote Robotic Simulation EngineerRemote Robotics Software Developer
CredentialsBachelor's or higher in Robotics, Mechanical, or Electrical Engineering; experience with simulation toolsBachelor's or higher in Computer Science, Robotics, or related field; programming skills
Work EnvironmentPrimarily uses simulation platforms like Gazebo, V-REP; collaborates with engineers and researchersFocuses on developing robotics software, algorithms, and control systems; often involves coding and testing
Industry UsageCommon in research, testing, and validation of robotic systemsUsed in software development for robotics applications, automation, and product deployment

The main difference is that Remote Robotic Simulation Engineers focus on creating and testing virtual models of robots using simulation tools, while Remote Robotics Software Developers primarily write and optimize software for robotic systems. Both roles require programming skills and industry knowledge but serve different stages of robotic development.

What are the most commonly searched types of Robotic Simulation Engineer jobs in Washington? The most popular types of Robotic Simulation Engineer jobs in Washington are:
What are popular job titles related to Remote Robotic Simulation Engineer jobs in Washington? For Remote Robotic Simulation Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Robotic Simulation Engineer jobs in Washington look for? The top searched job categories for Remote Robotic Simulation Engineer jobs in Washington are:
What cities in Washington are hiring for Remote Robotic Simulation Engineer jobs? Cities in Washington with the most Remote Robotic Simulation Engineer job openings:
Remote Robotic Simulation Engineer jobs near you
Infographic showing various Remote Robotic Simulation Engineer job openings in Washington as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.
Machine Learning Modeling and Simulation Engineer

Machine Learning Modeling and Simulation Engineer

SAIC

Chantilly, VA • On-site, Remote

Full-time

Posted 4 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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