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Remote Robotic Simulation Engineer Jobs in Boston, MA

SES

Computational Materials Scientist

Woburn, MA · On-site +1

$180K - $200K/yr

  • Medical

... robotics, and drones . To learn more about us, please visit: www.ses.ai What We Offer: * A highly ... Engineering, or a closely related computational/physics field. * Core Simulation Expertise: Deep ...

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

... remote position! Required * BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI, Robotics, or a related field. * Strong hands-on programming ...

Motional

Senior Engineer

Boston, MA · Remote

$190K - $244K/yr

Ref. No. N270 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Design, implement, and test ... Three years of experience in software development for autonomous robotics. * Experience must ...

Motional

Senior Engineer

Boston, MA · On-site +1

$200K - $241K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

No. N266 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Develop algorithms on planning ... Requires Bachelor's degree or higher in Robotics, Computer Science, Computer Engineering ...

Motional

Perception Engineer

Boston, MA · On-site +1

$165K - $197K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

N322 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Connect/drive project-level impact ... Requires Bachelor's or higher in Computer Science, Electrical Engineering, Robotics, or or a ...

Motional

Senior Engineer

Boston, MA · On-site +1

$190K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Ref. No. N270 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Design, implement, and test ... Three years of experience in software development for autonomous robotics. * Experience must ...

Motional

Senior Engineer

Boston, MA · Remote

$200K - $241K/yr

No. N266 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Develop algorithms on planning ... Requires Bachelor's degree or higher in Robotics, Computer Science, Computer Engineering ...

Motional

Perception Engineer

Boston, MA · Remote

$165K - $197K/yr

N322 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Connect/drive project-level impact ... Requires Bachelor's or higher in Computer Science, Electrical Engineering, Robotics, or or a ...

Revolution Space

Senior Software Systems Engineer

Boston, MA · On-site +1

$156K - $244K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... remote. Responsibilities: * Establish and maintain software development, testing, and delivery ... Oversee creation of software simulators * Participate in creation of full system emulators

Enigma Aerospace

Aeronautical Test Engineer

Burlington, MA · On-site +1

  • Medical

  • Retirement

  • PTO

This role will involve significant contributions to aircraft design through analysis, simulation ... The founding team brings experience from leading organizations such as American Robotics ...

Motional

Staff Engineer

Boston, MA · On-site +1

$205K - $272K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Collaborate with perception, simulation, data platform and integration teams to validate and ... or robotics * Advanced knowledge of software engineering principles including software design ...

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Showing results 41-60

All JobsRobotic Simulation Engineer JobsRemote Robotic Simulation Engineer JobsRemote Robotic Simulation Engineer Jobs in Boston, MA

Remote Robotic Simulation Engineer information

See Boston, MA salary details

$31.5K

$114.7K

$183.6K

How much do remote robotic simulation engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote robotic simulation engineer in Boston, MA is $114,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $138,000.00 per year, depending on experience, location, and employer.

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.

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 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 Boston, MA?

The most popular types of Robotic Simulation Engineer jobs in Boston, MA are:

What are popular job titles related to Remote Robotic Simulation Engineer jobs in Boston, MA?

For Remote Robotic Simulation Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Robotic Simulation Engineer jobs in Boston, MA look for?

The top searched job categories for Remote Robotic Simulation Engineer jobs in Boston, MA are:

Remote Robotic Simulation Engineer jobs near you

Computational Materials Scientist

SES

Woburn, MA • On-site, Remote

$180K - $200K/yr

Full-time

Medical

Re-posted 15 days ago

Job description

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones.
To learn more about us, please visit: www.ses.ai
What We Offer:
  • A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company.
  • The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact.
  • Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology.
  • Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering.
  • Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions.

What we Need:
The SES AI Prometheus team isseeking an exceptional Computational Materials Scientist to combine physics-based simulation (DFT, MD, quantum modeling) with AI-assisted material prediction to generate high-quality training data and accelerate materials discovery. This role is crucial for advancing our understanding of electrochemical energy materials at the atomic level. As a Computational Materials Scientist, you will be a core data-driven modeler responsible for executing and automating complex simulations.
Essential Duties and Responsibilities:
  • Atomistic Modeling & Simulation
  • Conduct and oversee DFT (Density Functional Theory), MD (Molecular Dynamics), and QM (Quantum Mechanics) simulations of battery components, including electrolytes, coatings, and electrodes.
  • Develop and refine ML-enhanced force fields and surrogate models to accelerate simulation time scales and enable multi-scale simulation efforts.
  • Apply expertise in atomistic simulation and quantum modeling to solve key challenges in electrochemical energy materials (e.g., batteries/fuel cells).
  • AI Data Generation & Prediction
  • Generate high-quality, structured simulation data to serve as training sets for AI property prediction models and material screening modules.
  • Contribute to the development of battery domain LLM features and advanced property-prediction models.
  • Automate complex simulation workflows using strong coding practices to enhance efficiency and scalability.
  • Collaboration & Tooling
  • Collaborate with experimental teams, leveraging a hybrid computational + experimental literacy to validate models and drive design iteration.
  • Utilize advanced simulation tools (VASP, Quantum Espresso) and data science libraries (TensorFlow, Pandas) to manage and analyze large datasets.

Education and/or Experience:
  • Education: Ph.D. in Mechanical Engineering, Materials Science, Chemical Engineering, or a closely related computational/physics field.
  • Core Simulation Expertise: Deep and extensive experience in atomistic simulation and quantum modeling, including proficiency with key QM/DFT tools (VASP, Quantum Espresso) and MD simulations.
  • Domain Focus: Strong background in electrochemical energy materials and extensive computational work focused on batteries/fuel cells.
  • Coding Proficiency: Strong coding skills in Python (along with related libraries like Pandas and TensorFlow) for simulation workflow automation and data analysis.
  • ML Application: Experience in developing or utilizing ML-enhanced force fields and surrogate models for materials prediction., or equivalent practical experience.

Preferred Qualifications:
  • LLM Development: Experience in developing battery domain LLM features or property-prediction models.
  • Hybrid Skillset: Demonstrated experience working in a hybrid computational + experimental environment.
  • Tooling Diversity: Familiarity with additional data analysis tools like R, SQL, MATLAB, and time-series forecasting libraries like Prophet.
  • Target Background: Previous experience at national laboratories, XtalPi, Entalpic, or deep battery modeling groups.

The salary range for this position as required under applicable pay transparency laws.
Salary Range
$180,000-$200,000 USD

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