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Remote Physics Simulation Jobs in Boston, MA (NOW HIRING)

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Senior Scientist - Radar Signal Processing

Woburn, MA · On-site +1

$139K - $170K/yr

Modeling and Simulation of advanced RF systems, new sensing paradigms, and multi-function RF ... Advanced degree in Electrical Engineering, Mathematics, Physics, or a related field * Experience ...

All JobsPhysics Simulation JobsRemote Physics Simulation JobsRemote Physics Simulation Jobs in Boston, MA

Remote Physics Simulation information

See Boston, MA salary details

$11.9K

$73.4K

$132K

How much do remote physics simulation jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote physics simulation in Boston, MA is $73,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,800.00 and $86,400.00 per year, depending on experience, location, and employer.

What is a remote physics simulation?

A Remote Physics Simulation job involves using computer software to model and analyze physical systems from a remote location, rather than in a traditional laboratory or office setting. Professionals in this field create simulations that help predict how objects or systems behave under various conditions, supporting research, engineering, or educational projects. These roles often require strong skills in physics, mathematics, and programming, as well as experience with simulation tools and software. Remote work in this area allows professionals to collaborate with teams and contribute to projects from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote physics simulation engineer?

To thrive as a Remote Physics Simulation Engineer, you need a strong background in physics, mathematics, and computational modeling, typically supported by a relevant degree such as physics, engineering, or computer science. Proficiency with simulation software (like ANSYS, COMSOL, or MATLAB), programming languages (such as Python or C++), and experience in high-performance computing environments are often required. Excellent problem-solving abilities, communication skills, and self-motivation are vital soft skills for collaborating effectively in a remote setting. These skills ensure accurate simulations, efficient workflows, and successful teamwork on complex, distributed projects.

What are some common challenges faced when collaborating remotely on physics simulation projects?

Collaborating remotely on physics simulation projects often involves coordinating across different time zones, ensuring consistent communication, and managing access to high-performance computing resources. Team members need to share complex codebases, large datasets, and simulation results efficiently, which requires robust version control and cloud-based tools. Regular virtual meetings and clear documentation help maintain project alignment, while effective issue tracking tools can address bugs or discrepancies in simulation outcomes. Building strong remote collaboration skills is key to overcoming these challenges and delivering successful simulation results.

What is the difference between Remote Physics Simulation vs Remote Mechanical Engineer?

AspectRemote Physics SimulationRemote Mechanical Engineer
Required credentialsPhysics or related degrees, simulation software proficiencyMechanical engineering degree, CAD and design software skills
Work environmentPrimarily software-based, research-focusedDesign, analysis, and testing of mechanical systems
Industry usageResearch labs, simulation firms, aerospace, gamingManufacturing, automotive, robotics, product design
Common search intentSimulation jobs, physics modeling rolesMechanical design jobs, product development roles

Remote Physics Simulation roles focus on developing and running physics-based models using specialized software, often in research or simulation companies. Remote Mechanical Engineer positions involve designing and analyzing mechanical systems, frequently using CAD tools. While both roles require engineering knowledge, Physics Simulation emphasizes computational modeling, whereas Mechanical Engineering centers on physical product development.

What are the most commonly searched types of Physics Simulation jobs in Boston, MA?

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

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

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

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

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

Remote Physics Simulation jobs near you

Computational Design Research Engineer

Foundation EGI

Boston, MA • Remote

$100K - $140K/yr

Full-time

Re-posted 16 days ago

Job description

REQUIRED: MUST have experience with Code Development + Computational Design and/or Geometry Processing. Applicants will not be considered without this experience.
 
About Us:
 
We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.
 
 

On this Role:

This role is a mix of a few worlds coming together. You’ll be working with machine learning but not in a vacuum it’s applied to real engineering problems, working with 2D and 3D data from CAD, CAE, and CAM systems. A big part of the work is taking complex geometry, design workflows, and simulation data and figuring out how to turn that into something an AI system can actually understand and use.

We’re looking for someone who’s strong technically, especially in Python and ML, but also has the curiosity to dig into how things are designed and built in the real world. You might come from a research background or industry but either way you’re comfortable moving between theory and practical application. If you’ve spent time around mechanical systems or engineering design, that’s a big plus, because a lot of this role is about bridging that gap between advanced models and how engineers actually work day to day.

 
Responsibilities
  • Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
  • Build services for reading, processing, and writing 2D/3D engineering data.
  • Develop rendering modules for generating 2D/3D visual assets.
  • Curate and manage large-scale datasets for learning-based systems.
  • Implement and optimize post-training workflows for machine learning models.
  • Contribute to the development of domain-specific languages for engineering tasks.
What we are looking for
  • 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages.
  • Proficient in writing clean, modular, and maintainable Python code.
  • Experience with dataset creation and data pipeline development.
  • PhD or MS with a focus in Computational Design, Simulation, or AI.
  • Experience developing CAD/CAM/CAE software tools.
  • Experience developing or fine-tuning large language models (LLMs), including post-training methods such as quantization, pruning, distillation, or reinforcement learning.
  • Experience designing or implementing DSLs or compilers.

This range represents base compensation only and is intended to provide flexibility for candidates with varying levels of experience, expertise and demonstrated impact. Final compensation will be determined based on factors including skills, experience, location,and overall alignment with the role.

In addition to base salary, eligible employees may receive:

• Equity participation in the company's long-term success
• Comprehensive benefits package including medical, dental and vision coverage
• Retirement savings benefits
• Generous paid time off and company holidays
• Remote-first work environment
• Fully funded company offsites and team gatherings
• Professional development and learning opportunities
• Home office support and remote work resources

We believe compensation should grow alongside impact. Our salary ranges are intentionally designed to provide room for career progression, increased scope of responsibility and continued growth within Foundation EGI.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.