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Remote Physics Simulation Jobs in Tacoma, WA (NOW HIRING)

Armavel, LLC

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Quantum Computing & Cryptography Engineer (REMOTE)

Seattle, WA · Remote

$200K - $250K/yr

... simulation, and cryptographic analysis. * Post‐Quantum Cryptography -- Implement and evaluate ... Master's or PhD in Quantum Computing, Physics, Computer Science, Cryptography, Mathematics, or ...

Blue Origin

PLL IC Design Engineer - TeraWave

Seattle, WA · On-site +1

$230K - $322K/yr

A temporary remote work exception is approved while our Bay Area and San Diego sites are being ... Full proficiency in mixed-mode modeling, simulation, and verification methodologies using toolsets ...

All JobsPhysics Simulation JobsRemote Physics Simulation JobsRemote Physics Simulation Jobs in Tacoma, WA

Remote Physics Simulation information

See Tacoma, WA salary details

$11.8K

$72.6K

$130.5K

How much do remote physics simulation jobs pay per year?

As of Aug 31, 2026, the average yearly pay for remote physics simulation in Tacoma, WA is $72,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,300.00 and $85,400.00 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 Tacoma, WA?

The most popular types of Physics Simulation jobs in Tacoma, WA are:

What are popular job titles related to Remote Physics Simulation jobs in Tacoma, WA?

For Remote Physics Simulation jobs in Tacoma, WA, the most frequently searched job titles are:

What job categories do people searching Remote Physics Simulation jobs in Tacoma, WA look for?

The top searched job categories for Remote Physics Simulation jobs in Tacoma, WA are:

What cities near Tacoma, WA are hiring for Remote Physics Simulation jobs?

Cities near Tacoma, WA with the most Remote Physics Simulation job openings:

Remote Physics Simulation jobs near you

Computational Physics Expert - Remote

YO AI Labs

Seattle, WA • Remote

$80 - $100/hr

Full-time

Posted 5 days ago

Job description

Job Title: Computational Physics AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Computational Physics Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide real-world examples of computational physics problem-solving and demonstrate how modern AI coding agents can be applied to sophisticated technical workflows.

The ideal candidate is a STEM professional with hands-on experience using AI coding agents such as Codex, Claude Science, Claude Code, and Claude Cowork as active tools in computational and technical work.

No prior experience in AI training is required—your computational physics expertise, technical judgment, and ability to apply agentic tools to complex problems are what matter most.

Scope of Work
  • Provide detailed, real-world walkthroughs of computational physics problem-solving using AI coding agents in complex technical environments.
  • Demonstrate the use of Codex, Claude Science, Claude Code, and Claude Cowork for advanced technical workflows.
  • Document how AI agents are used for tasks such as navigating large codebases, debugging complex issues, developing sophisticated features, and automating multi-step workflows.
  • Clearly describe the approaches, technical decisions, methodologies, and agent-generated sequences used to solve computational problems.
  • Evaluate workflows in which AI agents contribute to architectural changes, codebase modifications, debugging, and ambiguous computational challenges.
  • Develop high-quality technical examples, evaluations, and feedback to support AI training and model improvement.
  • Analyze the accuracy, effectiveness, and limitations of AI-generated solutions in computational physics contexts.
  • Communicate technical findings and insights through clear written and verbal documentation.
  • Collaborate with project stakeholders to refine technical examples, workflows, and evaluation criteria.
Required Skills
  • Computational Physics
  • Python
  • AI Coding Agents
  • Codex
  • Claude Science
  • Claude Code
  • Claude Cowork
  • Debugging
  • Technical Documentation
  • Architectural Change Management
  • Problem-Solving
  • Technical Communication
Preferred Qualifications
  • Advanced hands-on experience in computational physics, scientific computing, numerical methods, simulation, or related technical fields.
  • Demonstrated experience using Codex, Claude Science, Claude Code, and Claude Cowork in real-world technical workflows.
  • Current or recent experience as a STEM professional applying AI coding agents to complex technical problems beyond basic coding assistance.
  • Strong Python programming skills and experience working with scientific or computational codebases.
  • Ability to clearly explain complex, end-to-end technical solutions and the role AI agents played throughout the workflow.
  • Experience generating and evaluating agent-driven sequences and multi-step workflows, rather than relying primarily on conversational AI interactions.
  • Experience debugging complex systems and identifying subtle technical issues with the assistance of AI coding agents.
  • Familiarity with architectural change management, refactoring, and development within large or complex codebases.
  • Strong written and verbal communication skills, with the ability to produce detailed and technically accurate documentation.
  • Strong analytical thinking and the ability to evaluate AI-generated technical solutions critically.