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Remote Simulator Jobs in Dallas, TX (NOW HIRING)

Purple Hires Inc

ASIC DFT Engineer

Plano, TX · Remote

Remote, (Onsite) Duration: Contract Year of Exp: 8+ yrs to 15 yrs. We are seeking a highly ... Support ATPG pattern generation, ATPG simulations, DRC analysis, test coverage analysis, and ...

Purple Hires Inc

DFT Engineer

Plano, TX · Remote

Remote, (Onsite) Duration: Contract Year of Exp: 8+ yrs to 15 yrs. We are seeking a highly ... Support ATPG pattern generation, ATPG simulations, DRC analysis, test coverage analysis, and ...

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All JobsSimulator JobsRemote Simulator JobsRemote Simulator Jobs in Dallas, TX

Remote Simulator information

See Dallas, TX salary details

$49K

$129.5K

$198.8K

How much do remote simulator jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote simulator in Dallas, TX is $129,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $153,300.00 per year, depending on experience, location, and employer.

What is a remote simulator?

Remote simulators are software or hardware systems that allow users to emulate and interact with complex environments or equipment from a distance, often via the internet. They are widely used for training, testing, and development purposes across industries such as aviation, healthcare, and software engineering. By using a remote simulator, users can practice procedures, test scenarios, or debug code without physical access to the actual system, increasing accessibility and safety. These tools are especially valuable for remote learning, distributed teams, and situations where access to real equipment is limited.

What are the key skills and qualifications needed to thrive as a remote simulator?

To thrive as a Remote Simulator, you need strong analytical abilities, attention to detail, and a relevant technical background—often in engineering, aviation, or computer science. Familiarity with simulation software, remote control systems, and sometimes certifications in simulation technologies are typically required. Excellent communication, problem-solving skills, and the ability to work independently are crucial soft skills in this role. These competencies ensure accurate simulation execution, effective troubleshooting, and seamless collaboration with remote teams to achieve project goals.

How does a remote simulator typically collaborate with on-site engineers during simulation projects?

Remote Simulators frequently work alongside on-site engineers and technical teams through regular video meetings, shared simulation dashboards, and real-time communication tools. Collaboration involves exchanging data, troubleshooting simulation results, and adjusting scenarios to reflect real-world changes. Building strong communication skills and being proactive about clarifying requirements are key to ensuring simulations align with project goals. This remote setup allows for flexibility but also requires effective time management to accommodate different time zones and project schedules.

What is the difference between Remote Simulator vs Remote QA Tester?

AspectRemote SimulatorRemote QA Tester
Required CredentialsKnowledge of simulation software, programming skills, relevant certifications in simulation or software developmentTesting certifications (e.g., ISTQB), understanding of testing tools, basic programming knowledge
Work EnvironmentDeveloping and testing simulation models, often in software development teamsExecuting test cases, identifying bugs, ensuring software quality in various applications
Industry UsageUsed in gaming, training, automotive, aerospace industriesCommon in software development, gaming, and app industries

Remote Simulator roles focus on creating and refining simulation models, requiring technical skills in programming and simulation software. Remote QA Testers concentrate on testing software quality, identifying bugs, and ensuring functionality. While both roles involve software, their core responsibilities and skill sets differ, making them distinct career paths within the tech industry.

What are popular job titles related to Remote Simulator jobs in Dallas, TX?

For Remote Simulator jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Remote Simulator jobs in Dallas, TX look for?

The top searched job categories for Remote Simulator jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Remote Simulator jobs?

Cities near Dallas, TX with the most Remote Simulator job openings:

Remote Simulator jobs near you

Computational Physics Expert - Remote

Dallas, TX • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $100/hr

Full-time

Posted 16 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.