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Remote Simulator Jobs (NOW HIRING)

JM Hunter Group

Remote Truss Design Manager

Burleson, TX · Remote

$1.1K - $1.5K/wk

We are looking for an experienced Remote Truss Design Manager to lead a team of 10 truss designers ... Use specialized software to create 3D models of trusses and perform simulations to test their ...

SAIC

ZDC Remote Pilot Operator

Leesburg, VA · Remote

$40K - $80K/yr

The RPO operates a combination of a simulated radar display and voice communication system to simulate the actions and communication of pilots and remote ATC facilities during medium and high ...

SAIC

S46 Remote Pilot Operator

Burien, WA · Remote

$40K - $80K/yr

The RPO operates a combination of a simulated radar display and voice communication system to simulate the actions and communication of pilots and remote ATC facilities during medium and high ...

SAIC

ZNY Remote Pilot Operator

Ronkonkoma, NY · Remote

$40K - $80K/yr

The RPO operates a combination of a simulated radar display and voice communication system to simulate the actions and communication of pilots and remote ATC facilities during medium and high ...

SAIC

ZME Remote Pilot Operator

Memphis, TN · Remote

The RPO operates a combination of a simulated radar display and voice communication system to simulate the actions and communication of pilots and remote ATC facilities during medium and high ...

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Remote Simulator information

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$49.5K

$130.9K

$201K

How much do remote simulator jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote simulator in the United States is $130,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $155,000.00 per year, depending on experience, location, and employer.

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 are remote simulators?

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 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 the key skills and qualifications needed to thrive as a Remote Simulator, and why are they important?

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.
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Remote Simulator jobs near you
Software Engineer II, Simulation, tvScientific

Software Engineer II, Simulation, tvScientific

Pinterest

San Francisco, CA • Remote

Other

Re-posted 15 days ago

Job description

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Software Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem - auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios - and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.


What you'll do:

  • Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
  • Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
  • Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
  • Use simulation to de-risk ML model deployments - validate new bidding and optimization strategies before they touch live traffic
  • Define the technical direction for simulation and AI infrastructure and mentor engineers on the team


What we're looking for:

  • Systems programming experience in Zig or similar (C, C++, Rust)
  • Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
  • Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows - and good judgment about when they help vs. when they don't
  • Adtech experience: you understand RTB mechanics, and the dynamics of programmatic advertising
  • Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks
  • Clear written communication: you'll be defining new technical directions and need to bring others along
  • Ownership: you scope, design, and ship systems end-to-end with minimal direction
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
  • Bachelor's degree in computer science, machine learning, statistics, a related field or equivalent experience
  • Nice-to-Haves:
    • Strong production Python skills and experience building simulation or modeling systems
    • Causal inference - uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    • Experience with discrete event simulation, Monte Carlo methods, or digital twins
    • Reinforcement learning - using simulated environments for policy learning and evaluation
    • Experience building agentic AI systems or multi-agent simulations
    • Big data experience with Scala and Spark
    • MLOps experience - model deployment, monitoring, and pipeline orchestration on AWS

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.


Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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