ZipRecruiter

Log In

2

Remote Modeling Simulation Engineer Jobs (NOW HIRING)

Formic

Embodied AI / Simulation Engineer

San Francisco, CA · On-site +1

... remote troubleshooting, live video streaming, and continuous system improvement. This work directly ... Vision-Language-Action (VLA) models * Latent action or hierarchical skill models * Work with modern ...

Pae

GN&C Sr Engineer

Huntsville, AL · On-site +1

$103K - $141K/yr

Model, develop, simulate, and analyze launch vehicle, spacecraft, and lander dynamics and control ... Must also be able to work collaboratively with other team members both locally and remote at other ...

Astrion

Parachute Modeling Engineer - Remote

Houston, TX · On-site +1

$94K - $136K/yr

Overview Parachute Modeling Engineer Location: Remote for NASA Johnson Space Center Status ... Experience developing, verifying, and validating parachute simulation models. * Experience ...

The Pennsylvania State University

$109K - $191K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Analyze, design, implement, and maintain software associated with undersea systems modeling and ...

The Pennsylvania State University

$76K - $129K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Analyze, design, implement, and maintain software associated with undersea systems modeling and ...

next page

Showing results 1-20

All JobsRemote Modeling Simulation Engineer Jobs

Remote Modeling Simulation Engineer information

See salary details

$39K

$123.4K

$190.5K

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

As of Jun 19, 2026, the average yearly pay for remote modeling simulation engineer in the United States is $123,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $146,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Modeling Simulation Engineer vs Remote Data Analyst?

AspectRemote Modeling Simulation EngineerRemote Data Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with simulation softwareBachelor's or higher in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering teams, simulation labs, software development settingsBusiness, finance, healthcare, or tech companies analyzing data sets
Industry UsageManufacturing, aerospace, automotive, defenseFinance, marketing, healthcare, technology
Common Search/ComparisonYesYes

The Remote Modeling Simulation Engineer focuses on creating and running simulations to predict system behaviors, often in engineering or manufacturing contexts. In contrast, the Remote Data Analyst interprets data to inform business decisions across various industries. While both roles require analytical skills and technical knowledge, their tools, applications, and industry focus differ significantly.

How does a Remote Modeling Simulation Engineer typically collaborate with cross-functional teams despite working remotely?

Remote Modeling Simulation Engineers frequently work with multidisciplinary teams, including software developers, project managers, and subject matter experts. Collaboration is typically facilitated through virtual meetings, shared simulation platforms, and cloud-based project management tools. Regular communication and thorough documentation are essential to ensure alignment on project goals and simulation requirements. While remote work offers flexibility, it also requires proactive engagement to stay connected and effectively contribute to team-driven problem solving.

What are Remote Modeling Simulation Engineers?

Remote Modeling Simulation Engineers are professionals who use computer-based models and simulations to analyze, design, and optimize systems or products, often working from a location outside of a traditional office. They leverage specialized software to create virtual prototypes and run simulations, which helps in testing and improving designs without the need for physical experiments. These engineers collaborate with teams online, and their work is crucial in industries such as aerospace, automotive, energy, and manufacturing. Their remote setup allows companies to tap into a wider talent pool and offers professionals greater flexibility.

What are the key skills and qualifications needed to thrive as a Remote Modeling Simulation Engineer, and why are they important?

To thrive as a Remote Modeling Simulation Engineer, you need a solid background in engineering or computer science, strong mathematical modeling skills, and experience with simulation methodologies. Familiarity with tools like MATLAB, Simulink, Python, and simulation software, along with relevant certifications such as Certified Systems Engineering Professional (CSEP), is often required. Exceptional problem-solving, self-motivation, and clear communication are crucial soft skills, especially when collaborating remotely with diverse teams. These skills ensure accurate model development, effective virtual teamwork, and the delivery of reliable simulation results for complex engineering challenges.
More about Remote Modeling Simulation Engineer jobs
What cities are hiring for Remote Modeling Simulation Engineer jobs? Cities with the most Remote Modeling Simulation Engineer job openings:
What are the most commonly searched types of Modeling Simulation Engineer jobs? The most popular types of Modeling Simulation Engineer jobs are:
What states have the most Remote Modeling Simulation Engineer jobs? States with the most job openings for Remote Modeling Simulation Engineer jobs include:
What job categories do people searching Remote Modeling Simulation Engineer jobs look for? The top searched job categories for Remote Modeling Simulation Engineer jobs are:
Remote Modeling Simulation Engineer jobs near you
Infographic showing various Remote Modeling Simulation Engineer job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, 17% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,399 per year, or $59.3 per hour.
Embodied AI / Simulation Engineer

Embodied AI / Simulation Engineer

Formic

San Francisco, CA • On-site, Remote

Other

Posted 2 days ago

Job description

About the team:

The Software Engineering Team builds and operates the systems that power Formic's Robotics-as-a-Service platform.

Engineering focuses on ensuring deployed systems are observable, resilient, and remotely diagnosable at scale. The team builds production-grade edge and cloud systems that support reliable data collection, remote troubleshooting, live video streaming, and continuous system improvement.

This work directly impacts fleet uptime, service efficiency, and customer outcomes by ensuring Formic's monitoring and control infrastructure remains scalable, reliable, and continuously evolving.

In this role you will:

  • Design and train learning-based manipulation systems for humanoid and mobile manipulation platforms
  • Develop and maintain high-fidelity digital twins using Isaac Sim, MuJoCo, or similar tools
  • Implement and evaluate approaches such as:
    • Action Chunking with Transformers (ACT)
    • Diffusion Policies
    • Behavior Cloning at Scale
    • Vision-Language-Action (VLA) models
    • Latent action or hierarchical skill models
  • Work with modern foundation models for robotics (e.g., Pi0, Gemini ER 1.6 or similar), including adapting, fine-tuning, and deploying them for real-world tasks
  • Contribute to development of a Universal Manipulation Interface (UMI) abstraction layer
  • Build teleoperation-to-training data pipelines
  • Design sim-to-real transfer strategies including domain randomization and system identification
  • Evaluate policy robustness, generalization, and real-world performance
  • Work closely with perception and controls teams to ensure stable closed-loop visuomotor policies
  • Deploy, tune, and iterate on models running on real robotic systems in production environments

What makes you a great fit:

  • Experience training embodied AI policies for real robots
  • Familiarity with transformer-based action models (e.g., ACT)
  • Experience with diffusion policies or other generative control methods
  • Experience working with or adapting large-scale models (e.g., Pi0, Gemini ER 1.6, or similar VLA / multimodal models)
  • Ability to deploy, fine-tune, and optimize models for real-world robotic systems (latency, robustness, reliability)
  • Strong understanding of sim-to-real challenges
  • Experience working with multi-modal inputs (vision, proprioception, language)
  • Proficiency in Python and deep learning frameworks (PyTorch, JAX, etc.)
  • Experience integrating learned policies with real-time control systems
  • Strong experimental design, evaluation, and debugging skills

Apply