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Modeling And Simulation Engineer Jobs in Seattle, WA

Starcloud

Power Electronics Engineer

Redmond, WA

$115K - $150K/yr

As a Power Electronics Engineer at Starcloud, you will play a critical role in designing and ... Perform advanced modeling, simulation, and testing of power electronics to validate and refine ...

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Modeling And Simulation Engineer information

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$44.4K

$140.4K

$216.8K

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

As of Jun 11, 2026, the average yearly pay for modeling and simulation engineer in Seattle, WA is $140,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $166,700.00 per year, depending on experience, location, and employer.

What are Modeling and Simulation Engineers?

Modeling and Simulation Engineers are professionals who use mathematical models and computer simulations to analyze complex systems and predict their behavior. They work in various industries, including aerospace, defense, healthcare, and manufacturing, to improve product design, optimize processes, and support decision-making. Their work often involves creating virtual prototypes, running simulations to test different scenarios, and interpreting results to provide insights for engineering projects. These engineers typically have strong backgrounds in mathematics, physics, and computer science.

What engineers make $300,000 a year?

Senior Modeling and Simulation Engineers with extensive experience, advanced skills in programming, and often working in aerospace, defense, or high-tech industries can earn $300,000 or more annually. These roles typically require advanced degrees, specialized certifications, and leadership responsibilities, often involving complex systems modeling and simulation tools.

What are some common challenges a Modeling and Simulation Engineer faces when integrating new models into existing systems?

A common challenge for Modeling and Simulation Engineers is ensuring that new models are compatible with existing simulation frameworks and data sources. This often involves resolving discrepancies in data formats, model fidelity, and simulation timing, as well as validating that the integrated system produces accurate and reliable results. Collaboration with software developers, data analysts, and subject matter experts is essential to troubleshoot integration issues and maintain system performance. Effective communication and thorough documentation are key to overcoming these integration hurdles.

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

To thrive as a Modeling and Simulation Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency with simulation software (such as MATLAB, Simulink, or ANSYS), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex systems into accurate models and collaborating with multidisciplinary teams. These skills are crucial for ensuring the accuracy, reliability, and usability of simulations that inform critical engineering decisions.

Is ml engineer a high paying job?

Machine Learning (ML) engineers typically earn high salaries due to their specialized skills in algorithms, data modeling, and programming languages like Python and TensorFlow. Salaries vary by experience, location, and industry, but they are generally above average compared to many other tech roles.

What is the difference between Modeling And Simulation Engineer vs Systems Engineer?

AspectModeling And Simulation EngineerSystems Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; certifications like INCOSEBachelor's or Master's in Engineering, Systems Engineering, or related fields; certifications like INCOSE
Work EnvironmentDesigning and developing simulation models, testing scenarios in labs or software environmentsIntegrating system components, coordinating across engineering teams, often in project offices
Industry UsageDefense, aerospace, automotive, and manufacturing sectorsDefense, aerospace, IT, and complex system development industries

While both roles require engineering backgrounds and similar certifications, Modeling And Simulation Engineers focus on creating and testing simulation models, whereas Systems Engineers oversee the integration and functionality of entire systems. Both collaborate closely but serve different specialized functions within engineering projects.

What does a modelling and simulation engineer do?

A modeling and simulation engineer develops digital models and simulations to analyze and predict the behavior of systems or processes. They use specialized software, such as MATLAB or Simulink, and often work in engineering, aerospace, defense, or manufacturing environments to support design, testing, and decision-making.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in technology and energy sectors.
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Modeling And Simulation Engineer jobs near you
Infographic showing various Modeling And Simulation Engineer job openings in Seattle, WA as of June 2026, with employment types broken down into 4% Internship, 84% Full Time, 4% Part Time, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $140,438 per year, or $67.5 per hour.
Member of Technical Staff, Microsoft Robotics (Robotics Simulation)

Member of Technical Staff, Microsoft Robotics (Robotics Simulation)

Microsoft

Redmond, WA • On-site

Full-time

Posted 13 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

48th of 188 rated software companies

Job description

Overview
Microsoft's Discovery and Quantum (MDQ) division develops and delivers advanced artificial intelligence (AI), cloud-enabled capabilities, and strategic technologies to help solve the world's major challenges. From accelerating scientific discovery with advanced AI tools, to pioneering breakthroughs in quantum computing, to advancing robotics and AI capabilities that drive real-world impact, joining MDQ means building the future, partnering with fast-moving innovators, and operating in a high-impact, mission-driven environment.
At Microsoft Robotics within MDQ, we build and deploy technologies that enable people, robots, and AI agents to collaborate and achieve more.
We are building Microsoft's platform for physical intelligence-an integrated robotics software and AI platform that brings together humans, robots, and agents through robotics AI models, innovative teaming solutions and experiences, physically grounded agentic AI workflows, trustworthy test and evaluation, and real-world customer-focused validation. Built on Microsoft's core platforms and delivered through and with a global ecosystem of partners and customers, this platform accelerates AI for the physical world and helps robotics solutions move from experimentation to reliable, scaled deployment.
We are hiring a Member of Technical Staff, Microsoft Robotics (Robotics Simulation) at the Senior level, to lead the development of physics-ready 3D asset generation pipelines and integration of reality capture technologies into Microsoft's robotics simulation infrastructure. This role focuses on bridging the physical and simulated worlds by creating high-fidelity digital representations of real-world environments, objects, and robots. The engineer will build workflows that transform raw sensor data (photogrammetry, LiDAR scans, depth maps) into simulation-ready 3D assets with accurate geometry, material properties, and physics parameters, enabling photorealistic synthetic data generation, digital twin construction, and sim-to-real model validation.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
#MicrosoftRobotics #MDQ
Responsibilities
  • Design and build automated pipelines for converting reality capture data (photogrammetry, LiDAR point clouds, depth camera scans, 360-degree imagery) into physics-ready 3D simulation assets with accurate geometry, collision meshes, material properties, and articulation definitions.
  • Develop and maintain toolchains for physics-ready 3D asset generation, including mesh optimization, UV unwrapping, PBR material assignment, collision hull generation, mass/inertia parameter estimation, and annotation of semantic and functional properties.
  • Integrate reality capture hardware and software workflows (e.g., NeRF, Gaussian splatting, structured light scanning, photogrammetry reconstruction) with the simulation platform's asset ingestion pipeline.
  • Build 3D reconstruction workflows that enable rapid creation of simulation environments from real-world facility scans, supporting robotics deployment planning, testing, and validation.
  • Create and maintain asset toolchains supporting industry-standard formats (USD/OpenUSD, glTF, FBX, OBJ) with appropriate physics and simulation metadata for import into robotics simulation engines.
  • Develop synthetic data generation pipelines that leverage high-fidelity 3D assets to produce training data for perception, manipulation, and navigation models, including domain-randomized variations of materials, lighting, object placement, and camera viewpoints.
  • Collaborate with robotics engineers, ML researchers, and perception scientists to define asset fidelity requirements, validate simulation-to-reality visual and physical accuracy, and iterate on asset quality based on downstream model performance.
  • Implement quality assurance and validation workflows for 3D assets, including automated checks for mesh integrity, physics parameter consistency, rendering fidelity, and simulation stability.
  • Review code and technical designs to ensure adherence to team standards for 3D pipeline performance, asset management, and data integrity.
  • Remain current in 3D reconstruction, neural rendering, and asset generation research, proactively evaluating new techniques (e.g., generative 3D models, neural radiance fields, 3D Gaussian splatting) for integration into the platform.

Qualifications
Required Qualifications:
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

Other Requirements:
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings
    • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:
  • Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • Experience with 3D reconstruction pipelines, photogrammetry, LiDAR processing, or neural scene representation methods (NeRF, 3D Gaussian splatting).
  • Proficiency with 3D content creation and processing tools (Blender, Fusion, Maya, Houdini, MeshLab, Open3D, or equivalent).
  • Experience with USD/OpenUSD, OBJ, STL, or equivalent 3D interchange formats and their integration with simulation or rendering engines.
  • Background in physically based rendering (PBR), material authoring, or real-time graphics pipeline development.
  • Experience building synthetic data generation pipelines for training computer vision or perception models.
  • Familiarity with robotics simulation platforms (Isaac Sim, Gazebo, MuJoCo, or equivalent) and their asset requirements.
  • Understanding of physics parameter estimation, collision geometry optimization, and articulated object modeling for simulation fidelity.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800.00 - $234,700.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200.00 - $261,000.00 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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