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Simulation Engineer Jobs in Seattle, WA (NOW HIRING)

NET. ยท Familiarity with Git, CI/CD pipelines, and DevOps practices is a good to have. ยท Strong debugging, problem-solving, and clean code practices. Roles & Responsibilities: ยท Customization ...

Data Engineer, Global Planning, Amazon Leo

Bellevue, WA ยท On-site

$129K - $155K/yr

... simulation systems You will be responsible to design and implement Data Architecture, using latest AWS services and to develop production level ETL pipelines from external and internal sources / APIs.

Showing results 41-60

Simulation Engineer information

See Seattle, WA salary details

$44.4K

$140.4K

$216.8K

How much do simulation engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for simulation engineer in Seattle, WA is $140,432.00, 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 is a simulation engineer?

A simulation engineer works on complex engineering projects to create simulations for testing the performance of proposed solutions. In this career, your job duties include developing simulation approaches for testing the project, monitoring the simulation in the test environment, and analyzing the results of the test. The qualifications needed for a career as a simulation engineer include a bachelor's degree in engineering. However, some employers prefer a master's degree. You also need strong analytical skills and experience working with experimental projects.

What are the key skills and qualifications needed to thrive as a simulation engineer, and why are they important?

To thrive as a Simulation Engineer, you need a solid background in engineering principles, mathematics, and computer science, typically supported by a relevant degree. Proficiency in simulation software such as MATLAB, Simulink, ANSYS, or similar tools, along with knowledge of programming languages like Python or C++, is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and collaborate with multidisciplinary teams. These skills are crucial for accurately modeling complex systems, optimizing designs, and ensuring project success.

How does a simulation engineer typically collaborate with cross-functional teams during a project?

Simulation Engineers frequently work alongside design, testing, and manufacturing teams to ensure that virtual models accurately reflect real-world scenarios. They collaborate closely during the early stages to interpret project requirements and share simulation results to guide design decisions. Regular meetings and iterative feedback loops are common, helping to integrate simulation insights throughout the product development lifecycle. This collaborative environment not only enhances the quality of final products but also provides Simulation Engineers with exposure to diverse technical perspectives.

What is the difference between Simulation Engineer vs Mechanical Design Engineer?

AspectSimulation EngineerMechanical Design Engineer
Required CredentialsBachelor's or Master's in Mechanical, Aerospace, or related fields; proficiency in simulation softwareBachelor's or Master's in Mechanical Engineering; CAD software skills
Work EnvironmentDesign labs, simulation centers, R&D departmentsDesign offices, manufacturing facilities, prototyping labs
Industry UsageAutomotive, aerospace, electronics, manufacturingAutomotive, consumer products, machinery, aerospace
Common Search/ComparisonSimulation Engineer vs Mechanical Design Engineer

The main difference between a Simulation Engineer and a Mechanical Design Engineer lies in their focus areas. Simulation Engineers specialize in creating and analyzing virtual models to predict product performance, while Mechanical Design Engineers focus on designing and developing physical components and systems. Both roles often collaborate but serve distinct functions within engineering projects.

Are simulation engineers in demand?

Simulation engineers are in demand across industries such as aerospace, automotive, and defense, as companies increasingly rely on simulation tools like MATLAB, Simulink, and ANSYS for product development and testing. The role requires strong technical skills, knowledge of modeling and analysis, and often a background in engineering or computer science. Job growth is driven by technological advancements and the need for cost-effective, efficient testing methods.

What are the most commonly searched types of Simulation Engineer jobs in Seattle, WA?

The most popular types of Simulation Engineer jobs in Seattle, WA are:

What are popular job titles related to Simulation Engineer jobs in Seattle, WA?

For Simulation Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What cities near Seattle, WA are hiring for Simulation Engineer jobs?

Cities near Seattle, WA with the most Simulation Engineer job openings:

Infographic showing various Simulation Engineer job openings in Seattle, WA as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $140,432 per year, or $67.5 per hour.

Software Engineer, Distributed Simulation

Seattle, WA โ€ข On-site

Other

Posted 8 days ago


Job description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

SoftwareIntegrationEnvironment (SIE) is a platform that makes it easy to deploy, manage, and test operational environments - including running simulations with emulated and/or live hardware assets. We operate the critical infrastructure that enables Anduril to rapidly develop, test, and deploy autonomous systems for our warfighters, across cloud and edge-connected environments.

Our platform provisions isolated, reproducible environments for simulation and integration testing at scale. It is used both internally by Anduril engineers and externally by our customers. If you are an experienced engineer who wants to build high-scale infrastructure as a product - not just operate it - and you want that work to directly compress the loop between writing software and delivering capability to the field, this is the job for you.

ABOUT THE ROLE

We are looking for a Software Engineer to work within major systems inside the SIE platform. This is a software engineering role with an infrastructure center of gravity: you will build services orchestrating compute and exposing capabilities to users as part of a coherent platform.

You will work on problems that do not have a settled answer yet, in a product that is growing quickly in both scale and number of users. We expect you to work end-to-end: design, implement, ship, operate, and then talk to the people using it. Senior engineers on this team lead projects, mentor other engineers, and are trusted to make and defend architectural decisions.

WHAT YOU'LL DO
  • Design and build the backend services that provision, orchestrate, and tear down distributed test and simulation environments on Kubernetes
  • Own significant subsystems of the platform end-to-end - from design through rollout, operation, and iteration with users
  • Scale the platform's compute layer as demand grows, including capacity management, performance, and efficient use of expensive resources
  • Improve the interfaces and abstractions through which users describe their environments, so they can express complex test topologies without needing to be Kubernetes experts
  • Build for the range of environments we deploy into, including cloud and on-premise, along with the release and configuration tooling that makes those deployments repeatable
  • Improve reliability and performance of a system whose workloads are heavy and short-lived, including instrumentation, monitoring, and root cause analysis when something breaks
  • Raise the engineering bar through design and code review, technical mentorship, and clear technical writing
  • Work directly with internal engineering teams, business lines, and external customers to understand where the platform falls short, and turn that into shipped improvements
REQUIRED QUALIFICATIONS
  • 3-6 years of professional software engineering experience
  • Computer Science degree or equivalent industry experience
  • Strong production experience in a language such as Go, Rust, C++, Java, or Python
  • Experience building and operating distributed systems or infrastructure platforms in production, including ownership of the operational side (deployment, monitoring, debugging, on-call)
  • Hands-on Kubernetes experience with a deep understanding of its internals and components, such as as controllers, operators, and custom resources
  • Experience with infrastructure as code and modern build and deployment tooling (e.g. Terraform, Helm, CI/CD systems)
  • Demonstrated ability to own an ambiguous, cross-cutting project end-to-end and drive it to production
  • Strong written and verbal communication โ€” you can write a design document that a skeptical reader can evaluate
  • Eligible to obtain and maintain an active U.S. Secret security clearance
PREFERRED QUALIFICATIONS
  • You have a bias for action and taking ownership. You have a track record of fixing a problem when you see one, including problems that are not formally yours.
  • Experience building a platform or developer tooling product with real users - internal or external - and iterating based on their feedback
  • Experience with KubeVirt, qemu, virtualization or hypervisor technologies
  • Experience managing Kubernetes clusters of hundreds of nodes, including capacity management and autoscaling
  • Experience with simulation, modeling, robotics testing, or hardware-in-the-loop systems
  • Experience with cloud infrastructure across more than one provider (AWS, Azure), and with on-premise deployment
  • Experience or interest working in monorepos with modern build systems like Bazel, Buck, Nix, etc.
  • Experience designing and implementing APIs using gRPC/protobuf or similar technologies
  • Knowledge of performance improvement techniques, metrics and alerting
  • Experience with low-level frameworks, Linux and databases
  • Active U.S. Secret security clearance

US Salary Range: $166,000-$220,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.

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