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Simulation Engineer Jobs in Seattle, WA (NOW HIRING)

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Simulation Engineer information

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$44.4K

$140.4K

$216.8K

How much do simulation engineer jobs pay per year?

As of Jun 9, 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.

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 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.

What are Simulation Engineers?

Simulation Engineers are professionals who design, develop, and implement virtual models to mimic real-world processes, systems, or products. They use specialized software to analyze how these systems behave under various conditions, helping organizations optimize performance, identify potential issues, and reduce costs. Simulation Engineers often work in industries like automotive, aerospace, manufacturing, and healthcare to support decision-making and innovation through virtual testing. Their work is crucial for minimizing the risks and expenses associated with physical prototyping and experimentation.

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 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.

More about Simulation Engineer jobs
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 job categories do people searching Simulation Engineer jobs in Seattle, WA look for? The top searched job categories for Simulation Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Simulation Engineer jobs? Cities near Seattle, WA with the most Simulation Engineer job openings:
Simulation Engineer jobs near you
Infographic showing various Simulation Engineer job openings in Seattle, WA as of May 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $140,432 per year, or $67.5 per hour.

Machine Learning Engineer - 3D Sensor Simulation

Zoox

Seattle, WA • On-site

$173K - $244K/yr

Full-time

Medical, Life, PTO

Posted 29 days ago

Job description

The 3D Simulation group at Zoox is looking for 3D Machine Learning engineers to simulate sensors (cameras, lidar, radar), combining GenAI/ML and modern 3D graphics techniques to close the gap between simulation and reality. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. Collaborate with Sensor Sim, Perception, and V&V teams to evaluate and iteratively improve the fidelity of sensor simulation. The 3D Sensor Simulation team's work is at the core of creating high fidelity synthetic data for training and testing AV AI, as well as real time sensor data for hardware-in-the-loop simulation.
In this role, you will:
  • Research, implement, and optimize state of the art 3D rendering of sensor data, leveraging GenAI/ML and 3D graphics.
  • Develop realism metrics with V&V to show measurable impact of your improved sensor fidelity.
  • Collaborate with Perception and Safety teams to improve realism of sensor simulation for high fidelity synthetic data.
  • Improve rendering and ML inference tooling for generating realistic data at scale.

Qualifications
  • 2+ years of industry experience, and/or PhD, developing neural rendering techniques like Gaussian Splatting, NeRFs, or 3D reconstruction
  • 2+ years of experience developing software with Python and/or modern C++
  • Expertise with machine learning frameworks PyTorch or Tensorflow
  • Familiarity with 3D graphics algorithms, such as 3D geometry and camera models
  • Strong mathematical skills and understanding of 3D linear algebra and probabilistic techniques

Bonus Qualifications
  • Master's or PhD in computer science, mathematics, physics, or related field
  • Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender.
  • Experience in 3D rendering for simulation, games, cloud computing, or VFX

$173,000 - $244,000 a year
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Follow us on LinkedIn
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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