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Entry Level Modeling 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 ...

Starcloud

Power Electronics Engineer

Redmond, WA · On-site

$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 ...

OpenAI

Performance Modeling Engineer

Seattle, WA · On-site

$293K - $385K/yr

Run simulations and analytical models to support architectural tradeoff analysis. * Collaborate ... Strong software engineering or modeling background (e.g., simulation, systems modeling, or ...

OpenAI

Performance Modeling Engineer ~2

Seattle, WA · On-site

$293K - $385K/yr

Run simulations and analytical models to support architecture and infrastructure decisions * Partner with senior engineers to evaluate design tradeoffs across hardware and system components

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All JobsEntry Level Modeling Simulation Engineer JobsEntry Level Modeling Simulation Engineer Jobs in Seattle, WA

Entry Level Modeling Simulation Engineer information

See Seattle, WA salary details

$44.4K

$140.4K

$216.8K

How much do entry level modeling simulation engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for entry level modeling 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 the difference between Entry Level Modeling Simulation Engineer vs Mechanical Design Engineer?

AspectEntry Level Modeling Simulation EngineerMechanical Design Engineer
Required CredentialsBachelor's in Mechanical, Aerospace, or related fields; basic knowledge of simulation softwareBachelor's in Mechanical or Aerospace Engineering; CAD and design software skills
Work EnvironmentResearch labs, engineering teams, simulation software environmentsDesign studios, manufacturing facilities, engineering departments
Employer & Industry UsageAutomotive, aerospace, defense, manufacturing companiesProduct design firms, manufacturing companies, R&D departments

While both roles require a background in mechanical engineering and involve technical skills, the Entry Level Modeling Simulation Engineer focuses on creating and analyzing virtual models using simulation software, whereas the Mechanical Design Engineer emphasizes designing physical components and systems. Both roles are essential in product development but differ in their primary tasks and tools used.

What kinds of projects and collaboration can I expect as an Entry Level Modeling Simulation Engineer?

As an Entry Level Modeling Simulation Engineer, you'll typically work on projects involving the creation, testing, and validation of simulation models for systems or products. You'll collaborate closely with senior engineers, software developers, and sometimes project managers to ensure model accuracy and integration into larger projects. Expect to contribute by running simulations, analyzing data, and preparing reports, while learning industry-standard tools and methodologies. The work environment is often team-oriented, with regular meetings to discuss progress and troubleshoot challenges together.

What is an Entry Level Modeling Simulation Engineer?

An Entry Level Modeling Simulation Engineer is a professional who uses computer models and simulations to analyze, test, and improve systems or products, often in fields like aerospace, automotive, or manufacturing. They typically work with software tools to create virtual representations of real-world processes, enabling companies to predict outcomes and optimize designs before physical prototypes are built. This role is ideal for recent graduates or those new to the industry, providing foundational experience in engineering analysis and problem-solving. Responsibilities may include developing simulation models, validating results, and collaborating with senior engineers and other departments.

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

To thrive as an Entry Level Modeling Simulation Engineer, you need a solid background in mathematics, physics, and computer science, usually supported by a relevant engineering or STEM degree. Familiarity with simulation software (like MATLAB or Simulink), programming languages (such as Python or C++), and version control systems is often required. Strong problem-solving abilities, attention to detail, and effective teamwork help set you apart in this role. These skills ensure accurate model development, effective collaboration, and the ability to solve complex real-world engineering problems.
What are the most commonly searched types of Modeling Simulation Engineer jobs in Seattle, WA? The most popular types of Modeling Simulation Engineer jobs in Seattle, WA are:
What are popular job titles related to Entry Level Modeling Simulation Engineer jobs in Seattle, WA? For Entry Level Modeling Simulation Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Modeling Simulation Engineer jobs in Seattle, WA look for? The top searched job categories for Entry Level Modeling Simulation Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Entry Level Modeling Simulation Engineer jobs? Cities near Seattle, WA with the most Entry Level Modeling Simulation Engineer job openings:
Entry Level Modeling Simulation Engineer jobs near you
Infographic showing various Entry Level Modeling Simulation Engineer job openings in Seattle, WA as of June 2026, with employment types broken down into 4% Internship, 79% Full Time, 6% Part Time, and 11% Contract. Highlights an 94% In-person, and 6% Remote 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

$173K - $244K/yr

Full-time

Medical, Life, PTO

Posted 11 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.

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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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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