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Entry Level Modeling Simulation Engineer Jobs in Seattle, WA

Starcloud

Power Electronics Engineer

Redmond, WA · On-site

$120K - $175K/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 JobsModeling Simulation Engineer 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 Aug 21, 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 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?

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 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 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 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:

Entry Level Modeling Simulation Engineer jobs near you
Infographic showing various Entry Level Modeling Simulation Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 4% Internship, 68% Full Time, 4% Part Time, 4% Temporary, and 20% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $140,432 per year, or $67.5 per hour.

Machine Learning Engineer, Agent Simulation

jobs.frontdoordefense.com - Jobboard

Seattle, WA • On-site

$134 - $222/hr

Other

Medical, Life, PTO

Posted 15 days ago

Job description

Machine Learning Engineer, Agent Simulation

Location: Seattle

Compensation: $134,000 - $222,000 USD / year

About The Role

Develop innovative agent behaviors to enhance autonomous mobility solutions in urban transportation.

In this role, you will:
  • Research, implement, and optimize state-of-the-art machine learning approaches to improve plausible agent behaviors
  • Find innovative solutions for agent behaviors and simulation analysis
  • Prove machine‑learned algorithms have better performance than heuristics
  • Leverage our large‑scale machine‑learning infrastructure to discover new solutions
  • Analyze the difference between behaviors in simulation and real-world
  • Work cross‑functionally with our safety and autonomy engineers
  • Build scalable, usable cloud pipelines for machine learning solutions for simulation
Qualifications
  • BS, MS, or PhD degree in Computer Science or a related field
  • Experience with training and deploying deep learning models
  • Experience with production machine‑learning pipelines: dataset creation, training frameworks, metrics pipelines
  • Fluency in Python and a basic understanding of C++
  • Fluency with NumPy, PyTorch, TensorFlow or JAX
  • Strong mathematics skills
Bonus Qualifications
  • Experience with LLMs, reinforcement learning, imitation learning
  • Conference or journal publications in machine learning or robotics
  • Prior experience with agent behaviors, prediction, autonomous vehicles or robotics
Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $134,000 to $222,000. A sign‑on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.

Benefits include paid time off (sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long‑term care insurance, disability insurance, and life insurance.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

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