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Entry Level Simulation Software Engineer Jobs in Seattle, WA

Team Red Dog

Scientific Software Engineer

Redmond, WA · On-site

You'll apply modern software engineering practices to scientific computing, machine learning, and simulation-based workflows while working with cutting-edge AI and LLM technologies. This position ...

SpaceX

Software Engineer, Starlink Network

Redmond, WA · On-site

$145K - $175K/yr

Knowledgeable in real-time rendering, game engine development, physics simulation, or other real ... Software Engineer/Level I: $125,000.00 - $145,000.00/per year Software Engineer/Level II: $145,000 ...

Aquent

Software Development Engineer 1

Redmond, WA · On-site +1

$39 - $44/hr

Engaging in simulation-related work, leveraging simulation experience to drive innovation ... Strong software engineering skills, including proficiency in coding and development. * Basic ...

SpaceX

Software Engineer, C++ (Starlink)

Redmond, WA

$145K - $175K/yr

Knowledgeable in real-time rendering, game engine development, physics simulation, or other real ... Software Engineer/Level I: $125,000.00 - $145,000.00/per year Software Engineer/Level II: $145,000 ...

SpaceX

Software Engineer, Starlink Network

Redmond, WA · On-site

$145K - $175K/yr

Knowledgeable in real-time rendering, game engine development, physics simulation, or other real ... Software Engineer/Level I: $125,000.00 - $145,000.00/per year Software Engineer/Level II: $145,000 ...

SpaceX

Software Engineer, Starlink Network

Redmond, WA · On-site

$145K - $175K/yr

Knowledgeable in real-time rendering, game engine development, physics simulation, or other real ... Software Engineer/Level I: $125,000.00 - $145,000.00/per year Software Engineer/Level II: $145,000 ...

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Entry Level Simulation Software Engineer information

See Seattle, WA salary details

$27.3K

$119.3K

$215.1K

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

As of Jul 13, 2026, the average yearly pay for entry level simulation software engineer in Seattle, WA is $119,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $136,600.00 per year, depending on experience, location, and employer.

What does an Entry Level Simulation Software Engineer do?

An Entry Level Simulation Software Engineer develops and tests software that models real-world systems, such as physical processes, engineering designs, or virtual environments. They typically work under the guidance of senior engineers to write code, run simulations, analyze results, and troubleshoot issues. Their work helps organizations predict system behavior, optimize designs, and reduce the need for costly physical prototypes. This role often involves programming, understanding mathematical models, and collaborating with other engineering teams.

What are some common challenges faced by entry level simulation software engineers, and how can they be overcome?

Entry level simulation software engineers often encounter challenges such as understanding complex simulation models, learning industry-specific tools, and collaborating with multidisciplinary teams. To overcome these hurdles, it's helpful to actively seek mentorship from senior engineers, participate in team meetings to gain context, and dedicate time to hands-on practice with simulation tools. Regular communication with team members and taking advantage of available documentation can also accelerate learning and integration into the workflow.

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

To thrive as an Entry Level Simulation Software Engineer, you need a solid background in computer science, mathematics, and programming languages such as C++, Python, or Java, typically supported by a relevant degree. Familiarity with simulation frameworks, modeling tools (like MATLAB or Simulink), and version control systems (such as Git) is often required. Strong problem-solving skills, attention to detail, and effective teamwork are essential soft skills for this role. These abilities enable engineers to develop accurate, efficient simulations and collaborate effectively in multidisciplinary teams, ensuring successful project outcomes.
What are the most commonly searched types of Simulation Software Engineer jobs in Seattle, WA? The most popular types of Simulation Software Engineer jobs in Seattle, WA are:
What are popular job titles related to Entry Level Simulation Software Engineer jobs in Seattle, WA? For Entry Level Simulation Software Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Simulation Software Engineer jobs in Seattle, WA look for? The top searched job categories for Entry Level Simulation Software Engineer jobs in Seattle, WA are:
Entry Level Simulation Software Engineer jobs near you
Infographic showing various Entry Level Simulation Software Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 25% Internship, 62% Full Time, and 13% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $119,337 per year, or $57.4 per hour.

Machine Learning Engineer - Simulation Framework

Zoox

Seattle, WA • On-site

$151K - $257K/yr

Full-time

Medical, Life, PTO

Posted 20 days ago

Job description

Simulation is essential for Zoox to rapidly iterate on our driving software and hardware, and to validate our safety before we drive in the real world. We create virtual worlds to challenge our robots, from real-world data, entirely novel scenarios, or a combination of both. Our simulations need to run at a huge scale to cover everything that might happen, and to help prove our driving to be safe.
As a Machine Learning Engineer on the Simulation Core Team, you will focus on the intersection of machine learning and synthetic environments within our high-speed, GPU-based simulation framework. Our success depends on you driving ML efficiency while solving complex "sim-to-sim" and "sim-to-real" fidelity gaps, ensuring our safety-critical models train on data that perfectly aligns with physical vehicle behavior.
In this role, you will:
  • Develop and optimize our GPU-based simulation framework to support complex machine learning training and validation pipelines.
  • Apply reinforcement learning concepts to solve complex behavioral and path planning challenges in simulation environments.
  • Identify and resolve "sim-to-sim" and "sim-to-real" fidelity gaps to ensure parity between high-speed ML simulations, high-fidelity 3D environments, and physical vehicle execution.
  • Build systems that allow autonomy users to self-serve data generation and accelerate their training iterations.
  • Write robust, production-ready code to integrate advanced ML algorithms directly into our core simulation architecture.

Qualifications:
  • PhD or Master's in computer science, robotics, machine learning, or a related field.
  • Deep understanding of reinforcement learning and its application in simulated or robotic environments.
  • Hands-on experience developing, training, and fine-tuning deep learning models using modern frameworks (e.g., JAX or PyTorch).
  • Strong proficiency in C++ and Python for building and deploying production machine learning systems.
  • Experience analyzing and bridging fidelity gaps between synthetic training data and real-world execution.

Bonus Qualifications:
  • Experience with GPU programming (CUDA) or high-performance compute clusters.
  • Automotive or autonomous robotics industry experience.
  • Strong background in deterministic systems and latency optimization.

$151,000 - $257,000 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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