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Contract Robotic Simulation Engineer Jobs in Seattle, WA

In this role, you will remotely operate and supervise robotic systems through advanced control ... Provide feedback on robot performance and usability * Assist engineering teams in identifying ...

Principal Platform Software Engineer

Seattle, WA · On-site

$153K - $206K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with robot simulation environments such as NVIDIA Isaac Sim , Gazebo, or Webots ... Experience designing service contracts, APIs, SDKs, adapter frameworks, or developer platforms for ...

Senior Platform Software Engineer

Seattle, WA · On-site

$139K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with robot simulation environments such as NVIDIA Isaac Sim , Gazebo, or Webots ... Experience designing service contracts, APIs, SDKs, adapter frameworks, or developer platforms for ...

In this role, you will remotely operate and supervise robotic systems through advanced control ... Provide feedback on robot performance and usability * Assist engineering teams in identifying ...

Senior Platform Software Engineer

Seattle, WA · On-site

$139K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with robot simulation environments such as NVIDIA Isaac Sim , Gazebo, or Webots ... Experience designing service contracts, APIs, SDKs, adapter frameworks, or developer platforms for ...

Lead Principal Platform Software Engineer

Seattle, WA · On-site

$153K - $206K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with robot simulation environments such as NVIDIA Isaac Sim , Gazebo, or Webots ... Experience designing service contracts, APIs, SDKs, adapter frameworks, or developer platforms for ...

Robotic Controls Researcher

Redmond, WA · On-site

$122K - $181K/yr

The chosen candidate will work with a highly interdisciplinary team of researchers, engineers, and ... robotics platforms • Development of model predictive control approaches mapping robot ...

The chosen candidate will work with a highly interdisciplinary team of researchers, engineers, and designers, and will have access to advanced technology, resources, and testing facilities. Robotic ...

Showing results 21-40

Contract Robotic Simulation Engineer information

See Seattle, WA salary details

$33K

$120.2K

$192.3K

How much do contract robotic simulation engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for contract robotic simulation engineer in Seattle, WA is $120,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $144,500.00 per year, depending on experience, location, and employer.

What does a contract robotic simulation engineer do?

A Contract Robotic Simulation Engineer is responsible for designing, developing, and testing robotic systems using simulation software, typically on a temporary or project-based contract. They create virtual environments to model robot behavior, optimize workflows, and identify potential issues before physical implementation. This role often involves collaborating with engineers, programmers, and clients to ensure that robotic solutions meet project specifications. Contract engineers may work across various industries, such as manufacturing, automotive, or logistics, providing specialized expertise for specific projects. Their work helps reduce costs, improve efficiency, and minimize risks in robotic system deployment.

What are some common challenges faced by contract robotic simulation engineers when working with diverse client requirements?

Contract Robotic Simulation Engineers often need to adapt quickly to different simulation platforms, robot models, and client-specific workflows. Each client may have unique expectations, software environments, and integration needs, requiring strong problem-solving skills and flexibility. Balancing multiple projects, ensuring accurate simulation results, and communicating technical findings effectively with both technical and non-technical stakeholders are key challenges in this role. Collaborating closely with client teams and staying updated with the latest simulation tools can help overcome these obstacles and deliver successful project outcomes.

What are the key skills and qualifications needed to thrive as a contract robotic simulation engineer?

To thrive as a Contract Robotic Simulation Engineer, you need a solid background in robotics, mechanical or electrical engineering, and experience with simulation modeling, often supported by a relevant engineering degree. Proficiency with tools like ROS (Robot Operating System), MATLAB/Simulink, and simulation platforms such as Gazebo or V-REP, as well as familiarity with programming languages like Python or C++, is typically required. Strong problem-solving skills, adaptability, and effective communication make someone stand out in this role, especially when collaborating with cross-functional teams or clients. These competencies are crucial for developing accurate robotic simulations, ensuring system reliability, and meeting project goals efficiently in a contract-based environment.

What is the difference between Contract Robotic Simulation Engineer vs Contract Automation Test Engineer?

AspectContract Robotic Simulation EngineerContract Automation Test Engineer
CredentialsEngineering degree, robotics or simulation certificationsEngineering or computer science degree, testing certifications
Work EnvironmentRobotics labs, simulation platforms, development teamsSoftware testing environments, QA teams, development labs
Industry UsageRobotics, manufacturing, researchSoftware development, quality assurance, tech companies

The Contract Robotic Simulation Engineer focuses on developing and testing robotic systems within simulation environments, often working closely with hardware and control algorithms. In contrast, the Contract Automation Test Engineer primarily designs and executes automated tests for software applications. While both roles require technical expertise and testing skills, the Robotic Simulation Engineer emphasizes robotics and simulation tools, whereas the Automation Test Engineer concentrates on software testing automation.

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

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

What job categories do people searching Contract Robotic Simulation Engineer jobs in Seattle, WA look for?

The top searched job categories for Contract Robotic Simulation Engineer jobs in Seattle, WA are:

Machine Learning Engineer - Simulation Framework

Zoox

Seattle, WA • On-site

$151K - $257K/yr

Full-time

Medical, Life, PTO

Re-posted 23 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.