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Contract Robotic Simulation Engineer Jobs in Seattle, WA

Team Red Dog

AI Robotics Engineer

Redmond, WA · On-site

ROS2 (2+ years) - Integrate robotic perception and control systems with simulation environments and ... W2 contract opportunity through 1/7/2028 subject to performance, budget and client discretion. Rate ...

Team Red Dog

AI Robotics Engineer

Redmond, WA · On-site

ROS2 (2+ years) - Integrate robotic perception and control systems with simulation environments and ... W2 contract opportunity through 1/7/2028 subject to performance, budget and client discretion. Rate ...

Team Red Dog

AI Robotics Engineer

Redmond, WA · On-site

ROS2 (2+ years) - Integrate robotic perception and control systems with simulation environments and ... W2 contract opportunity through 1/7/2028 subject to performance, budget and client discretion. Rate ...

General Robotics

Robotics Engineer

Redmond, WA · On-site

$155K - $205K/yr

... robotic arms. We are seeking Robotics Engineersto join our team to integrate our technology onto ... Work closely with AI and Simulation Engineers to transition new techniques to the field ...

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All JobsContract Robotic Simulation Engineer JobsContract Robotic Simulation Engineer Jobs in Seattle, WA

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 15, 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:

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For Contract Robotic Simulation Engineer jobs in Seattle, WA, the most frequently searched job titles are:

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

Contract Robotic Simulation Engineer jobs near you

Senior Software Engineer - Simulation

AIM Intelligent Machines

Seattle, WA • On-site

Other

Posted 10 days ago

Job description

About AIM

Everything humanity depends on is mined, dug, or grown. At AIM, we are building the autonomous linchpin of civilization. We transform heavy machinery—bulldozers, loaders, excavators—into AI-powered fleets that operate continuously, safely, and at peak performance in the world’s harshest environments.

AIM runs production mines, large scale infrastructure builds, and defense operations as a TRL9 hardened system, not a science experiment.

Built by engineers from mining, construction, Waymo, SpaceX, Google and Tesla, AIM enables scalable earthmoving, turbocharging the global economy’s physical foundation. AIM is backed by some of the most sophisticated capital in the world, including General Catalyst, Khosla Ventures, Elad Gil, Human Capital, Ironspring Ventures, Mantis, DCVC.

About the Role - Advanced simulation is a critical pillar at AIM, allowing us to move quickly and safely while developing cutting edge control, planning, and safety components. This role requires proven experience with physics and interactive vehicle dynamics, preferably in a high-scale setting.

Responsibilities

  • As a Senior Robotic Simulation Engineer at AIM you will be expanding the boundaries of what’s possible in advanced, earth-moving robotics by designing and building simulation software for cutting edge autonomy and enabling AI and Robotics engineers to iterate quickly by providing fast, realistic simulation in dynamic and modifiable terrain.

  • Collaborating with cross-functional teams, including software, hardware, and systems engineers

  • Working with AI, firmware, and systems engineers to spec and build AIM’s next generation simulation software

  • Simulating vehicle dynamics and behavior in modifiable terrain

  • Supporting Hardware-in-the-loop (HIL) testing for firmware through the use of hardware integration interfaces

  • Building out a reliable, hosted simulation system with the optionality to allow super fast or highly accurate testing of AIM’s autonomous systems

Qualifications

  • Highly Proficient in C++ programming

  • Experience using or integrating with a high-level language (e.g. Python or Node)

  • Experience with a major simulation platform (e.g. Nvidia Omniverse, Unreal, Unity)

  • Knowledge working with physics engines (e.g. Genesis, Algoryx, ProjectChrono, MuJoCo)

  • Experience with communication protocols for integration and control (e.g. GRPC, TCP/UDP Sockets)

  • Familiarity with sensor representation and simulation

  • Understanding and application of simulation to real-world scenarios

  • Proficiency in a modern version control system like git

  • B.S. or higher degree in Computer Science, Engineering, Mathematics, Physics, or equivalent experience

Preferred Skills

  • Familiarity with real-time computation constraints and GPU accelerated physics. (e.g. CUDA, OpenGL)

  • Familiarity with soil simulation or analysis

  • Understanding of numerical computing techniques e.g. finite element method (FEM), Smoothed-particle hydrodynamics (SPH), Discrete element method (DEM)

  • Machine learning and/or Robotics experience

  • Knowledge of AI planning, constraint satisfaction, and linear/mixed-integer programming

  • Distributed systems or services design experience

  • Experience with 3D model creation

  • Animation and rigging skills

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