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Intern Robotic Simulation Engineer Jobs in Bothell, WA

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 JobsIntern Robotic Simulation Engineer JobsIntern Robotic Simulation Engineer Jobs in Bothell, WA

Intern Robotic Simulation Engineer information

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$12

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$33

How much do intern robotic simulation engineer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for intern robotic simulation engineer in Bothell, WA is $21.59, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $23.37 per hour, depending on experience, location, and employer.

What is the difference between Intern Robotic Simulation Engineer vs Intern Robotics Software Developer?

AspectIntern Robotic Simulation EngineerIntern Robotics Software Developer
Required CredentialsRelevant coursework in robotics, programming, or engineering; basic knowledge of simulation toolsComputer science or software engineering background; programming skills in C++, Python
Work EnvironmentRobotics labs, simulation platforms, research projectsSoftware development teams, coding environments, testing platforms
Industry UsageRobotics companies, research institutions, automation firmsTech companies, startups, research labs

Both roles involve programming and technical skills, but the Intern Robotic Simulation Engineer focuses on creating and testing robotic simulations, while the Intern Robotics Software Developer emphasizes developing software applications for robotics. The choice depends on whether you prefer working with simulation tools or software coding in robotics projects.

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Intern Robotic Simulation Engineer jobs near you

Humanoid Robotic Engineer

Hyphen Connect Limited

Seattle, WA • On-site

Full-time

Posted 29 days ago

Job description

We are searching for a Humanoid Robotic Engineer specialized in bipedal locomotion and manipulation. This role involves designing and implementing sophisticated control algorithms, with a focus on Reinforcement Learning, to enhance the performance of robotic systems both in simulation and real-world applications.
Responsibilities:
  • Develop and implement advanced control algorithms for bipedal locomotion and manipulation.
  • Train Reinforcement Learning (RL) policies in simulation and deploy them on physical hardware.
  • Conduct sim-to-real transfer and analyze gait/kinematics telemetry.

Required Skills:
  • Strong background in Model Predictive Control (MPC) and Whole-Body Control.
  • Extensive experience with robotic simulation environments (e.g., NVIDIA Isaac Sim, MuJoCo).
  • Familiarity with modern RL frameworks.

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