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ROS Engineer

MūL Technologies

Rush, County Dublin, Ireland · À temps plein

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Ouvertures
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il y a 10 heures
Work mode
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Éducation
Bachelor's degree
Eligibility
Candidates with a bachelor’s degree or higher in Robotics, Computer Science, Electrical Engineering, or a related discipline, along with experience in ROS 1/ROS 2 and autonomous mobile robots, are suitable for this role. The role is based onsite in Mequon, WI, with some travel to customer sites.
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Where you'll work

Description de l'emploi

Role overview

MūL Technologies is looking for a hands-on ROS Engineer to work on autonomous mobile robots and help build, test, and launch advanced robotics solutions. The role is centered on ROS 1 and ROS 2 development, with practical work across software, sensors, navigation, perception, and control. This is a full-time, facility-based position in Mequon, WI, and it includes some travel to customer locations.

What you'll do

  • Build and refine software modules for autonomous mobile robots using ROS 1 and ROS 2.
  • Connect and integrate sensors, LiDAR, depth cameras, and other hardware into ROS-driven systems.
  • Develop navigation, perception, and control logic for mobile robotic platforms.
  • Run detailed testing to verify software reliability and performance.
  • Investigate and fix issues across robotics software and hardware interfaces.
  • Tune system behavior so robotic applications perform efficiently and in real time.
  • Keep current with new developments in ROS and autonomous robotics.
  • Suggest and implement new ideas to improve robot capability and performance.
  • Contribute to research efforts, including publications and patents where relevant.

What we're looking for

  • A bachelor’s degree or higher in Robotics, Computer Science, Electrical Engineering, or a closely related discipline.
  • Practical experience using both ROS 1 and ROS 2 in either professional or academic settings.
  • Hands-on exposure to autonomous mobile robots, especially in navigation, perception, and control.
  • Familiarity with robotics simulation tools such as Gazebo, RViz, and similar environments.
  • Strong programming ability in C++, Python, and related languages.
  • Good understanding of robotic systems, kinematics, and sensor integration.
  • Experience with SLAM and path-planning methods.
  • Working knowledge of Docker and GitHub.
  • Strong analytical thinking, problem-solving ability, communication skills, and teamwork.
  • Comfort working in a fast-moving, dynamic environment.
  • Preferred: exposure to machine learning and computer vision in robotics.
  • Preferred: experience working in an agile development setting.

Benefits

  • Competitive compensation and benefits package.
  • Opportunity to contribute to innovative, high-impact projects.
  • Scope for professional growth and development.
  • Collaborative and inclusive team culture.

About MūL Technologies

MūL Technologies manufactures MARC (Mobile Autonomous Robotic Cart), a self-guided AMR designed to combine the strengths of AMRs and AGVs. The product is built to be simple to use, fully autonomous, and self-contained, with no need for Wi‑Fi or other external connectivity. The company emphasizes rapid deployment, cost-effective robotics, and practical solutions for businesses. Its leadership team brings together extensive experience across programming, engineering, manufacturing, logistics, and sales, and the business is supported by GMI Solutions, a Midwest-based contract manufacturer founded in 1983.

Additional information

The company describes MARC as a highly cost-effective autonomous material handling solution and positions its products as an affordable option for businesses seeking the benefits of robotics. The role reports to the CTO. Interested candidates were asked to share a resume, cover letter, and any relevant project portfolio or publications for review on a rolling basis until the position is filled. Contact details provided in the source included a phone number and email address for direct outreach.

Application details

Applicants were invited to submit their information, resume, supporting documents, and a short message of interest. The source also included fields for first name, last name, job interest, and uploads for resumes and supporting documentation.

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