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Ros Jobs in Detroit, MI (NOW HIRING)

This role focuses on advancing autonomous navigation, localization, mapping, and system integration using ROS/ROS2, AI-driven perception, and multi-sensor fusion technologies. The ideal candidate ...

Great company. Great people. Great opportunities. If you'd like the chance to make your mark with the world's largest equipment rental provider, come build your future with United Rentals! The Driver ...

Medical Scribe

Dearborn, MI · On-site

$17 - $18/hr

Update Meds/ROS * Print Labs * Type in treatment plan and send medications Medical Scribe skills * Bachelor's degree in healthcare field preferred * Successful completion of Medical Assistant ...

Great company. Great people. Great opportunities. If you'd like the chance to make your mark with the world's largest equipment rental provider, come build your future with United Rentals. The Driver ...

Great company. Great people. Great opportunities. If you'd like the chance to make your mark with the world's largest equipment rental provider, come build your future with United Rentals. The Driver ...

Great company. Great people. Great opportunities. If you'd like the chance to make your mark with the world's largest equipment rental provider, come build your future with United Rentals! The Driver ...

Great company. Great people. Great opportunities. If you'd like the chance to make your mark with the world's largest equipment rental provider, come build your future with United Rentals. The Driver ...

Great company. Great people. Great opportunities. If you'd like the chance to make your mark with the world's largest equipment rental provider, come build your future with United Rentals! The Driver ...

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Showing results 1-20

Ros information

See Detroit, MI salary details

$15

$28

$49

How much do ros jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ros in Detroit, MI is $28.88, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $32.84 per hour, depending on experience, location, and employer.

What is a ros?

A ROS (Robot Operating System) job typically involves developing, programming, and maintaining robotics software using the ROS framework. Professionals in this role work on robotic perception, navigation, and control, often integrating sensors and hardware components. They may also debug software, optimize performance, and contribute to open-source ROS packages. ROS jobs are common in industries like automation, healthcare, and autonomous vehicles, requiring strong skills in C++, Python, and robotics algorithms.

What types of projects or industries typically employ ROS engineers?

ROS Engineers are commonly employed in industries such as autonomous vehicles, industrial automation, drones, medical robotics, and research institutions. Their daily work can involve developing and integrating robotic perception, navigation, and control systems for deployment in real-world applications. Working closely with hardware engineers, software developers, and data scientists is typical, as successful projects often require cross-functional teamwork. As robotics continues to expand into new sectors, ROS Engineers can find diverse career growth opportunities, whether in startups, large tech companies, or innovative research labs.

What are the key skills and qualifications needed to thrive in the ros position, and why are they important?

To thrive as a Robotics Operating System (ROS) Engineer, you need a solid background in computer science, robotics, and proficiency in programming languages such as C++ and Python. Familiarity with ROS middleware, simulation tools (like Gazebo), and Linux-based development environments is typically required, along with a relevant engineering degree. Strong problem-solving, analytical thinking, and collaboration skills help engineers effectively integrate and optimize robotic systems within multidisciplinary teams. These skills are crucial for building reliable, efficient, and scalable robotic solutions in technologically complex environments.

How to become a ROS developer?

To become a ROS (Robot Operating System) developer, you should gain proficiency in programming languages like C++ and Python, and understand robotics concepts. Learning ROS frameworks, practicing with simulation tools such as Gazebo, and working on robotics projects can help build relevant skills. Additionally, obtaining certifications or completing courses in robotics and ROS can enhance your qualifications.
Infographic showing various Ros job openings in Detroit, MI as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $60,066 per year, or $28.9 per hour.

Robotics Engineer - AMR

Optimal Inc.

Warren, MI • On-site

Contractor

Posted 26 days ago


Job description

Robotics Engineer - Autonomous Mobile Robotics (AMR)


Position Summary
We are seeking a highly skilled Robotics Engineer to support the development and deployment of next-generation Autonomous Mobile Robot (AMR) systems. This role focuses on advancing autonomous navigation, localization, mapping, and system integration using ROS/ROS2, AI-driven perception, and multi-sensor fusion technologies.
The ideal candidate will have strong experience in robotic software development, autonomous navigation, SLAM, and ROS integration, with the ability to develop and integrate intelligent robotic systems in industrial environments. A Master's degree in Robotics or a related field is preferred.

Key Responsibilities

  • Design, develop, and deploy software for Autonomous Mobile Robot (AMR) platforms using ROS/ROS2.
  • Develop and enhance SLAM algorithms by implementing inertial odometry fusion techniques to improve localization accuracy, efficiency, and robustness in challenging industrial environments.
  • Design and implement multi-map fusion methods to integrate data from multiple sensor modalities into a unified mapping framework for enhanced localization, navigation, and path planning.
  • Develop and integrate AI-based perception and navigation algorithms for autonomous robotic systems.
  • Integrate robotic software with LiDAR, cameras, IMUs, wheel encoders, and other sensing technologies.
  • Develop benchmarking and system integration tools to evaluate internal robotic platforms and commercial off-the-shelf solutions, enabling data-driven system architecture and performance analysis.
  • Integrate ROS with industrial automation systems, including PLC-controlled and standalone robotic environments.
  • Develop, test, validate, and optimize robotic software for real-world industrial deployment.
  • Troubleshoot hardware, software, and communication issues across robotic systems.
  • Collaborate with cross-functional engineering teams to deliver scalable and reliable autonomous robotic solutions.

Required Qualifications

  • Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Strong experience developing software using ROS/ROS2.
  • Experience with Autonomous Mobile Robots (AMRs) or mobile robotic platforms.
  • Strong understanding of SLAM, localization, sensor fusion, mapping, and autonomous navigation.
  • Experience integrating AI/ML algorithms into robotic perception or navigation systems.
  • Experience integrating LiDAR, cameras, IMUs, and other robotic sensors.
  • Experience with industrial automation and PLC integration is a plus.
  • Proficiency in C++ and Python.
  • Strong debugging, testing, and system integration skills.

Preferred Qualifications

  • Experience with navigation frameworks such as Nav2 and localization packages including AMCL.
  • Experience with motion planning, path planning, obstacle avoidance, and autonomous navigation.
  • Experience with sensor fusion frameworks (Kalman Filter, Extended Kalman Filter, factor graph optimization, or similar).
  • Experience with Gazebo, Isaac Sim, or other robotics simulation environments.
  • Experience deploying robotics solutions in manufacturing, warehouse automation, or industrial environments.