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Remote Robotics Engineer Jobs in Detroit, MI (NOW HIRING)

Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering) * Basic ...

Engineering & Science Job Schedule: Full time Remote: No The Opportunity: JR Automation, a Hitachi ... Perform robotic reach & cycle time studies. * Perform system throughput studies. * Work with the ...

Engineering & Science Job Schedule: Full time Remote: No The Opportunity: JR Automation, a Hitachi ... Perform robotic reach & cycle time studies. * Perform system throughput studies. * Work with the ...

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Remote Robotics Engineer information

See Detroit, MI salary details

$28.7K

$104.5K

$167.3K

How much do remote robotics engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote robotics engineer in Detroit, MI is $104,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $125,700.00 per year, depending on experience, location, and employer.

What is a remote robotics engineer?

A Remote Robotics Engineer designs, develops, and tests robotic systems while working from a remote location. They use simulation tools, software, and cloud-based platforms to build and program robots for various industries, such as manufacturing, healthcare, and automation. Communication and collaboration with teams are typically done through video calls, online project management tools, and remote coding environments. This role requires expertise in robotics software, hardware integration, and control systems, alongside strong problem-solving skills.

What are some typical challenges a remote robotics engineer might face, and how are they addressed?

Remote Robotics Engineers often encounter challenges related to hardware access, coordination with on-site teams, and troubleshooting physical systems from a distance. To address these issues, engineers frequently utilize remote desktop tools, simulation platforms, and detailed documentation to diagnose and resolve problems without being physically present. Regular video meetings, thorough written communication, and close collaboration with on-site personnel help bridge the gap between remote and in-person work. Proactively coordinating schedules for hands-on testing and leveraging cloud-based development environments can also improve project efficiency and outcomes.

What are the key skills and qualifications needed to thrive as a remote robotics engineer, and why are they important?

To thrive as a Remote Robotics Engineer, you need a strong background in robotics engineering, programming (such as Python or C++), and experience with embedded systems, supported by a relevant degree in engineering or computer science. Familiarity with industry tools like ROS (Robot Operating System), simulation software (Gazebo or MATLAB), and version control systems (Git) is commonly required, along with relevant certifications. Strong problem-solving skills, self-motivation, effective communication, and the ability to work independently are highly valued in remote settings. These abilities ensure the successful design, testing, and deployment of robotics solutions while collaborating virtually with interdisciplinary teams.

What are the most commonly searched types of Robotics Engineer jobs in Detroit, MI?

The most popular types of Robotics Engineer jobs in Detroit, MI are:

What job categories do people searching Remote Robotics Engineer jobs in Detroit, MI look for?

The top searched job categories for Remote Robotics Engineer jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Remote Robotics Engineer jobs?

Cities near Detroit, MI with the most Remote Robotics Engineer job openings:

Infographic showing various Remote Robotics Engineer job openings in Detroit, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $104,545 per year, or $50.3 per hour.

Robotics Engineer II

May Mobility

Ann Arbor, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Essential Responsibilities
  • Train, Integrate and Test Machine Learning models for on-vehicle Autonomy software
  • Optimize and Monitor on-vehicle software for maximum reliability and minimum latency
  • Coordinate and execute on-vehicle tests to validate performance of Autonomous Vehicle software in real-world scenarios
  • Diagnose and root-cause issues reported by commercial operations through the May Field Response process
  • Design and oversee data collection strategies to address ML model deficiencies 
  • Develop tools and visualizations to enable support engineers to analyze performance of behavior and control subsystems from field data
Qualifications and Experience

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

Required

  • 2+ years experience with robotics software for physical systems in a commercial environment
  • Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)
  • Basic understanding of ML model concepts such as training, architectures, and data selection
  • Functional understanding of lidar, camera and/or radar perception systems and their hardware interfaces
  • Strong programming skills in C/C++/Python in a Linux environment
  • Functional proficiency with Software concepts such as memory management, threading, databases and networking
  • Familiarity with standard development tools such as git, valgrind, and gdb

Desirable

  • Familiarity with common Perception, Planning and Foundation model concepts in Autonomous Driving.
  • Experience deploying ML models to resource-constrained hardware
  • Experience with CUDA and GPU processing techniques
  • Proficiency with hard example mining, active learning or dataset composition techniques
  • Experience calculating metrics for and evaluating autonomous vehicle models
  • Experience building training and evaluation pipelines for large data (>100TB) or large model (>100GB) applications
Physical Requirements
  • Standard office working conditions which includes but is not limited to:
    • Prolonged sitting
    • Prolonged standing
    • Prolonged computer use
  • Travel required? -  Minimal: 1%-10%

Benefits and Perks

  • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. 
  • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
  • Rich retirement benefits, including an immediately vested employer safe harbor match.
  • Generous paid parental leave as well as a phased return to work. 
  • Flexible vacation policy in addition to paid company holidays.
  • Total Wellness Program providing numerous resources for overall wellbeing   
Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.

Want to learn more about our culture & benefits? Check out our website!

May Mobility is an equal opportunity employer.  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.   Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.

Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.