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Autonomous Robot Jobs in Michigan (NOW HIRING)

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Autonomous Robot information

What are autonomous robots?

Autonomous robots are machines capable of performing tasks and making decisions without direct human intervention. They use sensors, software, and artificial intelligence to perceive their environment, process information, and act on their own. These robots are commonly used in industries such as manufacturing, logistics, healthcare, and even in homes for tasks like cleaning. Their level of autonomy can vary, from simple programmed routines to complex behaviors that adapt to changing circumstances. The goal of autonomous robots is to increase efficiency, reduce human labor, and perform tasks that may be dangerous or repetitive for people.

What are some common challenges faced by engineers working on autonomous robot development teams?

Engineers working on autonomous robot development teams often encounter challenges such as integrating complex hardware and software systems, ensuring reliable sensor data interpretation, and maintaining robust performance in unpredictable real-world environments. Collaboration is key, as teams typically include specialists in areas like perception, navigation, and mechanical design. Clear communication and agile problem-solving are essential, especially when troubleshooting issues that arise during field testing or adapting to new use cases.

What are the key skills and qualifications needed to thrive as an autonomous robot engineer, and why are they important?

To thrive as an Autonomous Robot Engineer, you need expertise in robotics, computer vision, artificial intelligence, and a solid background in engineering or computer science. Familiarity with technical tools such as ROS (Robot Operating System), sensor integration, and programming languages like Python or C++ is essential, along with relevant certifications or advanced degrees. Strong problem-solving, teamwork, and communication skills help engineers collaborate effectively and innovate solutions to complex challenges. These skills ensure the development, deployment, and maintenance of reliable autonomous robotic systems in real-world environments.

What is the difference between Autonomous Robot vs Robot Technician?

AspectAutonomous RobotRobot Technician
Required CredentialsEngineering degree or technical certification in robotics or automationTechnical diploma or certification in robotics, electronics, or maintenance
Work EnvironmentOperates independently in manufacturing, logistics, or field settingsMaintains, repairs, and installs robots in industrial or commercial facilities
Industry UsageDesigns and deploys autonomous systems in various sectorsSupports and services robotic equipment used in industry

Autonomous Robots are designed to operate independently, often requiring advanced engineering knowledge, while Robot Technicians focus on maintaining and repairing robotic systems. Both roles are essential in robotics industries but differ in responsibilities and skill requirements.

What are popular job titles related to Autonomous Robot jobs in Michigan?

For Autonomous Robot jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Autonomous Robot jobs in Michigan look for?

The top searched job categories for Autonomous Robot jobs in Michigan are:

What cities in Michigan are hiring for Autonomous Robot jobs?

Cities in Michigan with the most Autonomous Robot job openings:

Autonomous Robot jobs near you
Infographic showing various Autonomous Robot job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 10% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

ML Engineer, I - App Engine

Torc Robotics

Ann Arbor, MI • On-site

Full-time

Re-posted 21 days ago

Job description

Job Summary:
Torc Robotics is a leader in autonomous driving technology focused on developing software for automated trucks. The ML Engineer, I - App Engine will work on creating and optimizing processing pipelines and runtime environments for machine learning applications, ensuring efficient and safe operations in autonomous trucking.
Responsibilities:
• Development of a processing pipeline SDK capable of spanning multiple distributed System on a Chips using Ethernet, PCIe, and similar to move data through different processing stages.
• Optimization of concurrent usage of resources (Memory, GPU) for parallel execution of trained models on a single System on a Chip
• Development of a runtime environment, which uses the App Engine SDK to deploy machine learning based virtual driver applications.
• SDK Feature development to support the creation of Virtual Driver Software
• Support Virtual Driver Division with their usage of the Application Engine
• Creation of high-quality code including test case development
Qualifications:
Required:
• Bachelor’s degree in Computer Engineering, Electrical Engineering, or Software Engineering, Computer Science or advanced degree with 1-3 years experience
• Experience with Embedded Software Development, especially with a focus on GPUs
• Experience with TensorRT and CUDA
• Experience in the development of real-time distributed systems
• Profound knowledge of C++
• Familiarity with machine learning technologies (e.g. PyTorch)
• Experience with Linux
Preferred:
• Experience developing SDK’s for complex embedded systems, especially those featuring GPUs or multiple SOCs.
• Experience in autonomous robotic or vehicle systems.
• Knowledge of computer architecture principles such as pipelining, memory hierarchy, locality, etc.
Company:
Torc provides L4 end-to-end self-driving software for mobility, trucking, mining, and defense markets through strategic partnerships Founded in 2005, the company is headquartered in Blacksburg, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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