ZipRecruiter

Log In

1

Autonomous Robot Jobs in Michigan (NOW HIRING)

Tata Consultancy Services

AI Researcher

Detroit, MI

About the Role As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you'll work on the frontier of applied artificial intelligence, where perception meets physical intelligence. This ...

next page

Showing results 1-20

All JobsAutonomous Robot JobsAutonomous Robot Jobs in Michigan

Autonomous Robot information

What jobs will humanoid robots do?

Humanoid robots are increasingly used in roles such as customer service, reception, and assistance in environments like retail stores, hospitals, and hotels. They can perform tasks including greeting visitors, providing information, and carrying objects, often requiring programming skills and familiarity with robotics systems. These jobs typically involve interaction with humans and operate in settings that benefit from automation and social engagement.

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 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.

Which 5 jobs will survive AI?

Jobs that require complex problem-solving, creativity, emotional intelligence, and manual dexterity are more likely to survive AI automation. For example, roles such as healthcare professionals, skilled tradespeople, educators, managers, and creative artists are less susceptible to automation due to their reliance on human judgment and interpersonal skills.

What jobs will AI robots take over?

Autonomous robots are increasingly capable of performing tasks in manufacturing, logistics, and transportation, such as warehouse sorting, delivery, and assembly line work. These roles often require repetitive, precise actions and can be automated with AI, sensors, and robotics skills, potentially reducing the need for human workers in these areas.

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 careers can you get with robotics?

A career in robotics can lead to roles such as robotics engineer, automation engineer, control systems engineer, or research scientist. These positions typically require skills in programming, mechanical design, and systems integration, often utilizing tools like CAD software and programming languages such as Python or C++.
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

Robotics Engineer, Perception/Computer Vision

Nastech Global

Warren, MI • On-site

Contractor

Posted 17 days ago

Job description

Position: Senior Robotics Engineer, Perception/Computer Vision

Location: Warren, Michigan

Duration: 12+Months with possible extensions

Main Skills: Senior Robotic AI-Perception Engineer (AI/ML, perception, computer vision, Python, TensorFlow and/or PyTorch)

About the Role:

We are seeking a Senior Robotics Engineer, Perception/Computer Vision to join our Advanced Development team within the Autonomous Robotics Center (ARC). In this role, you will develop perception features that enable robots with advanced capabilities such as object detection, obstacle avoidance, path optimization, and manipulation. This position combines artificial intelligence and computer vision techniques applied to real-world scenarios in dynamic manufacturing environments.

At ARC, we leverage advanced robotics, machine learning, and artificial intelligence to solve complex manufacturing challenges at unprecedented scale. Joining our organization provides the opportunity to work on cutting-edge technologies, contribute to innovation, and collaborate with a diverse team of experts. You will play a key role in advancing our automation capabilities and ensuring our robotic systems remain at the forefront of the industry.

Key Responsibilities:

  • Design, develop, and implement perception algorithms for segmentation, scene understanding, object detection and localization, classification, and dynamic tracking.
  • Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real-time deployment on autonomous robots (e.g., mobile manipulators).
  • Design and maintain cloud-based pipelines for data collection, annotation, preprocessing, model training, and evaluation.
  • Collaborate with hardware engineers, software engineers, and domain experts to integrate with mapping, motion planning, and controls.
  • Develop offline tools to test and validate perception models in both simulation and real-world environments.
  • Stay updated with emerging technologies and best practices in robotic perception; lead and participate in academic and industrial collaborations.
  • Generate intellectual property, document results, and publish papers.

Required Qualifications:

  • Passion for robotics and a strong desire to accelerate the application of robotics with AI.
  • Master’s or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or Bachelor’s degree with exceptional track record).
  • 3+ years of experience developing and deploying AI/ML, perception, and computer vision (e.g., mono and stereo cameras, RGB-D, event camera, LiDAR) on robotic systems.
  • Proficiency in Python or C++ with hands-on experience in deep learning frameworks such as TensorFlow and PyTorch.
  • Solid understanding of robotics fundamentals, perception and navigation methods (e.g., SLAM, planning), and their typical strengths and shortcomings.
  • Consistently seeks opportunities and embraces challenges to drive self-growth and improvement.

Preferred Qualifications:

  • Ph.D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related research field.
  • Hands-on robotics experience, such as autonomous vehicles (AV), ADAS, or industrial automation systems in manufacturing environments.
  • Experience with robotics frameworks such as ROS/ROS2 (e.g., Nav2, MoveIt).
  • Understanding of CI/CD pipelines and modern software development practices.