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Robotics Perception Engineer Jobs in Detroit, MI

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

You'll collaborate daily with ML researchers, software engineers, robotics engineers, and hardware teams to design, build, and deploy perception and world-understanding systems that directly ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

You'll collaborate daily with ML researchers, software engineers, robotics engineers, and hardware teams to design, build, and deploy perception and world-understanding systems that directly ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI

$100K - $132K/yr

You'll collaborate daily with ML researchers, software engineers, robotics engineers, and hardware teams to design, build, and deploy perception and worldunderstanding systems that directly influence ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

You'll collaborate daily with ML researchers, software engineers, robotics engineers, and hardware teams to design, build, and deploy perception and worldunderstanding systems that directly influence ...

Optimal Inc.

Sr. Robotics Engineer - Integration

Warren, MI · On-site

$97K - $131K/yr

The role spans robotics, perception, EOAT, safety, controls, plant integration, and pilot-scale ... research and engineering teams into a unified end-to-end pipeline. * Own the architecture and ...

Optimal Inc.

Sr. Robotics Engineer - Integration

Warren, MI · On-site

$97K - $131K/yr

The role spans robotics, perception, EOAT, safety, controls, plant integration, and pilot-scale ... research and engineering teams into a unified end-to-end pipeline.Own the architecture and ...

Optimal Inc.

Robotics Software Engineer

Warren, MI · On-site

Define interfaces and APIs for motion planning, perception, and gripper/tool management. Motion ... Master's degree in Robotics, Computer Science, Software Engineering, Electrical Engineering, or a ...

Optimal Inc.

Robotics Software Engineer

Warren, MI · On-site

We are seeking a highly skilled and motivated Robotics Software Engineer to lead the development of ... Define interfaces and APIs for motion planning, perception, and gripper/tool management.Motion ...

Tata Consultancy Service Limited

Robotics Engineer

Troy, MI · On-site

$100K - $130K/yr

... Robotics Engineers with strong hands-on expertise in ROS/ROS2 to build and deploy real-world ... perception, and autonomy - Integrate sensors (LiDAR, IMU, depth cameras) and actuators - Work with ...

Tata Consultancy Service Limited

Robotics Engineer

Troy, MI · On-site

$100K - $130K/yr

... Robotics Engineers with strong hands-on expertise in ROS/ROS2 to build and deploy real-world ... perception, and autonomy - Integrate sensors (LiDAR, IMU, depth cameras) and actuators - Work with ...

Tata Consultancy Service Limited

Robotics Engineer

Troy, MI · On-site

$100K - $130K/yr

... Robotics Engineers with strong hands-on expertise in ROS/ROS2 to build and deploy real-world ... perception, and autonomy - Integrate sensors (LiDAR, IMU, depth cameras) and actuators - Work with ...

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All JobsRobotics Perception Engineer JobsRobotics Perception Engineer Jobs in Detroit, MI

Robotics Perception Engineer information

See Detroit, MI salary details

$28.7K

$104.5K

$167.3K

How much do robotics perception engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for robotics perception 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 robotics perception engineer?

Robotics Perception Engineers are professionals who specialize in enabling robots to interpret and understand their environment using sensors and data processing algorithms. They work on developing and implementing computer vision, sensor fusion, and machine learning techniques so that robots can perceive objects, people, and surroundings. Their work is crucial for applications such as autonomous vehicles, drones, industrial automation, and service robots. By improving a robot's ability to 'see' and make sense of the world, they help create safer and more effective robotic systems.

What is the difference between Robotics Perception Engineer vs Computer Vision Engineer?

AspectRobotics Perception EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or Electrical Engineering; experience with perception algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; strong programming skills in vision processing
Work EnvironmentRobotics labs, autonomous vehicle companies, industrial automationSoftware companies, tech startups, research labs focusing on image and video analysis
Industry UsageAutonomous vehicles, robotics, manufacturingHealthcare, security, consumer electronics, automotive

Robotics Perception Engineers focus on developing perception systems specifically for robots, integrating sensors and perception algorithms for navigation and interaction. Computer Vision Engineers primarily develop algorithms for interpreting visual data across various applications. While both roles require strong programming and understanding of perception, Robotics Perception Engineers specialize in sensor fusion and real-time processing within robotic systems, whereas Computer Vision Engineers work more broadly on image analysis and recognition tasks.

What are some common challenges faced by robotics perception engineers when integrating new sensors into autonomous systems?

Robotics Perception Engineers often encounter challenges such as sensor calibration, data synchronization, and managing varying data quality when integrating new sensors. Ensuring that sensor data is accurately aligned in time and space is crucial for reliable perception in autonomous systems. Additionally, engineers must address the complexities of fusing data from multiple modalities (like cameras, LiDAR, or radar) while optimizing processing efficiency. Close collaboration with hardware and software teams is essential to troubleshoot integration issues and achieve robust, real-time perception.

What are the key skills and qualifications needed to thrive as a robotics perception engineer?

To thrive as a Robotics Perception Engineer, you need strong expertise in computer vision, sensor fusion, machine learning, and proficiency in programming languages like C++ and Python, often supported by a degree in robotics, computer science, or a related field. Familiarity with tools and frameworks such as ROS (Robot Operating System), OpenCV, and deep learning libraries, as well as experience with sensors like LiDAR and cameras, is typically required. Excellent problem-solving abilities, teamwork, and adaptability help set standout professionals apart in this role. These competencies are crucial for enabling robots to accurately interpret and interact with their environment, leading to robust and reliable autonomous systems.
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Robotics Perception Engineer jobs near you
Infographic showing various Robotics Perception Engineer job openings in Detroit, MI as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $104,545 per year, or $50.3 per hour.

Robotics Engineer, Perception/Computer Vision

Nastech Global

Warren, MI • On-site

Contractor

Re-posted 8 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.