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Robotics Computer Vision Waymo Jobs (NOW HIRING)

Computer Vision Engineer

Costa Mesa, CA ยท On-site

$118K - $139K/yr

The Computer Vision Engineer will develop advanced perception systems for autonomous aerial platforms, integrating computer vision algorithms with robotics principles to solve complex challenges in ...

Computer Vision Engineer

Costa Mesa, CA ยท On-site

$191K - $253K/yr

Your expertise in computer vision algorithms, combined with your understanding of robotics principles, will be crucial in solving a wide variety of challenges involving visual perception, SLAM ...

Computer Vision Engineer

Costa Mesa, CA ยท On-site

$191K - $253K/yr

Your expertise in computer vision algorithms, combined with your understanding of robotics principles, will be crucial in solving a wide variety of challenges involving visual perception, SLAM ...

Computer Vision Engineer

Costa Mesa, CA ยท On-site

$191K - $253K/yr

Your expertise in computer vision algorithms, combined with your understanding of robotics principles, will be crucial in solving a wide variety of challenges involving visual perception, SLAM ...

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Robotics Computer Vision Waymo information

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$37

How much do robotics computer vision waymo jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for robotics computer vision waymo in the United States is $24.38, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $27.40 per hour, depending on experience, location, and employer.

What is the difference between Robotics Computer Vision Waymo vs Robotics Software Engineer?

AspectRobotics Computer Vision WaymoRobotics Software Engineer
Required CredentialsBachelor's or Master's in Computer Science, Robotics, or related fields; experience in computer vision and roboticsBachelor's or Master's in Computer Science, Robotics, or related fields; programming skills in C++, Python
Work EnvironmentAutonomous vehicle development, research labs, field testingRobotics development across various industries, research, and manufacturing
Employer & Industry UsageWaymo, autonomous vehicle industryMultiple industries including manufacturing, logistics, and research labs

Robotics Computer Vision Waymo focuses on developing perception systems for autonomous vehicles, emphasizing computer vision and sensor integration. Robotics Software Engineers have broader roles in designing and implementing robotics software across various sectors. While both roles require similar educational backgrounds, Waymo specialists focus more on autonomous vehicle perception, whereas Robotics Software Engineers work on diverse robotic applications.

Infographic showing various Robotics Computer Vision Waymo job openings in the United States as of May 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 49% Physical, 48% Hybrid, and 3% Remote job distribution, with an average salary of $50,704 per year, or $24.4 per hour.

Robotics Engineer, Perception/Computer Vision

Nastech Global

Warren, MI โ€ข On-site

Contractor

Posted 4 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.
  • Masterโ€™s or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or Bachelorโ€™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.