Senior Robotic AI-Perception Engineer Only W2
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Job Location:
Warren, OH - USA
Monthly Salary:
Not Disclosed
Posted on:
9 days ago
Vacancies:
1 Vacancy
Job Summary
Role: Senior Robotic AI-Perception Engineer
Location: Warren MI (Onsite from Day 1)
Job Type: W2 Contract
Main Skills: Senior Robotic AI-Perception Engineer (AI/ML perception computer vision Python TensorFlow and/or PyTorch)
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.
Masters or Ph.D. in Computer Science Electrical Engineering Robotics or a related field (or Bachelors 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.
