What are the responsibilities and job description for the Senior Robotics Engineer / Computer Vision / Perception position at Motion Recruitment?
This onsite opportunity centers on operating robotic systems and capturing the high-quality data required to train intelligent automation models. The role blends robotics, sensors, and data workflows in a real-world pm This opportunity is with an advanced robotics and AI organization building autonomous robotic systems for complex, real-world manufacturing environments. The team is developing perception-driven intelligence using computer vision, machine learning, and robotics frameworks to enable robots to safely navigate, detect, and interact with their surroundings at scale.
This role is ideal for a senior-level robotics engineer who wants to work on perception systems that move beyond research and into production. The team is looking for someone who thrives in hands-on environments, enjoys solving open-ended technical challenges, and wants to push the boundaries of applied AI in robotics.
Contract Duration: 12 Months
Required Skills & Experience
Tech Breakdown
This role is ideal for a senior-level robotics engineer who wants to work on perception systems that move beyond research and into production. The team is looking for someone who thrives in hands-on environments, enjoys solving open-ended technical challenges, and wants to push the boundaries of applied AI in robotics.
Contract Duration: 12 Months
Required Skills & Experience
- 5 years of experience in robotics perception or computer vision
- Advanced degree in Robotics, Computer Science, or related field
- Strong background in object detection, segmentation, localization, or tracking
- Proficiency in Python or C
- Hands-on experience with ROS or ROS2
- Experience deploying ML or CV models on robotic platforms
- Familiarity with sensor data (cameras, RGB-D, LiDAR)
- Experience in manufacturing, industrial automation, AV, or ADAS environments
- Exposure to SLAM, navigation, or motion planning systems
- Experience with deep learning frameworks (PyTorch or TensorFlow)
- Familiarity with CI/CD or cloud-based ML pipelines
Tech Breakdown
- 40% Robotics Perception & Computer Vision
- 30% Machine Learning Model Development
- 20% ROS Integration & Real-Time Deployment
- 10% Simulation, Testing, and Validation
- 75% Hands-On Engineering
- 15% Cross-Functional Collaboration
- 10% Documentation, IP, and Knowledge Sharing