Computer Vision & AI Specialist

Job Description

We are seeking a highly skilled and experienced Senior Robotics Perception and AI Engineer to join our team. In this role, you will be responsible for developing, optimizing and implementing cutting-edge perception and AI algorithms to enable our robots to understand and interact with the world around them. You will leverage your deep expertise in computer vision, machine learning, and robotics to drive innovation and solve complex challenges.

• Develop and implement advanced high-performing perception algorithms for real-time tasks such as object detection, segmentation, and pose estimation based on variety of sensor data (Lidar, Camera, etc)
• Design, train, optimize, deploy and maintain AI/ML models for robust and accurate perception in challenging environments
• Enhance our machine learning pipeline and related tools to support development, experimentation, continuous integration, continuous delivery, verification/validation, and monitoring of AI/ML models in the field
• Integrate perception systems with robotic platforms to enable autonomous manipulation, navigation, and human-robot interaction
• Analyze and process sensor data (e.g., camera, lidar, radar, etc.) to extract meaningful information
• Translate product level requirements into technical design criteria
• Work with engineers (robotics, hardware, etc.) and product team to define hardware/software architecture and technical roadmap
• Collaborate with cross-functional teams, including hardware engineers, software engineers, and control engineers, to ensure seamless integration of perception systems
• Stay up to date with the latest advancements in computer vision, machine learning, and robotics to drive innovation and improve product performance
• Provide technical leadership and mentorship to junior engineers, fostering a culture of innovation and continuous learning

Duties

• Develop advanced perception algorithms for tasks such as object detection, segmentation, and pose estimation based on variety of sensor data (Lidar, Camera, etc)
• Lead the technical roadmap for the perception part aligned with our vision and Product Roadmap
• Design, train, optimize, deploy and maintain AI/ML models for robust and accurate perception in challenging environments
• Enhance our machine learning pipeline and related tools to support development, experimentation, continuous integration, continuous delivery, verification/validation, and monitoring of AI/ML models in the field
• Integrate perception systems with robotic platforms to enable autonomous manipulation, navigation, and human-robot interaction
• Analyze and process sensor data (e.g., camera, lidar, radar, etc.) to extract meaningful information
• Translate product level requirements into technical design criteria
• Work with engineers (robotics, hardware, etc.) and product team to define hardware/software architecture and technical roadmap
• Collaborate with cross-functional teams, including hardware engineers, software engineers, and control engineers, to ensure seamless integration of perception systems
• Stay up to date with the latest advancements in computer vision, machine learning, and robotics to drive innovation and improve product performance
• Provide technical leadership and mentorship to junior engineers, fostering a culture of innovation and continuous learning

Requirements

• Master's or PhD in computer science, robotics, or a related field
• 5+ years of experience in computer vision, machine learning, and/or robotics
• Strong theoretical foundation in computer vision, image processing, and machine learning algorithms
• Proficiency in programming languages such as Python, C++, and ROS2
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
• Experience with real-time systems and embedded platforms
• Knowledge of robotics platforms and sensor systems
• Founder’s mentality: Entrepreneurial passion for getting things done and a “make it happen” attitude with an intellectual curiosity to seek new opportunities
• Skill and Behavior: Capability to work dynamically and collaboratively across multiple teams in a fast-paced and technical business environment with minimal supervision. Excellent communication skills. Results-oriented, “can-do” attitude, and “get things done” mentality; comfortable with uncertainty and ambiguity; no compromise on attention to quality and details
• Technology fluency: Demonstrated ability to understand solar engineering and technology concepts, question assumptions, and make informed product and technology decisions. Technical understanding of automation, robotics, computer vision, machine learning, and/or artificial intelligence is a plus