Senior Computer Vision Engineer
Your Mission
As a Computer Vision Engineer, you will play a pivotal role in designing, implementing, and optimizing computer vision algorithms that are integral to our robotic systems. You will work closely with a multidisciplinary team of engineers and researchers to develop software and in-house core algorithm. This role demands a blend of creativity and technical expertise to tackle challenging problems and contribute to our mission of revolutionizing robotics applications in manufacturing and assembly.
What To Expect
- Design and implement advanced computer vision algorithms for 3D reconstruction, image processing, object detection, recognition, tracking, and scene understanding to enhance the capabilities of our robotic systems.
- Develop robust software solutions that integrate computer vision algorithms into our robotic platforms, ensuring high performance and reliability.
- Collaborate with other engineers and researchers to prototype new concepts and bring innovative technologies from conception to deployment in real-world applications.
- Continuously research and stay updated on the latest advancements in computer vision and machine learning technologies to inform development strategies.
- Optimize existing computer vision algorithms for efficiency, including improving accuracy, reducing computational resources, and achieving real-time performance.
- Conduct rigorous testing and validation of computer vision components to ensure system performance and reliability under diverse and challenging conditions.
- Document software designs, implementation details, and testing protocols to facilitate knowledge sharing and ensure reproducibility.
What You'll Bring
- A Master's or Ph.D. degree in Computer Science, Electrical Engineering, Robotics, or a related field, with more than 5 years of industrial experience focusing on computer vision and robotics.
- Solid foundation in computer vision, image processing (e.g. edge detection, denoising), multiple view geometry, depth estimation, machine learning techniques with proven experience developing and deploying algorithms in real-world applications. Please note that knowledge in deep learning is required but not sufficient.
- Expertise in camera calibration, like camera intrinsic calibration, camera-to-camera calibration and robot-to-camera calibration with proven experience on developing and deploying calibration algorithms.
- Expertise in programming languages such as C++, Python and CUDA, and familiarity with computer vision libraries (e.g., OpenCV, PCL) and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Expertise in calibration and 3D reconstruction (nerf and gaussian).
- Experience with point cloud processing is highly desirable.
- Ability to work effectively in a collaborative team environment and communicate complex technical concepts clearly and concisely.
- Creative problem-solving skills and a passion for innovation in robotics and computer vision technologies.