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Sensing Specialist
2 weeks ago
Dyson is seeking a Perception Engineer to drive the company's ambitious robotics research programme forward by planning, designing, and developing cutting-edge robotics perception & localisation systems to solve problems in real world robotics.
About the RoleThis is an opportunity to work in a highly multidisciplinary team covering topics including Computer Vision, Machine Learning, Robot Control, Mechatronics and Electronics, Human-Robot Interaction, all with the backdrop of friendly and multi-cultural work environment.
Key Responsibilities:- Design, implement and evaluate novel sensing solutions for Dyson's next generation robotic platforms, to address real world robotic challenges.
- Prototype solutions in simulation and in hardware to perform thorough quantitative evaluation to assess suitability and robustness.
- Seek out, understand and resolve the challenging edge cases that arise when operating in real-world domestic environments.
- Work within multidisciplinary team to design systems that take into account the physical, computational and cost constraints of the target platform.
- Develop software in C++ and Python and deploy & test on prototype/target hardware.
- Develop state of the art machine learning and image processing algorithms for a targeted hardware.
- Maintain awareness of emerging technologies within robotics, and keep up to date with industry best practices and trends.
- Possess an advanced degree (or equivalent industry experience) in robotics or a related discipline, with a focus on applying advanced concepts to practical problems in robotic sensing and perception.
- Minimum of 2 years of experience working with a diverse range of proprioceptive and exteroceptive sensing technologies, with an understanding of their characteristics, limitations, and integration methodologies.
- Hands-on experience with various Time-of-Flight and RGB camera sensors.
- Experience in designing, developing, deploying, and testing both hardware and software prototypes for proof-of-concept projects.
- Competent in the implementation of state-of-the-art machine learning operations (MLOps) and computer vision algorithms, including but not limited to: object identification, object tracking, point cloud registration, and image segmentation.
- Experience with robotics simulation platforms (such as Gazebo or PyBullet).
- Strong programming skills in C++, Python, and ROS (Robot Operating System), as well as familiarity with relevant open-source libraries and development tools.
- Experience developing and deploying software solutions in Linux environments, utilizing modern software development best practices.
- Capable of explaining complex concepts clearly and succinctly.
