
Robotics Expertise Developer
2 weeks ago
Drive Dyson's ambitious robotics research programme forward by planning, designing, and developing cutting-edge robotics perception & localisation systems to solve problems in real world robotics.
Research and develop systems for Dyson's future autonomous and intelligent products in a highly multidisciplinary team covering topics including Computer Vision, Machine Learning, Robot Control, Mechatronics and Electronics, Human-Robot Interaction, all within a friendly and multi-cultural work environment.
About the RoleSeek applicants with first-hand experience of applied robotics and a portfolio of robotics projects. We are looking for individuals with initiative, creativity, and the ability to learn fast, along with a cross-section of skills that will make a contribution to the company.
- Design, implement and evaluate novel sensing solutions for Dyson's next generation robotic platforms, addressing real world robotic challenges.
- Prototype solutions in simulation and hardware to perform thorough quantitative evaluation to assess suitability and robustness.
- Seek out, understand and resolve challenging edge cases arising when operating in real-world domestic environments.
- Work within a multidisciplinary team to design systems taking into account physical, computational and cost constraints of the target platform.
- Develop software in C++ and Python and deploy and test on prototype/target hardware.
- Develop state-of-the-art machine learning and image processing algorithms for 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 2 years of experience working with diverse proprioceptive and exteroceptive sensing technologies, understanding 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 implementing 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), 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.
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