At least 5 years of experience with proficiency in at least one programming language among Go/Python in a Linux environment, with excellent hands-on coding skills; Familiar with some open-source distributed scheduling frameworks, such as Kubernetes (K8S), Yarn (as well as the Big data frameworks Flink and MapReduce in the Hadoop ecosystem), Mesos, Celery, and has rich practical and development experience in Machine Learning systems; Master the principles of distributed systems, and have participated in the design, development, and maintenance of large-scale distributed systems; Have excellent logical analysis skills, capable of reasonably abstracting and splitting business logic; Have a strong sense of work responsibility, good learning ability, communication skills, and self-motivation, and be able to respond and act quickly; Have good work documentation habits, and timely write and update work processes and Technical Documentation as required. Preferred Qualifications: Familiar with at least one mainstream Machine Learning framework (PyTorch / TensorFlow); Have experience in one of the following areas: Al Infrastructure, HW/SW Co-Design, High Performance Computing, ML Hardware Architecture (GPU, Accelerators, Networking); Some experience in using/designing open-source training orchestration systems, such as veRL, VLLM, Ray, TFX.