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The role involves designing deep learning algorithms for autonomous driving, working with labeled and unlabeled data from vehicles, and collaborating with developers to implement AI software systems and research advancements in machine learning.

The Senior Software Engineer will lead the enhancement of autonomy development productivity and CI/CD at XPeng Motors. Responsibilities include architecting and implementing software solutions, deploying new development tools, and resolving issues in production environments.

The Staff Data Platform Engineer will design and implement data pipelines and simulation infrastructure for autonomous driving, work with cross-functional teams to deliver data products, and enhance internal processes. The role requires technical leadership and excellent communication skills, with a focus on self-driving technology.

As a Senior Staff Machine Learning Engineer, you will investigate and implement advanced AI methodologies to enhance productivity and automate workflows, work with cross-functional teams on AI integration, and mentor engineers in adopting AI technologies.

The Staff Software Engineer will develop big data applications for ADAS, collaborating with ML algorithm engineers and data analysts to enhance performance and streamline processes. Responsibilities include system design, implementation, testing, cloud deployment, and user support, while leveraging advanced technologies in an innovative environment.

Xpeng Motors is seeking a full-time Machine Learning Engineer Intern with a focus on building LLMs or diffusion models for autonomous driving. Responsibilities include research, deploying ML solutions, and working with large datasets. The intern must have a PhD or Master's in computer science or related field, experience with CNNs/RNNs and generative models, fluency in Python, and proficiency in TensorFlow, PyTorch, or MXNet.

As a Senior Staff AI Infrastructure SRE at XPeng Motors, lead the design and implementation of robust cloud-native AI infrastructure solutions to support autonomous driving initiatives. Collaborate with ML teams, address system bottlenecks, and foster technological advancements. Minimum 5-8 years of experience in managing GPU clusters and strong programming skills in Python, Golang.