Search the 26 jobs at XPeng Motors

The Perception Algorithm Engineer will contribute to the development of a map-less self-driving product, focusing on ego-localization and static environment modeling. Key responsibilities include researching algorithms, collaborating with AI teams, and executing projects across platforms.

The Senior Machine Learning Engineer will develop advanced algorithms for humanoid robotics using imitation learning and reinforcement learning. Responsibilities include designing machine learning models, optimizing training processes, and contributing to team collaborations to push the boundaries of robotics technology.

Seeking a Senior Staff Perception Algorithm Engineer at XPeng Motors to work on map-less self-driving products for urban environments. Responsibilities include developing algorithms for ego pose tracking and static environment tracking using advanced technologies and collaborating with cross-functional teams for rapid execution. Requires a Ph.D. in EE, CS or related field with 5 years of experience or a Master's with 8 years of full-time work experience in algorithms design.

Design, train, and deploy deep learning models utilizing extensive labeled and unlabeled data from a fleet of vehicles, focusing on generative and foundation models to advance autonomous driving capabilities.

The Junior Test Engineer will execute test cases on ADAS systems, analyze results, collaborate with development teams, and perform real vehicle tests. The role requires a Master's degree in engineering and understanding of vehicle dynamics, along with hands-on mechanical abilities to prepare vehicles for testing.

The Junior Test Engineer will develop and implement system test plans for the ICE systems, create automated test scripts, execute test cases, analyze results, and work with development teams to debug issues. Additional responsibilities include documenting testing processes and staying updated on new testing tools.

Develop and conduct interoperability test cases for powertrain and charging systems, analyze test results, coordinate testing activities, identify issues, and report findings. Engage with internal and external teams to ensure functional specifications are met and provide feedback throughout the testing process.

Design and implement a real-time data management platform for autonomous driving, optimize data pipelines for deep learning, contribute to data architecture evolution, and lead high-impact projects with multiple stakeholders.

The Staff Machine Learning Engineer will research, prototype, optimize and deploy perception algorithms for autonomous vehicles. Responsibilities include training large-scale deep learning models, optimizing compute resource utilization, and collaborating with software and test teams on development.

The Computer Vision Intern at XPeng Motors will design and implement vision large language models for autonomous driving, research algorithms, debug and optimize vision algorithms, and collaborate with teams on product definition and HMI integration.

The Staff Machine Learning Engineer will design, train, and deploy large deep learning models using data from millions of vehicles to enhance autonomous driving capabilities. This role includes establishing advanced ML infrastructure and improving model training/inference processes.

Design, train, and deploy large deep learning models utilizing vast amounts of data from a fleet of vehicles, working alongside engineers and scientists to advance autonomous driving solutions.

The Machine Learning Engineer Intern will work with a team to research and develop machine learning solutions for autonomous driving. Responsibilities include building and improving deep learning models, deploying AI systems, and handling large datasets to enhance object detection and segmentation tasks.

The Machine Learning Engineer will fine-tune and maintain large language models for Humanoid Robots and Autonomous Driving Cars, develop training and deployment pipelines, leverage large-scale datasets, explore synthetic data generation, and collaborate with teams to align on product needs.

The Senior Staff Machine Learning Engineer will design, train, and deploy large deep learning models to enhance autonomous driving capabilities. This role involves establishing ML infrastructure for large model training and inference, and requires collaboration with software engineers and research scientists to advance state-of-art machine learning models.

As an AI Performance Engineer, you will optimize the training and inference performance of machine learning models for autonomous driving, working closely with software engineers and researchers to enhance the capabilities of deep learning on NVIDIA GPU systems and AV onboard systems.

The Machine Learning Engineer will design, train, and deploy large deep learning models utilizing extensive data from a fleet of vehicles, focusing on enhancing model training and inference for autonomous driving solutions.

The Senior Machine Learning Engineer will develop and optimize perception algorithms for autonomous vehicles, focusing on deep learning and computer vision. Responsibilities include training models on GPU clusters, improving algorithms, and collaborating with software teams.

As a Staff Machine Learning Engineer, you will design deep learning algorithms using vast data from vehicles, adopt recent advancements in machine learning, and collaborate with software developers to enhance the autonomous driving product.

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.