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?We are actively seeking skilled professionals in Model Deployment to join our team, with a primary focus on optimizing and deploying Neural Network for real-time applications at scale. As a pivotal member of our intelligent driving team, you will be responsible for the end-to-end deployment process, ensuring that models transition seamlessly from development to production environments. Your role will include optimizing performance, managing model versioning, and monitoring deployed models to ensure reliability and efficiency in embedded systems. This position offers a unique opportunity to contribute to the scalability and robustness of cutting-edge AI solutions in a production setting.

?Generate serialized model files compatible with different platforms (Horizon, Qualcomm, Nvidia, etc) ensuring robust performance and safety in mass-produced vehicles.

?Collaborate closely with cross-functional teams to seamlessly integrate deployed neural networks into the overall system architecture for real-time applications.

?Continuously optimize and enhance deployed models to improve overall performance, accuracy, and scalability in production environments.

?Participate in project planning, milestone setting, and progress tracking to ensure timely delivery of autonomous driving features for mass production.

?Stay abreast of the latest advancements in autonomous driving technology, actively incorporating new insights and techniques into model deployment.

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?Master’s degree or above in computer science, electronic engineering, mathematics, or related fields.

?Deep understanding and practical experience in model deployment for autonomous driving systems, with experience at model quantization.

?Prior experience using deployment toolchains on platforms such as Horizon, Qualcomm, and Nvidia.

?Familiarity with model quantization methods, e.g. such as PTQ, QAT

?Proficiency in programming languages such as C++, Python, etc., with strong coding skills for algorithm development and implementation.

?Excellent problem-solving skills and the ability to analyze complex technical issues related to autonomous driving.

?Strong communication skills and a collaborative mindset, with the ability to work effectively in cross-functional teams.

?Prior experience in prediction/planning model deployment is highly desirable.