We are actively seeking skilled professionals in Model Deployment to join our team with a primary focus on optimizing and deploying Neural Network for realtime applications at scale. As a pivotal member of our intelligent driving team you will be responsible for the endtoend 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 cuttingedge AI solutions in a production setting.
Generate serialized model files compatible with different platforms (Horizon Qualcomm Nvidia etc) ensuring robust performance and safety in massproduced vehicles.
Collaborate closely with crossfunctional teams to seamlessly integrate deployed neural networks into the overall system architecture for realtime 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.
Qualifications :
Masters 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 problemsolving 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 crossfunctional teams.
Prior experience in prediction/planning model deployment is highly desirable.
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