Senior/Sr. Staff AI Infrastructure Engineer, Inference & Optimization
DiDi LabsAbout the role
<p class="ql-direction-ltr ql-long-10000202573"><strong class="ql-author-10000202573 ql-size-12 ql-font-arial">About the Company</strong></p> <p class="ql-direction-ltr ql-long-10000202573"><span class="ql-author-10000202573 ql-size-12 ql-font-arial">DiDi's autonomous driving unit was established in 2016 with the mission of developing </span><span class="ql-author-10000202573 ql-size-12 ql-font-arial">Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. </span><span class="ql-size-12 ql-font-microsoftyahei ql-author-10000202573">We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.</span></p> <div class="ql-direction-ltr ql-long-10000202573" data-header="4" data-foldable="true" data-default-linespacing="100"> <p data-path-to-node="1"> </p> <p data-path-to-node="1"><strong data-path-to-node="1" data-index-in-node="0">About The Role</strong></p> <p data-path-to-node="2">We are seeking an experienced and mission-driven Senior/Sr. Staff AI Infrastructure Engineer, Inference & Optimization to lead the performance tuning, deployment, and resource scheduling of cutting-edge AI models across on-vehicle and cloud infrastructure. In this role, you will design high-efficiency inference pipelines, build system-level stability frameworks, and optimize hardware execution to ensure ultra-low latency and rock-solid operational reliability. You will act as a technical leader in AI infrastructure, accelerating model iteration and bridging the gap between frontier deep learning algorithms and real-time autonomous systems.</p> <p data-path-to-node="3"> </p> <p data-path-to-node="3"><strong data-path-to-node="3" data-index-in-node="0">Responsibilities</strong></p> <ul data-path-to-node="4"> <li> <p data-path-to-node="4,0,0">Own the deployment, optimization, and resource scheduling of vehicle-side AI models, ensuring high efficiency, low latency, and robust execution within embedded constraints.</p> </li> <li> <p data-path-to-node="4,1,0">Lead vehicle-side system stability initiatives, conducting independent root-cause analysis and driving resolution for complex, system-level performance bot
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