<div data-page-id="JtHmdFPBFoDeeNxg3hrc4Xyjnhg" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-X1AxdI3wHoDJuhxEQzscIQfNnxb"> <div data-page-id="IlWVdPHa4oaUIgxAp1KccvMknZZ" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-TMEXdNB2hoez9lx0yNEcRvhgnht"> <div data-page-id="J9QXdzY9Vo8oQhxxdaice9A6nfb" data-lark-html-role="root" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-doxcnDGT4DThW8i3iruWP8K7kLh"> <div data-page-id="UUExdPHmlod9ESxE22jci10hnre" data-lark-html-role="root" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-doxcnhMxbX0qxDrUNDwdnAJqfae"> <div data-page-id="DlNidu1DAoHawoxx41Ic0c33nFg" data-lark-html-role="root" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-Pt8LdNZzMojVM1xzBNAcEQYMnm0"> <div data-page-id="JdpGdwPYlocSqsxZ9ljcmCfpnjm" data-lark-html-role="root" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-UOm2dF9cWotanHxtYR2cCyexnyg"><strong>XPENG</strong> is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.</div> <div class="ace-line ace-line old-record-id-AJmGd3zelozIy5xzHlUcfhsjn1d"> <div data-page-id="HbEvd6LIYoaIVSxnlCPcArQGnah" data-lark-html-role="root" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-H7etdKLdUoBtA2x3vsLcnpO0nvg"> </div> <div class="ace-line ace-line old-record-id-RcUudT36LoU8ItxJu0PcIZrfnPi"> <div data-page-id="USHqdrW7JobKzdxurtfcqneJnpf" data-lark-html-role="root" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-doxcnZb9V4PXUkns1hd8b8yoD0d"><strong>The Mission:</strong> We are building the next generation of end-to-end autonomous driving on physical AI foundation models — vision-language-action policies and world models — and the same training stack carries our robotics program. These training runs span thousands of accelerators and days of wall-clock — how fast we train them is how fast we learn. As a Senior Staff Machine Learning Performance Engineer, you will own that speed: working with the modeling teams on their hardest bottlenecks, setting the technical direction for performance, and turning one-off wins into defaults — including the agentic workflows that find the next round of them automatically.</div> </div> </div> <div class="ace-line ace-line old-record-id-Byj3da2JfoTVYRx0fHccnCVDnFc"> </div> <div class="ace-line ace-line old-record-id-S9XzdmezIos4Xex4coRce9I9nmo"><strong>Job Responsibilities:</strong></div> <div class="ace-line ace-line old-record-id-S9XzdmezIos4Xex4coRce9I9nmo"> <div data-page-id="USHqdrW7JobKzdxurtfcqneJnpf" data-lark-html-role="root" data-docx-has-block-data="false"> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-doxcniNSct1dy6fOlTJcg5BCMId" data-list="bullet"> <div><strong>Training Performance at Scale:</strong> Own step time, scaling efficiency and long-run stability for foundation-model training across thousands of accelerators — from the data path to kernels, parallelism and communication.</div> </li> <li class="ace-line ace-line old-record-id-doxcnAeV35BmKLHdl3tB3aPekYX" data-list="bullet"> <div><strong>Cross-Team Technical Leadership:</strong> Work directly with the modeling, infrastructure, simulation, data-mining and robotics teams on their hardest bottlenecks, and set the performance direction those teams build against.</div> </li> <li class="ace-line ace-line old-record-id-doxcnnCyokaZUIbvB5B1l2LXrOV" data-list="bullet"> <div><strong>Reusable by Design:</strong> Turn one-off wins into modular components that become defaults across most models and workloads, rather than a patch that helps a single job.</div> </li> <li class="ace-line ace-line old-record-id-doxcnH0CUWCHIYqdy8Je4KfVdGb" data-list="bullet"> <div><strong>Observability at Scale:</strong> Extend performance tooling and metric coverage across the stack, while keeping instrumentation overhead low enough to stay on for production jobs fleet-wide.</div> </li> <li class="ace-line ace-line old-record-id-doxcnPZHK8uvuFUe5ghxq6J1wUg" data-list="bullet"> <div><strong>Agentic Automation:</strong> Build agents that reproduce any job on demand, verify numerical parity and separate a real regression from run-to-run noise — so that most of the optimizations that land are found and fixed by AI rather than by hand.</div> </li> </ul> </div> </div> <div class="ace-line ace-line old-record-id-S9XzdmezIos4Xex4coRce9I9nmo"><strong>Minimum Skill Requirements:</strong></div> <div class="ace-line ace-line old-record-id-S9XzdmezIos4Xex4coRce9I9nmo"> <div data-page-id="USHqdrW7JobKzdxurtfcqneJnpf" data-lark-html-role="root" data-docx-has-block-data="false"> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-doxcnsyUnfz4cGuRjzEOGrQhUWf" data-list="bullet"> <div>Master's or PhD in CS, CE or EE, or equivalent practical experience, with 8+ years of industry experience, the majority of it in performance engineering.</div> </li> <li class="ace-line ace-line old-record-id-doxcnBlAf7ExETMVS4yn0J9Irec" data-list="bullet"> <div>Hands-