AI Infra Onboard Performance Intern

Job description

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<div class="ace-line ace-line old-record-id-NQ42dJ4jioHoG0x6JcZcZNTqngb"><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>
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<h4 class="heading-4 ace-line old-record-id-APAAdolhYoV05GxAnPccxMlxnGh"><strong>Key Responsibilities</strong></h4>
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<li data-section-id="1hqyjgq" data-start="0" data-end="90">Design and optimize software for deploying large-scale AI models in production vehicles.</li>
<li data-section-id="1xg3adc" data-start="91" data-end="175">Profile and improve inference performance across compute, memory, and I/O systems.</li>
<li data-section-id="1ktysvr" data-start="176" data-end="255">Reduce latency and improve power efficiency on embedded automotive platforms.</li>
<li data-section-id="1iz3r5" data-start="256" data-end="342" data-is-last-node="">Deliver production-ready optimizations that scale reliably across the vehicle fleet.</li>
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<h4 class="heading-4 ace-line old-record-id-APAAdolhYoV05GxAnPccxMlxnGh"><strong>Basic Qualifications</strong></h4>
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<li class="ace-line ace-line old-record-id-OTqZdDqKIo8LfXx4O1QcbxxenZf" data-list="bullet">
<div>Master's or PhD in CS/CE/EE or equivalent, with relevant industry or research experience.</div>
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<div>Strong expertise in C++ and Python, including performance-sensitive, production-quality code.</div>
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<li class="ace-line ace-line old-record-id-Dn8Kd6pMCoQCURx4EmvcSBB3nRe" data-list="bullet">
<div>In-depth understanding of computer architecture and high-performance computing (memory hierarchy, parallelism, vectorization, scheduling).</div>
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<li class="ace-line ace-line old-record-id-IhNTd3QXGoNoLXxg8AycPdrcnmc" data-list="bullet">
<div>Proven experience in application performance analysis and optimization, using profiling tools to diagnose and resolve bottlenecks.</div>
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<h4 class="heading-4 ace-line old-record-id-APAAdolhYoV05GxAnPccxMlxnGh"><strong>Preferred Qualifications</strong></h4>
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<div>Experience writing and optimizing CPU or CUDA kernels.</div>
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<div>Experience developing performance tooling and instrumentation (e.g., eBPF, perf, custom tracing/profiling frameworks) for production or embedded systems.</div>
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<div>Familiarity with embedded or automotive compute platforms (e.g., NVIDIA Orin, Drive) and their power/thermal constraints.</div>
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<div>Previous experience in the autonomous driving or robotics industry.</div>
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<div>Effective at solving complex problems collaboratively within larger cross-functional teams.</div>
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<div class="ace-line ace-line old-record-id-ExDodVceNonouCxJFFAcjryTnVh"><strong>What do we provide:</strong></div>
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<li class="ace-line ace-line old-record-id-FRKcdsexnoXrvcxUxfZcGQQZnQc" data-list="bullet">
<div>A fun, supportive and engaging environment.</div>
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<div>Infrastructures and computational resources to support your work.</div>
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<div>Opportunity to work on cutting edge technologies with the top talents in the field.</div>
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<div>Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.</div>
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<div>Competitive compensation package.</div>
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<div>Snacks, lunches, dinners, and fun activities.</div>
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<div class="ace-line ace-line old-record-id-QVuHdEbaPoIdCXxnPZycBc0gnBd">We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.</div>
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