Lenovo
AI模型部署工程师(自动驾驶)
Skills
1 month ago
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Important information
Location:
Shanghai, China
Work mode:
Onsite
Published on:
13 September 2026
What they need
General Information
Req #
100017604
Career area:
Research/Development
Country/Region:
China
State:
Shanghai
City:
上海(Shanghai)
Date:
Friday, September 11, 2026
Additional Locations:
- China
Why Work at Lenovo
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
To find out more visit www.lenovo.com and read about the latest news via our StoryHub.
Description and Requirements
岗位职责:
负责自动驾驶 AI 模型在车载异构计算平台(英伟达DRIVE、高通Ride、地平线Journey、新芯航途BMC等)上的端到端部署,覆盖模型转换、量化、编译、运行时适配的完整技术链路
基于 TensorRT、QNN / SNPE、BPU SDK 等推理框架,完成算子适配与自定义算子开发,针对推理延迟、内存占用、吞吐量等核心指标进行系统性调优
定位并解决模型部署全流程中的工程问题,包括但不限于精度损失、算子不支持、内存超限、多模型并发调度冲突等,推动问题从排查到闭环的完整解决
设计并开发部署辅助工具链,涵盖精度逐层对比、性能 Profiling 可视化、算子兼容性扫描等工具,提升团队部署效率与问题可观测性
对接底软、硬件及集成测试团队,完成模型在完整车载软件栈中的系统联调与版本交付
岗位要求:
本科及以上学历,计算机、电子、自动化等相关专业,3年以上 AI 模型部署或推理优化经验,有车载、机器人或其他嵌入式平台量产部署经历者优先
熟悉主流深度学习框架(PyTorch / ONNX),熟练掌握至少一种车载推理框架(TensorRT、QNN / SNPE、BPU SDK 等),深入理解其编译与运行时机制
具备 INT8 / FP16 量化、算子融合、计算图优化等实际调优经验,能够独立完成精度与性能的量化分析,并在二者间做出合理的工程权衡与决策
熟练使用 Python 与 C / C++,具备独立设计并交付工程化工具或自动化流水线的能力
具备较强的问题拆解与定位能力,能在信息不完整、多因素耦合的情况下系统性排查复杂部署问题
具备良好的跨团队沟通协作能力
加分项:
熟悉 BEV、多模态融合、大模型端侧部署等前沿模型结构,具备 Transformer 类模型的推理优化实践
有工程工具或可视化平台的设计与开发经验
Additional Locations:
China
China
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