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應(yīng)用研發(fā)工程師，激光部
[1090225]
招聘單位：通快（中國）有限公司
發(fā)布：[2026-02-25]
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職位信息 |
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| 職位名稱： | 應(yīng)用研發(fā)工程師，激光部 | 月薪水平： | 面議或未公開 |
| 工作性質(zhì)： | 全職 | 職位類別： | 電子/機(jī)械/工程類:機(jī)械工程師 |
| 工作地區(qū)： | 太倉市 | 作息制度： | 雙休 |
| 食宿情況： | [午餐] [提供工作餐] | 招聘人數(shù)： | 1人（當(dāng)前應(yīng)聘5人） |
| 福利待遇： | [社會(huì)保險(xiǎn)] [五險(xiǎn)一金] [通訊補(bǔ)貼] [帶薪年假] [員工旅游] [年終獎(jiǎng)金] [彈性工作] | ||
| 工作描述： |
As a member of the Laser Application Center R&D team, you will be responsible for designing and implementing deep learning and image-processing algorithms based on industrial laser processing inspection and process-monitoring data, and for building and maintaining AI platforms and data pipelines tailored to laser processes. The goal is to convert complex optical/process images and sensor data into reusable models and services that support process optimization and intelligent inspection for laser welding, cutting, surface treatment, and other laser applications. This role requires strong ownership, system-level thinking, and the ability to work independently in complex industrial environments. 作為激光應(yīng)用中心 R&D 團(tuán)隊(duì)的一員，您將負(fù)責(zé)基于工業(yè)激光加工檢測(cè)與過程監(jiān)測(cè)數(shù)據(jù)，設(shè)計(jì)并實(shí)現(xiàn)深度學(xué)習(xí)與圖像處理算法，搭建并維護(hù)面向激光工藝的 AI 平臺(tái)與數(shù)據(jù)管道。目標(biāo)是把復(fù)雜的光學(xué)/工藝圖像與傳感器數(shù)據(jù)轉(zhuǎn)化為可復(fù)用的模型與服務(wù)，支撐激光焊接/切割/表面處理等工藝優(yōu)化與智能檢測(cè)需求 該崗位需要較強(qiáng)的責(zé)任意識(shí)與系統(tǒng)思維，能夠在復(fù)雜工業(yè)環(huán)境中獨(dú)立推進(jìn)研發(fā)任務(wù)。 1. Design, develop and optimize PyTorch-based deep learning models for industrial imaging tasks such as defect detection, object segmentation, classification and temporal analysis, ensuring model robustness and real-time performance in industrial environments. 設(shè)計(jì)、開發(fā)并優(yōu)化基于 PyTorch 的深度學(xué)習(xí)模型，用于缺陷檢測(cè)、目標(biāo)分割、分類與時(shí)序分析等工業(yè)圖像任務(wù)，保證模型在工業(yè)場(chǎng)景下的魯棒性與實(shí)時(shí)性； 2. Develop preprocessing and augmentation algorithms for camera/sensor images and signals, and engineer image-processing modules for integration into the platform. 負(fù)責(zé)相機(jī)/傳感器圖像與信號(hào)的預(yù)處理與增強(qiáng)算法，并將圖像處理模塊工程化以便集成到平臺(tái) 3. Build and maintain pipelines for industrial laser data collection, annotation, storage and versioning; design data standards and labeling schemes to drive data quality control and traceability. 搭建并維護(hù)工業(yè)激光數(shù)據(jù)的采集、標(biāo)注、存儲(chǔ)與版本管理流程，設(shè)計(jì)數(shù)據(jù)標(biāo)準(zhǔn)與標(biāo)簽體系，推動(dòng)數(shù)據(jù)質(zhì)量控制與可追溯性； 4. Support on-site validation and pilot deployment of AI solutions together with application engineers, ensuring performance under real production conditions. 與應(yīng)用工程師協(xié)作，支持 AI 方案在真實(shí)產(chǎn)線和客戶現(xiàn)場(chǎng)的驗(yàn)證與試點(diǎn)部署，確保工業(yè)條件下的穩(wěn)定性與可靠性； 5. Prepare technical documentation, test reports and user manuals, and provide internal training and support for model/platform usage. 編寫技術(shù)文檔、測(cè)試報(bào)告與使用手冊(cè)，并對(duì)內(nèi)部用戶進(jìn)行模型/平臺(tái)使用培訓(xùn)與支持； 6. Track academic and industry developments, evaluate and introduce appropriate algorithms, tools and best practices to continually improve the platform. 跟蹤前沿學(xué)術(shù)與工業(yè)進(jìn)展，評(píng)估并引入適合的算法、工具與最佳實(shí)踐，不斷提升平臺(tái)能力。 |
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應(yīng)聘要求 |
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| 學(xué)歷要求： | 碩士 | 專業(yè)類別： | [機(jī)械/儀表類] [電子信息類] [材料類] |
| 詳細(xì)專業(yè)要求： | [機(jī)械設(shè)計(jì)與制造] [工業(yè)設(shè)計(jì)] [材料成型及控制工程] [計(jì)算機(jī)應(yīng)用技術(shù)] [電子信息工程] [材 | ||
| 適宜性別： | 不限 | 年齡要求： | 25歲 - 40歲 |
| 工作經(jīng)驗(yàn)： | 1年 | 戶籍要求： | 不限 |
| 外語能力： | 不限 | 計(jì)算機(jī)能力： | 精通辦公 |
| 技能資質(zhì)： | 不限 | ||
| 其它要求： |
Proficient in PyTorch, with hands-on experience implementing models from scratch, training and hyperparameter tuning, model compression/acceleration, and inference deployment. 熟練掌握 PyTorch，具備從零實(shí)現(xiàn)模型、訓(xùn)練調(diào)參、模型壓縮/加速與推理部署的實(shí)踐經(jīng)驗(yàn)； Familiar with industrial cameras, image-acquisition workflows, and common image formats; knowledgeable in camera calibration, distortion correction, and geometric transformations. 熟悉工業(yè)相機(jī)、圖像采集流程與常見圖像格式，了解相機(jī)標(biāo)定、畸變校正與幾何變換 Familiar with development in Python (proficient with numpy, OpenCV, PyTorch, etc.) and familiar with common data-processing and visualization tools. 能用 Python 進(jìn)行日常開發(fā)（熟練使用 numpy, opencv, torch 等庫），熟悉常用數(shù)據(jù)處理與可視化工具 Practical experience deploying algorithms or platforms in industrial laser welding/cutting/cleaning/surface-treatment projects is a prefered. 有在工業(yè)激光焊接/切割/清洗/表面處理相關(guān)項(xiàng)目中的實(shí)際算法或平臺(tái)落地經(jīng)驗(yàn)者優(yōu)先 Experience with deploying applications on AWS, Azure, or other major cloud platforms is a plus 有在 AWS、Azure 或其他主要云平臺(tái)上部署應(yīng)用的經(jīng)驗(yàn)者優(yōu)先 Experience with IP application 有專利申請(qǐng)經(jīng)驗(yàn)者優(yōu)先 |
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| 首次錄入時(shí)間： | 2026-01-21 09:30:38 | ||
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