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product development engineer

data engineer

崗位概述
現(xiàn)招聘產(chǎn)品開發(fā)工程師,主要負(fù)責(zé)制造現(xiàn)場產(chǎn)品開發(fā)落地與執(zhí)行工作。本崗位將與生產(chǎn)、質(zhì)量及工程團(tuán)隊(duì)緊密協(xié)作,推進(jìn)產(chǎn)品開發(fā)驗(yàn)證、工業(yè)化導(dǎo)入及量產(chǎn)爬坡;作為研發(fā)團(tuán)隊(duì)與工廠運(yùn)營之間的技術(shù)橋梁,確保從工程樣件到穩(wěn)定量產(chǎn)的全流程順利落地。
崗位職責(zé)
(一)現(xiàn)場產(chǎn)品開發(fā)與工程驗(yàn)證
?駐場支持中國生產(chǎn)基地產(chǎn)品開發(fā)工作,負(fù)責(zé)工程驗(yàn)證階段(EVT/DVT/PVT)的現(xiàn)場執(zhí)行
?將產(chǎn)品定義、圖紙及規(guī)格要求轉(zhuǎn)化為可執(zhí)行的生產(chǎn)作業(yè)指導(dǎo)文件
?主導(dǎo)工程驗(yàn)證與試產(chǎn)階段的現(xiàn)場問題排查,確保進(jìn)度、質(zhì)量及良率目標(biāo)達(dá)成
?推動(dòng)工廠向設(shè)計(jì)團(tuán)隊(duì)反饋可制造性設(shè)計(jì)(DFM)/可裝配性設(shè)計(jì)(DFA)建議,保障產(chǎn)品可量產(chǎn)性與可擴(kuò)展性
(二)跨部門協(xié)同
?與現(xiàn)場生產(chǎn)、工藝工程、設(shè)備工程及質(zhì)量團(tuán)隊(duì)緊密協(xié)作
?作為工廠團(tuán)隊(duì)與全球研發(fā)/產(chǎn)品團(tuán)隊(duì)之間的主要技術(shù)接口
?協(xié)調(diào)日常驗(yàn)證執(zhí)行、問題跟蹤與閉環(huán)處理
?協(xié)助開展供應(yīng)商協(xié)同工作,包括物料齊套、BOM準(zhǔn)確性及材料問題處理
(三)量產(chǎn)爬坡與生產(chǎn)支持
?支持產(chǎn)品量產(chǎn)爬坡與量產(chǎn)準(zhǔn)備工作,包括工藝驗(yàn)證與良率穩(wěn)定
?主導(dǎo)或協(xié)助開展量產(chǎn)爬坡階段產(chǎn)品及工藝問題的根本原因分析與糾正措施
?管理工程變更(ECR/ECN),確保在工廠端及時(shí)落地
?支持成本降低、良率提升及各類持續(xù)改善項(xiàng)目(8D、PDCA等)
?按需支持客戶審核、技術(shù)評審及問題解決
任職要求
(一)教育背景與工作經(jīng)驗(yàn)
?機(jī)械、電子、光學(xué)、制造工程等相關(guān)專業(yè)本科及以上學(xué)歷
?3–7年產(chǎn)品工程或制造工程相關(guān)工作經(jīng)驗(yàn),有汽車或消費(fèi)電子行業(yè)經(jīng)驗(yàn)者優(yōu)先
?英語口語可交流
?具備制造現(xiàn)場工程驗(yàn)證與量產(chǎn)支持的實(shí)操經(jīng)驗(yàn)
?熟悉生產(chǎn)制造流程、良率管理及現(xiàn)場執(zhí)行工作
?具備在工廠環(huán)境下開展跨部門協(xié)作的能力
?可根據(jù)業(yè)務(wù)需要出差
(二)核心能力
?優(yōu)秀的現(xiàn)場執(zhí)行力與責(zé)任心
?以制造落地為導(dǎo)向的工作思維
?結(jié)構(gòu)化問題解決能力與現(xiàn)場實(shí)操排查能力
?良好的跨工廠、跨全球團(tuán)隊(duì)溝通能力
?能夠在壓力下管理多個(gè)驗(yàn)證項(xiàng)目并合理安排優(yōu)先級
Report to: BU president
Base:Global (China Singapore)
Focuslight Technologies Inc.
Founded in 2007 headquartered in Xi’an, China, Focuslight Technologies Inc. is a fast-growing public company (Shanghai: 688167) that specializes in developing manufacturing high-power diode laser components materials, laser optics, as well as photonics module system solutions focusing on optical communication, consumer electronics, pan-semiconductor, automotive, medical health applications. Focuslight has expanded its global footprint through strategic acquisitions including LIMO GmbH in 2017 SUSS MicroOptics SA in 2024 (now as Focuslight SwitzerlSA). With the acquisition of assets from ams OSRAM in 2024, Focuslight extends its business to be a global photonics foundry by providing global photonics industry process development manufacturing service under the brof Heptagon.
Job Summary:
We are seeking a Product Development Engineer to support product development with a strong focus on on-site execution at the manufacturing sites. This role will work closely with manufacturing, quality, engineering teams to drive product development builds, industrialization, production ramp-up. The Product Development Engineer will act as the technical bridge between development teams factory operations, ensuring smooth execution from engineering builds to stable mass production.
Job Responsibilities:
?On-Site Product Development & Engineering Builds
?Support product development activities with on-site ownership of engineering builds (EVT/DVT/PVT) at China manufacturing sites.
?Translate product definitions, drawings, specifications executable manufacturing instructions.
?Lead on-site troubleshooting during engineering builds pilot runs to ensure schedule, quality, yield targets are met.
?Drive DFM/DFA feedback from factory to design teams to ensure manufacturability scalability.
?Cross-Functional Collaboration
?Work closely with manufacturing, process engineering, equipment engineering, quality teams on the shop floor.
?Act as the primary technical interface between factory teams global R&D / product teams.
?Coordinate daily build execution, issue tracking, closure fdevelopment ramp activities.
?Support supplier coordination related to parts readiness, BOM accuracy, material issues.
?Ramp-Up & Production Support
?Support product ramp-up mass production readiness, including process validation yield stabilization.
?Lead support root cause analysis corrective actions fproduct- process-related issues during ramp production.
?Manage engineering changes (ECR/ECN) ensure timely implementation at the factory.
?Support cost reduction, yield improvement, continuous improvement initiatives.issues (8D, PDCA, etc.).
?Support customer audits, technical reviews, issue resolution as required.
Qualifications & Requirements:
Education & Experience:
?Bachelor’s degree in Engineering (Mechanical, Electrical, Optical, Manufacturing, related field).
?3–7 years of experience in product manufacturing engineering, preferably in automotive consumer electronics industries.
?Hands-on experience supporting engineering builds production at a manufacturing site.
?Strong understanding of manufacturing processes, yield management, shop-floexecution.
?Proven ability to work cross-functionally in a factory environment.
?Willingness to travel according to business needs.
Key Competencies:
?Strong on-site execution ownership
?Manufacturing-first mindset
?Structured problem-solving hands-on troubleshooting
?Clear communication across factory global teams
?Ability to manage multiple builds priorities under pressure
更新于 2026-03-30
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Amazon Global Selling has been helping individuals businesses increase sales reach new customers around the globe. Today, more than 50% of Amazons total unit sales come from third-party selection. The Global Selling team in China is responsible frecruiting local businesses to sell on Amazon’s 19+ overseas marketplaces supporting local Sellers’ success growth on the Amazon. Our vision is to be the first choice fall types of Chinese business to go globally.
The Amazon Global Selling Analytics, Intelligence, Technology (AGS-AIT) team serves as the research, automation, insight arm of the International Seller Service data hub, enabling rapid delivery of growth insights through strategic investments in regional data foundations, self-service business intelligence solutions, artificial intelligence tools.
The AGS-AIT team is positioned to establish AI-ready foundational capabilities across the AGSganization while maintaining excellence in business insight generation, self-service BI/AI application development.

AGS-AIT is looking fa Data Engineer to collaborate with cross-functional teams to design develop data infrastructure analytics capabilities fAGS AI Automation initiatives.

Key job responsibilities
? Design implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, storage, supporting both real-time offline analytics needs.
? Develop automated data monitoring tools interactive dashboards to enhance business teams’ insights core metrics (e.g., user behavior, AI model performance).
? Collaborate with cross-functional teams (e.g., Product, Operations, Tech) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), build a unified data layer.
? Establish data standardization governance policies to ensure consistency, accuracy, compliance.
? Provide structured data inputs fAI model training inference (e.g., LLM applications, recommendation systems), optimizing feature engineering workflows.

Basic qualifications

1+ years of data engineering experience
Experience with data modeling, warehousing building ETL pipelines
Experience with one more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one more scripting language (e.g., Python, KornShell)

Preferred qualifications

Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM roles permissions
更新于 2026-01-26
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工資待遇區(qū)別

崗位名稱
平均工資
較上年
¥25.8K
--
說明:product development engineer和data engineer哪個(gè)工資高?product development engineer低于data engineer。product development engineer平均工資¥22.5K/月,2026年工資¥K,data engineer平均工資¥25.8K/月,2026年工資¥K,統(tǒng)計(jì)依賴于各大平臺(tái)發(fā)布的公開數(shù)據(jù),系統(tǒng)穩(wěn)定性會(huì)影響客觀性,僅供參考。

就業(yè)前景區(qū)別(歷年招聘趨勢)

崗位名稱
2025年職位量
較2024年
說明:product development engineer和data engineer哪個(gè)就業(yè)前景好?product development engineer2025年招聘職位量 27,較2024年增長了 59%。data engineer2025年招聘職位量 126,較2024年增長了 14%。統(tǒng)計(jì)依賴于各大平臺(tái)發(fā)布的公開數(shù)據(jù),系統(tǒng)穩(wěn)定性會(huì)影響客觀性,僅供參考。

學(xué)歷要求區(qū)別

本科 89.1%
碩士 7.3%
不限學(xué)歷 3.6%
說明:product development engineer和data engineer的區(qū)別? product development engineer需要什么學(xué)歷?本科占100.0%。 data engineer需要什么學(xué)歷?本科占89.1%,碩士占7.3%,不限學(xué)歷占3.6%。

經(jīng)驗(yàn)要求區(qū)別

5-10年 58.8%
3-5年 35.3%
1-3年 5.9%
5-10年 34.5%
3-5年 29.1%
不限經(jīng)驗(yàn) 20.0%
1-3年 14.5%
應(yīng)屆畢業(yè)生 1.8%
說明:product development engineer和data engineer的區(qū)別? product development engineer經(jīng)驗(yàn)要求哪個(gè)最多?5-10年占58.8%,3-5年占35.3%,1-3年占5.9%。 data engineer經(jīng)驗(yàn)要求哪個(gè)最多?5-10年占34.5%,3-5年占29.1%,不限經(jīng)驗(yàn)占20.0%,1-3年占14.5%,應(yīng)屆畢業(yè)生占1.8%。

data engineer與其他崗位進(jìn)行PK