Thiết kế và triển khai thiết bị lắp ráp, đo lường tự động cho sản phẩm Apple, từ concept đến sản xuất hàng loạt tại Hà Nội.
Yêu cầu
Đại học trở lên ngành Cơ khí hoặc kỹ thuật liên quan
Tối thiểu 3 năm kinh nghiệm thiết kế thiết bị tự động và quy trình sản xuất
Thành thạo DOE, phân tích lỗi, SPC và đọc bản vẽ GD&T
Giao tiếp tiếng Anh viết và nói tốt, làm việc độc lập trong môi trường toàn cầu
Trách nhiệm
Thiết kế end-to-end thiết bị và đồ gá tự động, bán tự động từ concept đến sản xuất
Làm việc với nhà cung cấp máy và nhà máy: RFQ/RFP, design review, FAT/SAT
Đánh giá năng lực máy: Cp/Cpk, GR&R, GD&T, DOE, SPC, Six Sigma
Phân tích lỗi yield và độ tin cậy, đề xuất hành động khắc phục
Có thì tốt
Kiến thức khí nén, servo, robot 4/6 trục, PLC, thị giác máy AOI/CCD
JMP, Six Sigma, Python; phân tích dung sai; NX CAD
Tiếng Việt và tiếng Trung được đánh giá cao
Tóm tắt bằng AI từ JD gốc, đọc JD gốc trước khi ứng tuyển.
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
The people here at Apple don’t just create products - they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
Join Apple, and help us leave the world better than we found it!
As an Advanced Manufacturing Engineer, you will design, develop, and scale precision assembly and measurement processes that directly shape the quality and reliability of Apple products.
You'll lead the research and development of novel automation technologies, own complex engineering challenges from concept through high-volume production, and collaborate with cross-functional teams and global manufacturing partners to continuously raise the bar.
Own end-to-end design, development, and bring-up of automated and semi-automated manufacturing equipment and fixtures, covering precision alignment, assembly, and measurement applications from concept through high-volume production
Define equipment design requirements through detailed RFQ/RFPs; lead design reviews with machine suppliers throughout development, bring-up, and post-ramp improvements
Provide technical direction to third-party automation suppliers and contract manufacturers; travel to supplier facilities and factories for equipment bring-up, acceptance testing, and production builds
Engage early and continuously with product development teams to ensure new designs are mechanically manufacturable at scale; conduct machine DFM reviews and establish SOPs and assembly standards across the full product lifecycle
Lead machine qualification activities including FAT/SAT, Cp/Cpk, GR&R, and GD&T analysis; apply DOE, SPC, and Six Sigma to validate process scalability and control
Run structured experiments to characterize machine capability and drive measurable improvements in throughput, yield, and downtime
Drive failure analysis on yield detractors and reliability issues from equipment and process perspectives; compile data, develop corrective actions, and communicate findings to multi-functional stakeholders
Organize cross-functional reviews spanning machine requirements, design, qualification, and long-term capability
Support warehouse automation process development across APAC distribution centers
Minimum qualifications
Bachelor's or higher degree in Mechanical Engineering or relevant engineering fields
Minimum 3 years experience in automation equipment design, machine qualifications, and advanced manufacturing process
Strong written and verbal communication skills in English, with the ability to work effectively in a global environment and operate independently under pressure
Preferred qualifications
Knowledge of pneumatics, servo motors, robotics (4/6-axis), glue/adhesive dispensing, AOI/CCD (vision/laser), pick-and-place, PLCs, and PC-based control systems is a plus
Proven experience with DOE, failure analysis, and statistical process control; ability to read and interpret engineering drawings including GD&T
Experience with JMP and Six Sigma methodologies; Python scripting for data analysis and automation is a plus
Familiarity with machine learning concepts and an understanding of how ML/AI can be leveraged for smart manufacturing applications
Proficiency in tolerance analysis for parts and assemblies
NX CAD experience is a plus
Vietnamese and Mandarin language skills are highly preferred