Media Sputter process Engineer at Western Digital

Shenzhen, Guangdong Province, China -

Full Time

Start Date

Immediate

Expiry Date

15 Jul, 26

Salary

0.0

Posted On

16 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Linux, Docker, MySQL, Large Language Models, vLLM, LangChain, RAG, Prompt Engineering, CUDA, NVIDIA GPUs, Time Series Forecasting, Manufacturing Processes, Semiconductor Industry, Data Analysis, Process Optimization

Industry

Computer Hardware Manufacturing

Description

公司介绍 At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. 职位描述 Prepare and maintain work instructions, process specifications, and change documents for sputter processes to ensure compliance with corporate quality systems and customer requirements Establish and continuously optimize CPK and process windows for critical parameters to ensure stable, consistent, and repeatable mass production processes Complete deployment and optimization of large models (vLLM/Qwen), AI Agents, WebUI, and MySQL integration Daily maintenance: service stability, GPU resources, model inference, database integration, log monitoring Iterative optimization: Agent capabilities, Prompt engineering, RAG, time series forecasting, production line data integration Production line integration: Understand coating processes and implement AI capabilities for production optimization Linux Systems: Proficient in Ubuntu, command line, Shell, Docker, docker-compose Large Model Deployment: vLLM, Open WebUI, local LLMs (Qwen/Llama/ChatGLM), model quantization (GPTQ/AWQ) AI Agent: LangChain/LangGraph, RAG, prompt engineering, tool calling Database: MySQL (SQL writing, connection, optimization, transactions); time series databases (InfluxDB/TDengine) are a plus Programming: Proficient in Python (FastAPI/Flask, Pandas, PyMySQL); knowledge of C++/CUDA is a plus GPU and Computing Power: CUDA, NVIDIA GPUs (H100/H200/A100), multi-GPU scheduling, memory optimization Industrial Scenarios: Familiarity with manufacturing/semiconductor/coating processes, PLC/production line data, MES/database integration is preferred 职位要求 Education: Bachelor’s degree or above (majors in Computer Science, Automation, Electronics, Mathematics, AI-related fields; Master’s preferred) Experience: 2–5 years (1–3 years for outstanding candidates; industrial AI/large model implementation experience preferred) Able to independently complete end-to-end deployment and troubleshooting of large models + Agents + databases Understand system stability, monitoring, logging, backup, disaster recovery Able to translate business requirements (coating process optimization) into AI capabilities Good communication skills, able to coordinate with production line engineers and technical teams Experience with industrial AI implementation projects (intelligent manufacturing, semiconductors, coating, chemical, etc.) Experience with local large model private deployment (no API, intranet security) Familiarity with time series forecasting (Moirai/Chronos, LSTM, Transformer) Experience with GPU clusters/multi-GPU scheduling Understanding of manufacturing databases/PLC/OPC UA 额外信息 WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected]. Business Function: Manufacturing Engineering Work Location: Shenzhen Futian 1 Office--LOC_HGST_Futian1

Responsibilities

The role involves managing sputter process documentation and optimizing production parameters to ensure stable manufacturing quality. Additionally, the engineer will deploy and maintain AI models, agents, and database integrations to enhance production line efficiency.