Lead equipment upgrades, machine conversions, and technology improvements to support next-generation HDD product requirements.
Manage new equipment installation, commissioning, and acceptance testing to ensure systems meet operational, safety, and process specifications before production release.
Monitor and analyze equipment performance, reliability, and OEE data to identify improvement opportunities and drive operational excellence.
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Perform routine preventive maintenance per PM schedule. Conduct routine maintenance checks and services on all production equipment.
Document routine preventive maintenance on PM checklists, record data if applicable and maintain completed checklist/history in tool maintenance system.
Perform regular inspections and maintenance on production machine to ensure optimal performance. Diagnose and repair mechanical, electrical, and control system issues.
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Lead equipment upgrades, machine conversions, and technology improvements to support next-generation HDD product requirements.
Manage new equipment installation, commissioning, and acceptance testing to ensure systems meet operational, safety, and process specifications before production release.
Monitor and analyze equipment performance, reliability, and OEE data to identify improvement opportunities and drive operational excellence.
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At our core, WD 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, WD is fueling a brighter, smarter future.
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Own full software development lifecycle (SDLC) from requirements analysis, solution design, development, testing, deployment, and post-production support.
Identify, troubleshoot, and resolve complex software, ensuring optimal system performance and user experience.
Design and maintain robust database structures (SQL Server, Oracle DB, MySQL) and data pipelines to support manufacturing analytics and operational reporting.
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Own full software development lifecycle (SDLC) from requirements analysis, solution design, development, testing, deployment, and post-production support.
Identify, troubleshoot, and resolve complex software, ensuring optimal system performance and user experience.
Design and maintain robust database structures (SQL Server, Oracle DB, MySQL) and data pipelines to support manufacturing analytics and operational reporting.
...
Own full software development lifecycle (SDLC) from requirements analysis, solution design, development, testing, deployment, and post-production support.
Identify, troubleshoot, and resolve complex software, ensuring optimal system performance and user experience.
Design and maintain robust database structures (SQL Server, Oracle DB, MySQL) and data pipelines to support manufacturing analytics and operational reporting.
...
Lead equipment upgrades, machine conversions, and technology improvements to support next-generation HDD product requirements.
Manage new equipment installation, commissioning, and acceptance testing to ensure systems meet operational, safety, and process specifications before production release.
Monitor and analyze equipment performance, reliability, and OEE data to identify improvement opportunities and drive operational excellence.
...
Lead equipment upgrades, machine conversions, and technology improvements to support next-generation HDD product requirements.
Manage new equipment installation, commissioning, and acceptance testing to ensure systems meet operational, safety, and process specifications before production release.
Monitor and analyze equipment performance, reliability, and OEE data to identify improvement opportunities and drive operational excellence.
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Lead major equipment upgrades, system redesigns, automation integration, and machine conversion programs to enhance manufacturing capability and productivity.
Provide technical leadership for new equipment development, factory expansion projects, equipment qualification, commissioning, and production ramp activities.
Collaborate closely with Process Engineering, Yield Engineering, Production, Quality, Facilities, and Global Engineering teams to achieve manufacturing and technology objectives.
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Ensuring that all relevant insights are captured and processed in a timely and accurate manner. This is to be achieved by collaborating closely with various business partners.
Evaluating procurement and supply chain insights, identifying and pursuing missing data and working to improve the quality of data. Make recommendations and ensure clear communication of requirements through the supply chain. Assess and communicate risks.
Preparing and issuing relevant data for reporting purposes, audit and cost/ benefit analysis.
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Collaborate in cross-functional teams to integrate AI/ML algorithms, image analytics and software into the Analytics systems (including chatbot/AR/Computer Vision) as well as develop prototypes.
Design, develop, deploy and maintain Analytics Systems/solutions (Data engineering, Data Science, Chatbot, AI, Generative-AI, MCP, n8n, AR, Computer vision and Visualization/Web App) independently and delivered on time.
Meeting users, gathering user requirements and communicating requirements to a technical team member for technical solution design, feasibility study & planning.
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Ensuring that all relevant insights are captured and processed in a timely and accurate manner. This is to be achieved by collaborating closely with various business partners.
Evaluating procurement and supply chain insights, identifying and pursuing missing data and working to improve the quality of data. Make recommendations and ensure clear communication of requirements through the supply chain. Assess and communicate risks.
Preparing and issuing relevant data for reporting purposes, audit and cost/ benefit analysis.
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