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The Principal AI/Machine Learning Engineer will lead the adoption of AI/ML in manufacturing by defining use cases, driving implementation, and ensuring organizational readiness.

The Principal Storage Architect will develop innovative storage solutions, assess industry trends, coordinate vendor engagements, and enhance product roadmaps to meet customer needs.

The role involves managing the Quality Management System, leading quality audits, ESD prevention, data analysis for continuous improvement, and cross-functional collaboration to ensure quality in manufacturing processes.

The Revenue Accounting Analyst manages revenue cycle activities, ensures compliance with ASC 606, prepares financial entries, and conducts analysis and reporting to support accurate revenue forecasts and audits.

The Principal Technical Program Manager leads server platform programs, managing product development, execution, cross-functional teams, and communication with stakeholders while ensuring project milestones are met.

The Staff Customer Operations Analyst manages inventory operations, collaborates on supply chain activities, analyzes data for improvements, and communicates with stakeholders to meet business needs.

The Senior FP&A Analyst manages financial planning and reporting, conducts variance analysis, develops financial models, identifies risks, and leads budgeting processes while collaborating with various departments.

Drive continuous improvement and operational excellence for manufacturing test and repair processes. Standardize test practices across sites, analyze test/repair data, lead CI initiatives to improve yield, cycle time, throughput, and repair effectiveness, support NPI readiness, develop test operations tools/dashboards, and coordinate cross-functional resolution of production test issues.

The HR Generalist will support employee relations, payroll, recruitment, policy implementation, and training for a manufacturing organization. They will collaborate with various teams and oversee HR functions for over 1,000 employees.

Design and execute reliability test regimens for cloud infrastructure servers using Design for Reliability principles. Develop scripts and statistical models to predict and improve hardware reliability, collaborate with program management, vendors, and design engineering, and create reliability guidelines to reduce field failures and meet product reliability goals.