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Silicon Photonics TD Quality and Reliability Engineer page is loaded. Silicon Photonics TD Quality and Reliability Engineer. As a Silicon Photonics (SiPh) Technology Development Quality and Reliability Engineer (QRE), you will be at the forefront of silicon photonics technology development and work closely with the SiPh fab process integration, Silicon Photonics Product Division (SPPD) R&D design team, and others to assess reliability for our new SiPh device technologies, process certification, and product qualifications.
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The Data Manager oversees the studies to drive innovative database building, data collection, tracking and review solutions from complex, diverse sources to ensure timely delivery of high-quality data in a regulated and changing global clinical trial environment.
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Reporting to the Manager, Quality Programs, the quality engineer will lead and participate in a wide variety of initiatives to ensure high product reliability and performance. Perform problem solving activities through data analysis of quality issues by prioritizing top issues, conducting root cause investigation, developing and implementing preventive & corrective actions with cross-functional teams.
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Lead initiatives aimed at improving quality, schedule, consistency or reducing costs to in-flight and future data center construction and improvement projects. The Structural Engineer in DCES provides the global vision, rationale and recommendations to leadership teams for next-generation data center structural design and remediation on new and existing sites, while ensuring current structural systems meet performance and operational standards.
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The Structural Engineer in DCE-CSAS provides the global vision, rationale and recommendations to leadership teams for next-generation data center structural design and remediation on new and existing sites, while ensuring current structural systems meet performance and operational standards.
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The Senior DataOps Engineer is well versed in data management, integration, architecture, and technology principles and has a proven track record of partnering with Architecture, Data Engineering and Operations teams to shape data operations patterns that support Kiewit’s Data Strategy while also meeting stated operational availability, risk, and cost mitigation expectations.
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Must possess the ability to Input & Analyze Data, identify trends & communicate to Metrology Engineer and Quality Manager. Bocar US, Inc. is a high-end technology and quality-driven automotive company which produce high-pressure aluminum die casting, and machining for companies such as Daimler, Ford, and Toyota.
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Ensure data infrastructure offers reliable, high-quality data with consistent SLAs, sound monitoring, alerting, incident response, and continual investment to reduce tech debt. Data Infrastructure Engineer.
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Develop, optimize, and manage data pipelines for ETL processes using azure Databricks, with a focus on data integrity and quality. Job Title: Data Platform Engineer with Databricks and Unity Catalog (Only W2.
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As such, First Quality provides at least annual training regarding data privacy and security to employees who, as a result of their role specifications, may come in to contact with sensitive data.
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The Additive Manufacturing Quality Engineer will act as the command center for all data and trends related to 3D printing development and production performance. Divergent Technologies, Inc is currently seeking a highly skilled, experienced Quality Engineer to join our growing organization.
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Job Segment: Cloud, Manager, Data Center, Engineer, Technology, Management, Engineering. Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Minimum of 2 years of experience working as a Quality Engineer, Product Engineer, Process Engineer, Manufacturing Engineer, or Industrial Engineer and a Bachelor's Degree in Engineering, Science, Math, or Statistics, or an equivalent combination of education and experience.
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KNOWLEDGE: An experienced professional with an understanding of data analysis, quality control and MEMs/Semiconductor processing. Initiate and support production yield and quality improvement including data gathering/ interpretation, data visualization and defect analysis.
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We are seeking candidates interested in research and development of advanced technologies in Data-centric AI, including capture, management, search, enhancement and interpretation of meta-data and lineage for hybrid AI and HPC (high performance computing) pipelines that enable reproducibility and reuse of pipelines, discovery, selection and usage of relevant high quality data for trustworthy AI outcomes across multiple AI and HPC-AI applications, specifically in AI for Science workflows.
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