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Leading foundry management product engineering team Enhancing product development and increasing yield through collaboration with the Foundry. Effectively managing all NPI issues across teams, ensuring adherence to schedule and guiding the transition to mass production. Producing meticulously organized characterization reports, analyzing data thoroughly to identify strengths and weaknesses in mass production implementation. Proficiently communicating with customers and vendors, adept at facilita

About the role The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products.

#About the Team Fazz’s Data Engineering teams are responsible for creating and maintaining the infrastructure that runs the company’s data pipeline, and optimizing the flow and collection of data for the critical business analytics and AI/data-driven solutions. The success of the team relies on the high engineering standard and the adoption of cutting-edge technology that empowers the organization to be agile. Data engineering forms the foundation to ensure that precious data

The Data Platform team enables our customers to ingest and perform real time analytics on critical security insights and intelligence data stored in our vast Data Lake and empower internal engineering teams to leverage the best datastore technology for their needs. Our Big Data technology stack consists of Kafka, Google PubSub, ClickHouse, Google BigQuery etc. We’re looking for software engineers with a background in distributed systems and are excited about the opportunity to work on large-scal

As a Product Lifecycle Management (PLM) Operations Analyst, you will be responsible for effective management of product data in the PLM system throughout the lifecycle of our consumer hardware products. You will work with the PLM Operations program manager to understand the PLM requirements for the product, manages the part numbers and bill of materials in the system and tracks the release of the changes in line with the product development process. You are well versed in PLM

1. Storage產品SI/PI量測與驗證 (PCIe,SATA,USB etc,..)。 2. 協同研發⼈員分析訊號品質不良原因。 3. 制定專案量測計劃書及程序書。 4. 規劃建置量測設備及治具。

NVIDIA is looking for Senior HPC/AI Solutions Architect to join its Professional Services team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills.

NVIDIA is looking for a Senior HPC Engineer to join its Professional Services team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role

Developing products and enhancing yield through Foundry Effectively managing NPI issues across teams, ensuring timely coordination and leading the transition to mass production Producing well-organized characterization reports, meticulously analyzing data to identify strengths and weaknesses in mass production implementation Proficiently communicating with customers and vendors, adept at facilitating tasks across internal teams and external parties Conducting advanced process and vendor evaluati

Google welcomes people with disabilities. Minimum qualifications: Bachelor's degree in Electrical/Industrial Engineering or equivalent practical experience 5 years of experience with computing, networking, or cloud product Experience analyzing data to improve manufacturing processes Experience with PC or server system, functional, and board level development and validation Preferred qualifications: Master's degree in Electrical Engineering, Physics, or related discipline Experience supporting pr