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A.I. technology/application research, design and development. Software engineering and scrum software development. Initial, innovate, develop and introduce Intelligent Manufacturing Solutions. System analysis, design, development and integration for cross organizations/systems projects.

Re sponsibilities Lead the architectural migration of services to Kubernetes on GKE, focusing on efficiency and scalability. Enhance operational aspects of infrastructure, including deployment, logging, monitoring, and alerting systems. Develop best practices for production infrastructure management: provisioning, scaling, configuration, and monitoring. Establish robust CI/CD pipelines and development processes to support engineering workflows. Collaborate with the engineering team to address lo

Key Responsibilities - Understand, research, and resolve internal and external application and systems issues of moderate difficulty. Independently learn and investigate customer's high value problem (HVP), systematic bug or systematic software failures. - Create, test, and verify installation/upgrade instructions for Applied Materials’ product releases. - Participates in product design, testing and documentation reviews as appropriate. Participate in user conferences. - Provide off-hours custom

Design and development of intelligent manufacturing solutions for factory automation, manufacturing scheduling and dispatching, decision making and engineering analysis. Heterogeneous data integration and corresponding solution design and development. Server maintenance and related setting supports, including routine upgrade, troubleshooting with AP teams, high-availability architecture, virtual machines solutions, firewall rule, IIS, Nginx, database middle etc. Engineering defense systems manag

*** If you're interested in this position, please email your English resume to HR Janet. ([email protected]) *** 【About Us】 SHL Medical is the world-leading solution provider in the design, development, and manufacturing of advanced drug delivery systems with more than 5000 employees worldwide. Our customers include top pharmaceutical and biotech companies from around the globe that require innovative devices such as auto injectors or pen injectors to effectively deliver their

A.I. technology/application research, design and development. Machine learning, statistical training, and deep learning development. Initial, innovate, develop and introduce Intelligent Manufacturing Solutions. System analysis, design, development and integration for cross organizations/systems projects.

Understanding business objectives of customers and eliciting requirements Formulating real world problems into corresponding solvable abstract representations Evaluating edge design that are feasible to deal with a given problem Developing and deploying intelligent edge product / machine learning into production Integrating intelligent edge automation / machine vision systems Tracking product performance in the field and driving continual performance improvements

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

Google welcomes people with disabilities. Minimum qualifications: Bachelor's degree in Engineering or equivalent practical experience. 2 years of experience with technical writing, instructional design, or related fields, with a focus on technical communication for hardware, systems, or software engineering. Experience reading source code written in Java, C++, Python, or JavaScript. Ability to communicate in English and traditional Chinese fluently to write and review technical content. Preferre

的每個成員。如果你和我們一樣都是一位技術粉並追求簡單透明的公司的文化，那趕緊加入我們一起探索雲計算吧！ Responsibilities: - Develop microservices of the company's core business systems. - Transform and optimize existing business API microservice architecture. - Build clean and high quality code, keeping high Maintainability including readability, testa