Software Development Engineer on the AI Infrastructure Team at Ring, focusing on cloud services for machine learning operation pipelines that handle large-scale data and enable rapid model development and optimization.

This role is for a Data and AI Cloud Architect on the AWS Professional Services team in Taiwan, focusing on the manufacturing and semiconductor industries. The architect will design and implement modern data platforms, analytics solutions, and AI/ML workloads on AWS, acting as a trusted technical advisor to enterprise customers. Key responsibilities include leading architecture design, building end-to-end data architectures, architecting AI/ML solutions using AWS services like SageMaker and Bedrock for industry-specific use cases, collaborating with stakeholders on data strategies, mentoring junior consultants, and developing reusable assets. The role also involves partnering with AWS teams, contributing to thought leadership, and staying current with data engineering, analytics, and generative AI trends. Basic qualifications include experience conveying technical concepts, a relevant degree or equivalent experience, 8+ years in data/cloud architecture with 5+ years on AWS, deep expertise in data platform technologies (Python, SQL, Spark, Scala), and fluency in Mandarin and English. Preferred qualifications include experience with large-scale transformation programs, domain expertise in manufacturing/semiconductor industries, knowledge of Industry 4.0, experience with generative AI architectures (RAG, fine-tuning, agents), and familiarity with Taiwan's data privacy regulations.

This role focuses on designing and implementing data and AI/ML solutions on AWS for enterprise customers in the manufacturing and semiconductor industries. The architect will lead the design of end-to-end data architectures and AI/ML solutions, focusing on use cases like predictive maintenance and yield optimization. Experience with generative AI architectures, RAG, fine-tuning, and AI agents is preferred.

This role focuses on designing and implementing data and AI solutions on AWS for enterprise customers in the manufacturing and semiconductor industries. The architect will lead the design of end-to-end data architectures and AI/ML solutions using AWS services, with a specific emphasis on generative AI architectures like RAG, fine-tuning, and AI agents. The role involves collaborating with stakeholders, mentoring junior architects, and developing reusable assets.

Senior Software Development Engineer focused on developing and deploying edge AI solutions with a specialization in computer vision for consumer devices. The role involves designing and implementing efficient edge AI architectures, collaborating with applied science and cloud teams, and optimizing system performance.

This role focuses on designing and implementing cloud-based analytics solutions on AWS, including data warehousing, data lakes, and real-time analytics. The specialist will help customers build data foundations for advanced analytics, ML, and AI, bridging data engineering and data science to enable feature engineering, experimentation, and model training data pipelines at scale.

Senior Solutions Architect focused on helping hi-tech and semiconductor companies adopt AWS cloud technologies, with a specific emphasis on Generative AI and agentic AI solutions for chip design and product development. The role involves technical engagement, cloud modernization, and driving customer outcomes with AI.

Senior Solutions Architect focused on helping hi-tech and semiconductor companies adopt AWS cloud technologies, with a specific emphasis on Generative AI and agentic AI solutions for chip design and product development. The role involves technical engagement, cloud modernization, and driving customer outcomes with AI.

This role focuses on designing and implementing secure, compliant, and scalable cloud architectures for public sector customers in Taiwan, with a strong emphasis on Generative AI and Agentic AI solutions using services like Amazon Bedrock and Kiro. The Solutions Architect will act as a trusted technical advisor, guiding customers from discovery and design through to implementation and launch, while navigating complex regulatory and data sovereignty requirements.

This role focuses on architecting and implementing AI-powered solutions, particularly Generative AI and Agentic AI, for retail and e-commerce customers using AWS services. The Solutions Architect acts as a trusted technical advisor, leading customer engagements from discovery to production launch, with a strong emphasis on leveraging AWS capabilities to drive business transformation and customer experience improvements.

Solutions Architect for AWS focusing on hi-tech and semiconductor clients, driving adoption of cloud technologies including GenAI and agentic AI. Responsibilities include cloud modernization, optimizing workloads, architecting solutions for engineering tasks, and accelerating customer outcomes with AI/ML.

This role is for a Senior Solutions Architect at AWS who will help customers adopt and implement GenAI and agentic AI solutions on the AWS platform. The role involves technical engagement, architectural guidance, and driving customer success with AI technologies, focusing on migration, modernization, and security.

This role is for a ProServe Cloud Architect on AWS Professional Services in Taiwan. The architect will design, architect, and implement cloud solutions on AWS for customers, acting as a trusted technical advisor. Key responsibilities include solution architecture, customer engagement, cloud migration, conducting Well-Architected Reviews, technical delivery, advising on emerging technologies like generative AI, and supporting pre-sales efforts. The role requires strong AWS expertise and experience in IT architecture and cloud solutions, with exposure to AI/ML services being a preferred qualification.

Software Development Engineer role focused on building next-generation embedded systems for home security, with a significant emphasis on leveraging and developing AI agents and Generative AI tools to revolutionize software development workflows. The role involves working with AI-powered development tools and contributing to AI-driven development practices within a consumer product context.

Software Development Engineer role focused on building next-generation embedded systems for home security, with a significant emphasis on leveraging and developing AI agents and Generative AI tools to revolutionize software development workflows. The role involves working with AI-powered development tools and contributing to AI-driven development practices within a consumer product context.

This role is for a Senior Technical Program Manager within AWS Infrastructure Services, focusing on manufacturing operations and industrial engineering for AWS rack fulfillment. The individual will be responsible for factory layout and material flow design, capacity planning, automation engineering, and ensuring manufacturing infrastructure scales efficiently. The role involves collaborating with various teams to deliver high standards of safety and security while optimizing cost and capacity for AWS hardware platforms, including EC2, Machine Learning, and Storage.

Senior Test Engineer role focused on the development and testing of next-generation System-on-Chips (SOCs) for machine learning-enabled consumer products. Responsibilities include first silicon debug, defining test program flows, yield analysis, and supporting manufacturing test stages.

Amazon is seeking an ASIC Test Engineer to develop tests and oversee production of their AI training chips (Trainium). The role involves hardware and software development for testing, NPI support, and high-volume production troubleshooting. Requires a Bachelor's degree in Electrical Engineering, experience with debugging, SoC verification, specific test equipment (Advantest 93K, Teradyne IGXL), and C/C++ or VBA/VBT.

Manufacturing Engineer for AWS Trainium (ML accelerator) hardware, focusing on quality, reliability, and manufacturing processes with ODMs/CMs in Asia. Responsibilities include test validation, process improvement, line qualification, risk assessment, and root cause analysis for production and supplier defects.