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The Principal Data Engineer will define and manage data governance for pipelines, ensure data quality and compliance, and provide strategic insights for data-driven decisions. Responsibilities include collaborating with infrastructure teams, developing technical controls, and mentoring junior staff.

The Staff Embedded Software Engineer will lead embedded software projects, define architecture and documentation, mentor the team, and engage with stakeholders to understand product requirements. They will also plan and analyze risks for project deliverables while overseeing software development across various disciplines.

As a Principal Embedded ML Algorithm Engineer, you will design and implement algorithms and data pipelines for edge products, work with Machine Learning Research Scientists, propose system architectures, and lead strategies for embedded algorithm architecture and verification.

The Senior Cloud Developer will work on developing cloud services and customer features for Analog Devices' software products. Responsibilities include researching cloud technologies, implementing and integrating cloud solutions, and providing architecture and design guidance. The role requires strong collaboration and the ability to write, document, and test production code.

The Senior Software Engineer will develop production-ready software for automotive cabin connectivity technologies. Responsibilities include creating security-compliant embedded solutions, middleware for Ethernet protocols, testing software designs, optimizing existing software, and addressing performance issues, all while ensuring compliance with standards like ISO21434.

The Senior AI Engineer will focus on developing and productizing AI/ML models and solutions for a variety of applications. Responsibilities include participating in the AI solution development process, creating reusable code in machine learning frameworks, and staying updated with AI tool advancements.

The Staff AI Engineer will develop complex AI/ML models and solutions for Analog Devices, participating in all phases from ideation to production, while ensuring reusable functional code in machine learning frameworks.