A global semiconductor firm based in Limerick is seeking a Portfolio Performance Management Lead to oversee R&D initiatives. This role involves standardizing processes, ensuring data integrity across projects, and delivering analytics for key reporting. Candidates should have a degree in Business or relevant fields, alongside experience in portfolio management or analytics. Strong analytical skills and proficiency in BI tools are essential. The position requires occasional travel. Competitive compensation and opportunities for advancement are provided. #J-18808-Ljbffr
About Analog Devices Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X). R&D Portfolio Performance Management Lead, EPMO Role Overview The Enterprise Portfolio Management Office owns the health and integrity of Portfolio Performance Management, driving R&D data analysis, business insights, KPI/metric tracking. The role drives a systematic approach to ensuring operating discipline, delivers analytics & insights for key reporting deliverables and supports rollout of portfolio initiatives (including automation/AI). Key Responsibilities Lead PRISM Execution Excellence operating model to set and drive standards across all R&D portfolios, ensuring Data Integrity and real time project health monitoring through the project exception process. Drive standardisation across portfolios by aligning project managers and stakeholders on minimum standards, adoption expectations, and compliance escalation paths. Identify and lead improvements in existing processes and methodologies, piloting updates, documenting the new approach, and tracking adoption/benefit. Compile regular stakeholder updates delivering a view of enterprise project and program activity, including performance to metrics and insights in the areas of customer success, time to revenue, new product productivity, and R&D efficiency. Drive rollout and adoption of portfolio initiatives, track monthly adoption metrics, and prepare actionable leadership reporting. Maintain critical portfolio data integrity including Big Bet data trends and related governance; reconcile variances and drive corrective actions with owners. Deliver analytics for key reporting deliverables: trends, risks, dependencies, and recommended actions; translate complex data into crisp narratives that enable decisions. Qualifications Bachelor’s degree in Business, Engineering, Operations or other relevant. Experience in portfolio/program/project operations, analytics, or PMO/PPM environments with clear end-to-end ownership. Experience in process improvement and change adoption. Knowledge of automation and AI-enabled workflows. Ability to build strong partnerships and collaborate effectively across the enterprise to drive change. Strong analytical capability and experience with dashboards/BI tools (e.g., Power BI/Qlikview). Track record of driving operating discipline (compliance, standards, governance) while maintaining a service-oriented approach. Strong written and verbal communication; able to deliver concise, executive-ready reporting and recommendations. Strong planning and organization skills; must be able to set and manage priorities, adapt to change, drive progress of activities and deliverables to closure. For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. Job Req Type: Experienced Required Travel: Yes, 10% of the time Shift Type: 1st Shift/Days #J-18808-Ljbffr
Senior Engineer, Embedded Software Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay ahead of what’s possible. Role Overview As a key contributor to our development team, you’ll play an integral role across all stages of product design, development, maintenance, actively participating in feasibility, requirement, architecture, design, implementation, integration, and verifications. You will be positioned within a multi-site development team and will be working closely with system, analog, digital, verification, and customer application teams. Responsibilities Contribute to the development of platform drivers, hardware abstraction layers, and server/client architectures for Analog Devices Integrated chips Design and implement shared software libraries Develop, test, and maintain device drivers, embedded firmware, platform drivers, hardware abstraction layers, and GUI components for Analog Devices platforms Participate in code reviews and help refine software standards and best practices Deliver high-quality code and documentation to ensure optimal stakeholder and customer satisfaction Develop test scripts for logical and functional validation of software components Create unit and functional tests to validate software performance and reliability Work within Agile development workflows and contribute to sprint planning and execution Prepare training materials and technical documentation as needed Collaborate with cross‑functional teams including silicon designers, FPGA engineers, application engineers, and fellow software developers Ensure software quality meets the high standards required for internal and customer‑facing applications Target platforms include Windows PCs (for GUI and DLL development) and embedded systems running Linux Adhere to coding standards and documentation protocols throughout the development lifecycle Required Knowledge Proficiency in C, C++, and C# Strong grasp of object‑oriented programming and design patterns Familiarity with electronics and signal processing is a plus Experience with XML, C#, and Microsoft Visual Studio Comfortable working in Agile environments; experience with Scrum and JIRA is preferred Qualifications Bachelor’s degree or higher in Computer Science, Electrical Engineering, Computer Engineering, or a related discipline Excellent communication skills in English, both written and verbal Strong team orientation and collaborative mindset For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce – Bureau of Industry and Security and/or the U.S. Department of State – Directorate of Defense Trade Controls. As such, applicants for this position – except U.S. Citizens, U.S. Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. Job Req Type: Experienced Required Travel: Yes, 10% of the time Shift Type: 1st Shift/Days Location: Limerick, County Limerick, Ireland Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Engineering and Information Technology Industries: Semiconductor Manufacturing #J-18808-Ljbffr
A leading semiconductor company is looking for a Senior Engineer in Embedded Software to contribute to product design and development. The role requires proficiency in C, C++, and C#, as well as familiarity with Agile methodologies. Responsibilities include developing device drivers, collaborating with cross-functional teams, and ensuring high software quality. This full-time position is based in Limerick, Ireland, and offers opportunities to work on innovative semiconductor solutions. #J-18808-Ljbffr
About Analog Devices Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X). Staff Machine Learning Operations (MLOps) Engineer This role is within the global XOps team – which includes MLOps, LLMOps, AgentOps and DevOps – whose mission is to deliver a world‑class AI/ML developer experience for our software engineers and data scientists. You will join a high-performance, mission-driven interdisciplinary team that spans data science, software engineering, product management, cloud architecture, and security expertise. We believe in a culture founded on trust, mutual respect, growth mindsets, and an obsession for building extraordinary products with extraordinary people. Role Summary As a Staff MLOps Engineer (individual contributor), you will bring deep technical expertise, the ability to handle complex initiatives end-to-end, and make decisions with broad impact beyond individual tasks. You will independently design and optimize complete systems, resolve technical issues via systematic analysis, and apply industry best practices and advanced methodologies for continuous improvement. You’ll lead the development of major ML/AI operational features that span multiple aspects of the ML/AI developer experience— from infrastructure to pipelines, deployment, monitoring, governance, and cost/risk optimization. Key Responsibilities Operational Excellence Lead cross-team initiatives that elevate operational excellence across the entire ML/AI ecosystem. Define org-level MLOps standards, best practices, and architectural patterns adopted across multiple engineering groups. Drive long‑range improvements to platform maturity through automation, standardization, and advanced operational engineering. Create predictive, systemic cloud and ML workload strategies optimizing cost, performance, and resource allocation across teams. Anticipate operational, architectural, and organizational risks, implementing durable solutions adopted across teams. ML/AI Cloud Operations & Engineering Architect multi‑team AWS ML/AI infrastructure and define long‑term reference architectures for platform evolution. Establish enterprise‑level governance for model lifecycle, provisioning, drift detection, and compliance. Define org‑wide standards for GenAI/LLM/Agent evaluation and experimentation. Own Kubernetes strategy across ML/AI infrastructure, defining cluster topologies, orchestration patterns, and reliability standards. Build reusable IaC frameworks and Terraform/CDK modules adopted across multiple teams. Mentor engineers across orgs on optimization, reliability, distributed workflows, and ML system design. Partner with senior engineering, science, and product leadership to steer ML/AI platform roadmap and strategy. Required Skills & Experience Recognized expert in ML/AI platforms and MLOps, with influence extending across orgs or business units. Proven ability to architect cross‑team solutions and define long‑term platform directions. Expertise creating scalable model governance, registries, and compliance standards used org-wide. Deep experience with ML observability frameworks and defining SLO/SLA measurement strategies. Expert‑level distributed systems experience, including Ray, large‑scale LLM/Agent pipelines, and scalable RL systems. Mastery of IaC/GitOps frameworks and ability to build reusable multi‑team infrastructure patterns. Leadership experience in defining Kubernetes and workflow orchestration strategies across orgs. Deep experience architecting enterprise ML/AI support for foundation models and multimodal AI. Strong ability to lead large multi‑team roadmap initiatives, influence cross‑functional decision‑making, and create long‑range architectural direction. Executive‑level communication and influence skills. Strong mentoring orientation and ability to upskill teams across the organization. Preferred Skills – Robotics, ROS, and Industrial ML Deep experience building or scaling ML infrastructure for robotics systems, including deployments across diverse environments or tasks. Expertise with ROS/ROS2, including architecting reusable ROS components, integrating ML inference pipelines, and supporting heterogeneous robot fleets. Experience designing ML systems that support adaptive, multi‑skilled robots for environments where tasks change frequently (modular, batch‑of‑one manufacturing). Experience integrating ML pipelines with robot perception, calibration, planning, or control systems. Strong background applying Vision‑Language Models (VLMs) for industrial perception, scene understanding, or few‑shot classification in robotics contexts. Experience designing ML infrastructure enabling low‑data adaptation, task generalization, or rapid skill‑transfer for robots. Familiarity with robotic simulation toolchains and workflows, including sim‑to‑real strategies and dataset generation pipelines. Experience influencing robotics‑engineering teams and shaping system architecture that bridges manufacturing domain expertise with ML/AI capabilities. Demonstrated ability to architect platform‑level solutions enabling scalable robotics ML deployment across multiple teams/products. For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except U.S. Citizens, U.S. Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. Job Req Type: Experienced Required Travel: No Shift Type: 1st Shift/Days #J-18808-Ljbffr
A global semiconductor leader in Limerick is seeking a Staff Machine Learning Operations Engineer to enhance their AI/ML infrastructure. The candidate will lead initiatives across teams, architect solutions, and define standards in a collaborative environment. Expertise in MLOps, strong communication skills, and leadership experience in distributed systems are essential. This full-time role offers the opportunity to work on cutting-edge technologies in a diverse team focused on innovation and operational excellence. #J-18808-Ljbffr
A global semiconductor company in Cork, Ireland, seeks an experienced Embedded Software Architect to lead development in their Datacenters & Energy business unit. The ideal candidate will have over 15 years of experience in the software development lifecycle and over 10 years in architecting complex embedded systems. Responsibilities include engaging with stakeholders, creating robust architectures, and mentoring team members. This role offers a dynamic environment for those passionate about advancing intelligent power management solutions. #J-18808-Ljbffr
About Analog Devices Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X). Software Architect, Embedded Software Analog Devices (NASDAQ: ADI) designs and manufactures semiconductor products and solutions. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure and connect. About The Role As Embedded Software Architect, you will contribute strongly to the definition of the software vision for Analog Devices' Datacenters & Energy business unit and develop product definitions and architectures to implement that vision. You'll lead the development of cutting‑edge embedded systems that drive next‑generation intelligent power management for Datacenters, ensuring they meet the highest standards for security, reliability, and real‑time performance. This is a hands‑on role where you will work within and influence world‑class engineering organizations while partnering with cross‑functional stakeholders to architect software solutions that improve datacenter resilience and advance power management innovation. You will bring deep experience architecting real‑time software in embedded systems, with a keen understanding of how to balance functional requirements with exceptional performance and efficiency. Responsibilities include, but not limited to: Engage with customers and internal stakeholders to gather requirements for complex systems to manage and monitor power in datacenters. Focus on ‘Big Picture’ and long‑term viability to create robust, extensible, scalable and enduring architectures to address the identified requirements. Choose platforms, frameworks and tools that optimally fit the system requirements. Architect high performance real‑time embedded to balance ideal engineering with real world constraints. Perform trade‑off analyses between simplicity vs scalability, cost vs speed of delivery, monolith vs microservices etc. Create all necessary documentation to support software architecture definition, including high‑level block diagrams, data flow diagrams, logic diagrams etc. Clearly communicate architecture rationale to team members and stakeholders. Drive continuous improvement in software development process through adoption of the latest, best in class methods and tools including AI. Mentor team members from junior to senior and staff level. Minimum candidate requirements: Bachelor’s degree or higher Computer Science, Engineering, or a related field. 15+ years of experience in the full lifecycle of software development from requirements gathering and analysis through design, development, and product release. 10+ years architecting and designing complex embedded software systems. Ability to read and understand hardware schematics. Excellent verbal and written communication skills. The successful candidate must be able to communicate complex concepts to other team members, customers, and stakeholders. Experience developing software as part of a multi‑developer Agile team using Git branching and merging. Experience designing signal processing chains in software and knowledge of the trade‑offs between processing performance, latency etc. Desirable additional skills and experience: Familiarity with electrical power control systems. Familiarity with embedded RTOS such as Zephyr. Experience with embedded security (data protection, secure boot, secure communications). Familiarity with machine learning concepts and model development. For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. Job Req Type: Experienced Required Travel: Yes, 10% of the time Shift Type: 1st Shift/Days #J-18808-Ljbffr
A global semiconductor leader is seeking a Lead Machine Learning Engineer in Limerick, Ireland, to design and deploy systems for managing machine learning models in manufacturing environments. You will collaborate with data scientists and engineers to integrate solutions into operations while ensuring reliable performance and governance. Ideal candidates will have experience in software systems for machine learning, strong programming skills, and a master's or PhD in a related field. This is an opportunity to impact advanced analytics in a high-demand environment. #J-18808-Ljbffr
About Analog Devices Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X). Principal Machine Learning Engineer, Global Operations and Technology Analog Devices Overview Analog Devices operates a globally distributed manufacturing network that runs continuously to deliver high quality, high reliability products to customers worldwide. Our factories must operate 24x7, often with long process flows, tight tolerances, and complex interdependencies across tools, sites, and supply chain partners. Data and machine learning are increasingly central to how we monitor, optimize, and scale these operations. The Global Operations and Technology organization is building a modern analytics and machine learning foundation to support manufacturing and supply chain use cases across ADI. These capabilities power everything from demand‑driven production planning to factory‑level optimization, quality monitoring, and decision support. The Lead Machine Learning Engineer role focuses on turning models into reliable, production‑grade systems that operate at global scale and meet the uptime, performance, and governance requirements of manufacturing environments. Role Description We are seeking a Lead Machine Learning Engineer to design, build, and operate the systems that deploy and run machine learning models across ADI manufacturing. This role is less about day‑to‑day model development and more about creating the platforms, integrations, and operational workflows that allow models to be used safely and effectively in production. You will work closely with data scientists, manufacturing engineers, IT partners, and platform teams to ensure models are integrated into factory systems, supply chain workflows, and analytics products. This role requires strong software and systems engineering skills, a solid understanding of machine learning concepts, and an appreciation for the operational realities of always‑on manufacturing environments. Key Responsibilities Design and implement production‑grade machine learning pipelines that support training, validation, deployment, and monitoring of models Build and maintain scalable systems for serving machine learning models in batch and near real‑time manufacturing use cases Integrate machine learning solutions with factory systems, supply chain platforms, and enterprise data infrastructure Establish reliability, performance, and monitoring standards suitable for 24x7 global manufacturing operations Partner with data scientists to translate research and prototypes into robust, maintainable production solutions Implement MLOps practices including model versioning, automated testing, deployment automation, and rollback strategies Ensure solutions meet security, data governance, and compliance requirements Support a growing portfolio of manufacturing and supply chain use cases, including but not limited to forecasting, quality analytics, and operational optimization Provide technical leadership and mentorship on machine learning systems design and best practices Required Qualifications And Experience Strong experience building and operating production software systems that support machine learning or data‑intensive applications Hands‑on experience deploying and serving machine learning models at scale using common ML frameworks and libraries Solid understanding of machine learning concepts, model lifecycles, and tradeoffs, even if not focused on model research Proficiency in Python and experience with backend or platform development Experience working with distributed systems, cloud or hybrid environments, and modern data infrastructure Ability to design for reliability, observability, and maintainability in always‑on operational environments Experience collaborating across data science, engineering, manufacturing, and IT teams Preferred Qualifications Master’s or PhD in computer science, engineering, applied mathematics, or a related quantitative field Experience supporting manufacturing, industrial, or supply chain systems Familiarity with MLOps tooling and practices for model deployment, monitoring, and lifecycle management Experience with streaming or event‑driven architectures used in operational systems Track record of leading complex technical initiatives and influencing system design across teams Why Analog Devices This role offers the opportunity to build the backbone that enables machine learning to operate reliably in one of the most demanding environments in the industry. You will help shape how advanced analytics are integrated into global manufacturing operations, working on systems that must perform continuously and at scale. At Analog Devices, you will tackle technically challenging problems with real‑world impact, supporting the technologies that power modern life. For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. Job Req Type: Experienced Required Travel: Yes, 10% of the time Shift Type: 1st Shift/Days #J-18808-Ljbffr
