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 $12 billion in FY22 and approximately 25,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible.
Full Stack Software Engineer AI & ML
Locations we are considering for these hires include:(Hybrid Flex available)
Location: Cork, Dublin, Limerick (Ireland).
Central AI Org overview:
ADI’s Central Artificial Intelligence (AI) team develops next-generation AI technology that transforms our understanding of the physical world. We develop solutions at multiple tech stack layers, from AI-enabled software applications to deeply embedded AI algorithms. Our mission is to build the Intelligent Edge, where AI transforms how we solve challenging problems by combining deep application knowledge, close customer relationships, extraordinary data, advanced circuits, and breakthrough algorithms.
We're looking for engineers who bring expertise across the AI space, including ML platform design, cloud-hosted AI services, foundational AI models, LLMs, Edge AI, and cutting-edge AI research; our list of breakthrough products and technologies is growing at a rapid pace. Central AI is critical to ADI’s future and presents opportunities to select from a variety of project areas as you and our AI-driven business grow. Our team are versatile, willing to take calculated risks, and able to lead projects at pace.
As a critical member of the team, you will add value in all phases of software tool development and support. You will have the opportunity to actively drive and participate in feasibility, requirements, architecture, design, implementation, integration, and verification for Web applications.
Role requirements:
Build the tools and components that our scientists need to discover exciting new technologies and their practical application
Develop data transformations for Machine Learning pipelines
Maintain proprietary and open-source Python packages
Work with engineers from different business units within Analog Devices to create or improve products based on our technologies
Design for modularity and reuse. Develop robust, scalable, and fault-tolerant solutions.
Write user and API documentation and unit tests. Automate the build, test, and deployment of your code.
Design and implement back and front-end components and services
Design, implement, and maintain well-abstracted and documented REST APIs
Collaborate with other teams to deploy and serve AI/ML models via APIs
Working closely with the DevOps team to continuously improve system availability, scalability, and reliability
Guarantee product and code quality utilizing best practices such as unit testing, code reviews, etc.
Stay up to date with the latest developments in web technologies and frameworks
Qualifications:
10+ years of industry experience working as a Software Development Experience
5 + years as a Full Stack Developer
BSc. in Computer Science or equivalent.
The primary qualification is the demonstrated ability to deliver the above objectives, as proven by results from projects of similar scope and complexity.
Have mastered developing within medium and large-scale Python project(s).
Advanced-level Python development skills
Experience with building and publishing Python packages (Poetry, Conda, PyPi)
Familiar with message queue-based micro-service orchestration through RabbitMQ or similar
Proficiency with microservices architectures and REST API development (e.g., FastAPI)
Experience with CI/CD systems, SQL, and NoSQL database technologies (e.g., MySQL, MongoDB, etc.)
Experience with cloud platforms such as GCP (preferred), AWS, or Azure
Proficiency Agile/Scrum development processes and tools (e.g., Jira, Confluence, etc.)
Experience with MLOps frameowkrs like VertexAI, SageMaker, etc is a plus.
- Hands-on experience with Machine Learning and Data Science, with strong familiarity of industry standards including Python, Tensorflow, Pytorch, Pandas, MLFlow, SQL
- Hands-on experience with tools such as Kubernetes, Artifactory as well as GenAI specific tools such as Langchain, LlamaIndex, and python environments such as pip or poetry.
Excellent communication and collaboration skills
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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.
EEO is the Law: Notice of Applicant Rights Under the Law.
Job Req Type: Experienced
Required Travel: Yes, 10% of the time
Shift Type: 1st Shift/Days
The wage range for a new hire into this position is $242,880 to $333,960.
Actual wage offered may vary depending on geography, experience, education, training, external market data, internal equity, or other bona fide factors.
This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.