Senior AI/ML Applications Engineer

Analog Devices•Wilmington, MA

About The Position

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) . Senior AI/ML Applications Engineer The semiconductor industry is rapidly adopting agentic AI – autonomous multi-agent systems that reason, learn, plan, and execute complex EDA tasks. By automating repetitive, multi-step design tasks and optimizing intricate workflows, agentic AI is a “gamechanger” that enables engineers to focus on higher-level problems. In this context, ADI is seeking a Senior AI/ML Applications Engineer to spearhead the development and integration of best-in-class AI-driven tools in IC design and verification. This position is in the Engineering Enablement (EE) group that provides industry-leading tools, methodologies, and support to accelerate product development across the company. You’ll be a part of the Systems Verification and Validation (SVV) team within the EE organization in ADI’s Vertical Business Units. SVV is responsible for developing, adopting, and supporting tools, methodologies, and solutions across the entire design verification landscape - including Unified Metric-Driven Verification (MDV), SystemVerilog (SV)/UVM-based methodologies, Mixed-Signal DV, Post-Silicon Validation Shift-Left, Formal Verification, Functional Safety, Security, Portable Stimulus, and Emulation/Prototyping technologies. A major focus of the group recently has been around deploying and integrating advanced Agentic AI methods to boost productivity in areas of digital architecture, digital design, digital implementation DV and embedded software. This role offers an exciting opportunity to contribute to rapid advancements in a dynamic and fast-evolving field filled with engaging challenges. About the Role We are seeking a talented and dynamic AI/ML Applications Engineer to join our team based in Durham, NC or Wilmington, MA. In this role, you will leverage your knowledge in Integrated Circuit (IC) design and verification with working knowledge of AI/ML to develop, integrate, deploy, and support best-in-class Agentic AI solutions including custom instructions, skills and automation scripts. You will help connect these tools with multiple engineering domains including system architecture, design, verification, and software teams to enhance productivity and quality.

Requirements

3-5 years of experience in the IC design and verification domain
Experience with LLM-related techniques: prompt engineering, RAG, vector databases
Strong experience with scripting languages (Python, Bash)
Strong experience with SystemVerilog/UVM and C-based test bench development
Proficiency with git version control and CI/CD pipelines (GitHub Actions, Jenkins)
Strong command-line Linux skills and experience with common Linux utilities
Excellent debugging and analytical skills
Strong coding and documentation practices
Excellent communication skills to work across teams

Nice To Haves

Knowledge of AI Infrastructure development, including MCP integration
API integration experience (REST/GraphQL)
Familiarity with cloud platforms (AWS, Azure) and CI/CD practices for ML tools
Experience fine-tuning or training LLMs for domain-specific applications
Experience with synthesizable RTL development
Experience with debugging of RTL and gate simulations
Experience with Xcelium and Synopsys tools
Proficiency in Formal Verification techniques and tools
Experience with coverage-driven verification methodologies
Familiarity with low power verification (UPF)

Responsibilities

Evaluate and integrate Agentic AI tools with industry standard and proprietary tools and workflows for massively accelerating various parts of the IC design and verification lifecycle
Develop libraries of custom instructions, skills, and automation scripts for Agentic AI tools
Apply machine learning and agentic AI techniques to extend and enhance ADI’s EDA tools
Connect APIs and SDKs to ADI’s design databases
Educate users on best practices for using Agentic AI tools, create documentation and deliver training workshops
Work closely with digital and analog design engineers, verification experts, and tool developers to identify pain points and integrate AI solutions
Evaluate and benchmark emerging AI/ML tools for semiconductor workflows
Develop and maintain automation tools to improve verification productivity and debug efficiency
Keep abreast of the latest in generative AI and agentic frameworks