Senior AI/ML Engineer - Semiconductor Design Automation

Analog Devices - Boston, MA

Full-time - Senior

Boston, MA

10,001+ employees

Computer and Electronic Product Manufacturing

About the position

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. The Enterprise AI Engineering team is looking for experienced AI/ML Engineers to develop and implement innovative AI solutions to optimize semiconductor design processes and workflows. Our AI team has a particular focus on applying AI to Analog design, to automate analog placement and layout, reduce product development cycle time, and free up designers' time to unlock innovation.

Responsibilities

• Design and implement innovative AI/ML solutions to optimize semiconductor design processes and workflows, and improve performance of the designs.
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing EDA workflows.
• Participate in design reviews, project planning, and technical discussions.
• Be aware and stay ahead of the latest developments in AI and EDA.
• Provide technical leadership in driving AI/ML solutions in semiconductor design.

Requirements

• Master's or Ph.D. in Electrical Engineering, Computer Science, or a related field.
• 10+ years of full-time industry experience in machine learning or semiconductor design. At least 3+ years in a senior technical leadership role.
• Proven experience in developing CAD tools and EDA solutions for the semiconductor industry.
• Strong background in AI/ML techniques and their application in EDA.
• Scripting and programming skills: Unix Shell, Python.
• Familiarity with analog and/or digital semiconductor design.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Strong communication skills and the ability to present complex technical concepts to diverse audiences.

Nice-to-haves

• Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar.
• Experience with development and deployment of Generative AI systems in real world applications, including training, fine-tuning of models on domain specific data.
• Experience with data analysis and visualization tools.
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure).
• Familiarity with version control systems (e.g., Git) and software development methodologies.