Senior AI/ML Engineer - Semiconductor Design Automation

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 FY23 and approximately 26,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible. Learn more at www.analog.com and on LinkedIn.

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.

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 have 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.

Qualifications:

• 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.

Preferred Skills:

• 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

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.

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