Mixed-Signal CAD/Design Engineer – AI-Driven EDA CAD Development

8 Hours ago • All levels

Job Summary

Job Description

This Mixed-Signal Design Engineer role at Cirrus Logic involves pioneering the integration of Artificial Intelligence (AI) into Electronic Design Automation (EDA) tools. The engineer will take a leadership role in collaborating with experts and vendors to determine EDA tool strategies. Responsibilities include applying machine learning to improve design speed, accuracy, and performance of mixed-signal designs, and developing methodologies to boost the productivity of analog and mixed-signal designers. The role is at the forefront of innovation, leveraging AI to optimize circuit design and accelerate development cycles, which requires strong problem-solving skills and the ability to thrive in a dynamic environment.
Must have:
  • MS + 8 years or PhD + 5 years in Electrical/Computer Engineering.
  • Strong knowledge of CMOS mixed-signal design and simulation tools.
  • Strong programming skills (Python, C++, MATLAB) with AI/ML framework experience.
  • Experience in AI-driven optimization techniques for EDA workflows.
  • Strong problem-solving and cross-functional team skills.
Good to have:
  • Knowledge and experience in reinforcement learning, neural networks, or generative AI.
  • Experience with EDA tool development, algorithm optimization, or CAD automation.

Job Details

For over four decades, Cirrus Logic has been propelled by the top engineers in mixed-signal processing. Our rockstar team thrives on solving complex challenges with innovative end-user solutions for the world's top consumer brands. Cirrus Logic is also known for its award-winning culture, which was built on a foundation of inclusion and fairness, meaningful community engagement, and delivering enjoyable employee experiences at every turn. But we couldn’t do it without our extraordinary workforce – and that’s where you come in. Join our team and help us continue to make Cirrus Logic an exceptional place to grow your career!  We are seeking a highly skilled Mixed-Signal Design Engineer to pioneer the integration of Artificial Intelligence (AI) into Electronic Design Automation (EDA) Computer-Aided Design (CAD) tools. This role is at the forefront of innovation, leveraging AI to optimize circuit design, enhance verification processes, and accelerate development cycles. Responsibilities:
  • Take a technical leadership role in collaborating with internal design experts and EDA vendors to determine the trade-offs in licensing vs partnering vs internal development of EDA tools.
  • Apply machine learning algorithms to improve design speed, accuracy, and performance of advanced mixed-signal designs.
  • Develop scalable methodologies to improve the productivity of analog and mixed-signal designers.
Required Skills and Qualifications:
  • MS + 8 years of experience or PhD + 5 years of experience in Electrical Engineering or Computer Engineering.
  • Strong ​knowledge of CMOS mixed-signal design and circuit simulation tools (e.g., SPICE, Cadence tools, Synopsys tools).
  • Strong programming skills (Python, C++, MATLAB) with experience in AI/ML frameworks.
  • Experience in AI-driven optimization techniques applied to EDA workflows.
  • Strong problem-solving skills and ability to work in a cross-functional team.
  • Comfort with the ambiguity and innovation required in a still developing and rapidly changing field.
Preferred Skills and Qualifications:
  • Knowledge and experience in reinforcement learning, neural networks, or generative AI models for CMOS mixed-signal circuit design.
  • Knowledge and experience with EDA tool development, algorithm optimization, or CAD automation.
Cirrus Logic strives to select the best qualified applicant for any opening. Different approaches, ideas and points of view are both valued and respected. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, national origin, age, protected veteran or disabled status, genetic information, or any other classification protected by applicable law. 

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