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Senior Principal Engineer, RTL ASIC Design

Marvell
Bangalore
On-site

About this role

Job title: Senior Principal Engineer, RTL ASIC Design

About the Role Senior Principal Engineer, RTL ASIC Design within Marvell’s Custom and Compute Solutions unit. The role focuses on developing robust design and verification methodologies for RTL-to-GDSII flows, integrating AI techniques to optimize design productivity, and guiding toolchains and workflows across design teams.

What You'll Do

  • Design and implement robust workflows for design, verification, and automation; establish best practices, standards, and documentation for methodology adoption; continuously evaluate and refine methodologies to improve efficiency and scalability.
  • AI Integration: Apply machine learning and AI techniques to optimize design flows, resource allocation, and problem-solving; develop predictive models and intelligent tools to assist engineers in decision-making; collaborate with cross-functional teams to identify opportunities for AI-driven improvements.
  • Tool & Infrastructure Management: Work with CAD/EDA teams to integrate methodologies into existing toolchains; automate repetitive tasks using scripting languages (Python, TCL, Shell); ensure compatibility and interoperability across tools and platforms.
  • Collaboration & Support: Partner with design, verification, and CAD teams to deploy methodologies effectively; provide training and support to engineers on new workflows and AI tools; act as a liaison with vendors and research partners for tool evaluation and innovation.
  • Innovation & Research: Stay updated on emerging AI/ML techniques and industry trends; propose and prototype new approaches to enhance design productivity; contribute to long-term strategy for AI adoption in engineering methodologies.

What We're Looking For

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.
  • 18+ years of experience in design automation, methodology development, or AI/ML applications in engineering.
  • Strong programming and scripting skills (Python, TCL, Shell, C++).
  • Hands-on experience with EDA tools and design flows (front-end and back-end).
  • Solid understanding of machine learning concepts and practical applications.
  • Excellent problem-solving, communication, and collaboration skills.

Nice to Have

  • Experience with deep learning frameworks (TensorFlow, PyTorch).
  • Knowledge of semiconductor design processes (RTL-to-GDSII, verification, DFM).
  • Familiarity with cloud computing and distributed systems.
  • Exposure to data analytics and visualization tools.

Compensation & Benefits With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it’s like to work at Marvell, visit our Careers page.

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