About The Position

As a DFT Senior Staff Engineer with Marvell, for DFT Automation & Infrastructure, you'll be a member of the Custom Silicon Engineering team. This team is a leader in large multi-die designs driving high compute performance and acceleration in AI, 5G, and 6G markets. This unique role sits above the daily DFT execution layer, focusing on automation and intrastructure development, project tracking, regression management, and tool creation to enhance team productivity and design quality across multiple concurrent projects. This is a "meta-DFT" position where your deep DFT expertise will be leveraged to identify bottlenecks, inefficiencies, and improvement opportunities rather than performing hands-on DFT implementation. You'll architect and develop automated tools and frameworks that track project group progress across multiple designs, manage large-scale regression runs, analyze DFT metrics and trends, and provide actionable insights to engineering teams. Your responsibilities include designing Python-based infrastructure for workflow automation, creating dashboards for real-time project visibility, establishing best practices and standardized methodologies, and developing tools that scale DFT execution across the organization. You'll work closely with DFT engineers to understand pain points and translate them into systematic solutions, while also mentoring teams on methodology adoption and continuous improvement practices.

Requirements

  • Bachelor's degree in Computer Science, Electrical Engineering or related fields with 5-10 years of experience, or Master's/PhD with 5-8 years of experience.
  • Strong DFT background with at least 5+ years in custom chip design, including hands-on experience with SCAN, MBIST, validation, STA, and IP-DFX flows—essential for understanding what needs improvement.
  • Proficiency in Python programming for tool development, data analysis, and automation.
  • Strong Unix/Linux skills including shell scripting (csh, bash), make, sed, awk, and system administration.
  • Experience with data analysis, visualization, and dashboard creation.
  • Time coordination skills with ability to track multiple concurrent efforts and drive cross-functional initiatives.
  • Understanding of regression management, continuous improvement, and DevOps practices.
  • Excellent problem-solving abilities to identify systematic issues and architect scalable solutions.
  • Strong communication skills to gather requirements from engineers and present insights to management.

Nice To Haves

  • Since Marvell is a fundamental leader in AI chip design, knowledge of and experience with AI tools and techniques for assistance with tool development, code generation, and data analysis, with understanding of strengths and weaknesses of their use, would be highly valuable.

Responsibilities

  • Designing Python-based infrastructure for workflow automation
  • Creating dashboards for real-time project visibility
  • Establishing best practices and standardized methodologies
  • Developing tools that scale DFT execution across the organization
  • Work closely with DFT engineers to understand pain points and translate them into systematic solutions
  • Mentoring teams on methodology adoption and continuous improvement practices

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.
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