Senior Staff Engineer, Design For Test - Automation & Infrastructure

About Marvell

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. 

At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. 

This is an existing vacancy.

Your Team, Your Impact

Your Team, Your Impact
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.

What You Can Expect

What You Can Expect

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.
 

What We're Looking For

What We're Looking For

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.
**Optional but strongly desired: 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.**

Expected Base Pay Range (CAD)

63 - 177,100, $ per hour.

Additional Compensation and Benefit Elements

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.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Interview Integrity 

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.

These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

Marvell may employ artificial intelligence technologies to assist in the evaluation of job applications. All application reviews include meaningful human involvement, and no hiring decisions are made solely on the basis of automated processing.

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