Your Team, Your Impact
Custom Silicon Engineering (CSE) group is part of Data Center Engineering (DCE) Business Unit, closely collaborates with strategic Hyper scalar and Data Center customers in the development of advanced and highly complex custom SoCs, from architecture and design all the way through layout, packaging, prototype validation and production ramp up.

What You Can Expect

• Work on verification of memory, AI/HPC or Die-2-Die subsystems of Marvell's AI/ML, Network processing, Compute, Memory Expander and Accelerated Compute SOCs and IPs.
• Contribute to the architecture for a functional verification environment, including reference models and bus-functional monitors and drivers using System Verilog and UVM methodology.
• Contribute to or develop test strategies that will ensure functional correctness.
• Develop verification testplan and write tests using random techniques and coverage analysis, and work with designers to ensure it is complete.
• Debug failures and work with designers to resolve issues.
• Contribute to the development and future direction of SoC verification methodologies and environments.

What We're Looking For

• Bachelor's degree in Electrical engineering, Electronics, Computer engineering, or related fields with 10+ years of experience.
• Master's degree and/or PhD in Electrical engineering, Electronics, Computer engineering, or related fields with 8+ years of experience.
• 8+ years of experience in design engineering with focus on verification.
• At least 5 years of direct hands-on verification experience on PCIe, NOC, DDR, HBM, Processor cores or AI or HPC accelerators at block, subsystem and full chip level contexts.
• Strong experience developing complex/random verification environments using System Verilog/UVM
• Strong experience with writing and executing detailed verification test-plan.
• Strong experience with scripting languages such as Python or Perl and EDA verification tools, as well as bug tracking and regression mechanisms.
• Strong experience with object-oriented design and implementation.
• Excellent communication skills to interface internally and externally with all levels of the organization and to participate in problem-solving and quality improvement activities.
• Demonstrates good analytical and problem-solving skills.
• Must have the ability to define problems, issues, and opportunities, analyze data, establish facts, and draw valid conclusions from various datasets.
• Must have the ability to multi-task in a fast-paced environment.

Expected Base Pay Range (CAD)
118,700 - 158,300, $ per annum

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.

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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