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
In this role, you will develop the architecture for a functional verification environment, including reference models and bus-functional monitors and drivers and contribute to the methodology behind such development.
Activities may include:
• Writing a verification test plan using random techniques and coverage analysis and working with designers to ensure it is complete.
• Developing tests and tuning the environment to achieve coverage goals. Debugging failures and working with designers to resolve issues.
• Verifying boot code and architecting, developing, and maintaining tools to streamline the design of state-of-the-art multi-core SoCs.
• Transforming the requirements from the engineering teams into software tools that are both easy to use and scalable within a highly parallel compute environment.
• Unit and regression testing of software tools.
What We're Looking For
• BS Computer Engineering, Electrical Engineering, or Computer Science with 10+ years of verification and firmware and software development experience (or MS/PhD with 5+ years experience).
• Experience with System Verilog, UVM.
• Experience with writing a detailed test plan and building a sophisticated, directed, random-verification environment.
• Experience with scripting language such as Python or Perl and EDA Verification tools.
• Experience with Object-Oriented Design and implementation.
• Good understanding of Linux O.S.
• Good programming skills desired, especially C++ and ARM assembly.
• Understanding of networking protocols, a plus.
Other Skills:
• Diligent, detail-oriented, and willing to take initiative and handle assignments with minimal supervision.
• Requires the ability to accept and work with differing opinions.
• Cannot be a close-minded developer.
• Must be able to learn on the fly and work in a fast-paced environment.
Expected Base Pay Range (CAD)
145,800 - 194,400, $ 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.
#LI-JT2
