Emulation Intern - Bachelors Degree

Reposted 4 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
27-55
Internship
Semiconductor
We create custom semiconductor solutions that move, process, store, and secure data quickly and reliably.
The Role
As an Emulation Intern, you will develop UVM testbenches, run simulations, and validate design behavior using various programming languages and tools.
Summary Generated by Built In

About Marvell

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, automotive, 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. 

Your Team, Your Impact

Custom Compute and Storage (CCS) Business This unit closely collaborates with strategic customers in the development of advanced and highly complex SoCs, from architecture and design all the way through layout, packaging, prototype validation and production ramp up.
The Emulation Center of Excellence (CoE) team is key part of this group, with global ownership and responsibility for delivering emulation infrastructure, validating the design on emulation and drive left shift of software and post-silicon readiness for all of CCS products.
As part of the Emulation CoE team, you will drive the emulation strategy, vendor platform enablement, test plan execution for a high quality design tape-out.

What You Can Expect

  • Develop understanding of the UVM testbench methodology.
  • Build and run a simulation of a Marvell IP using the UVM test methodology
  • Understand key concept of the UVM methodology: Agent, Driver, Sequencer, Monitor, Scoreboard
  • Review the testbench and understand the part of UVM sequence that would be require in emulation
  • Python output could be pseudo-code or C/C++ or TCL script
  • Build and run an emulation model using the output of the Python script
  • Validate that simulation and emulation behavior are matching

What We're Looking For

  • Currently pursuing a Bachelor's degree in Computer Science, Electrical Engineering, or related fields. 
  • Good understanding of digital logic design using Verilog/System Verilog.
  • Knowledge of UVM validation flow or other validation methodologies is a plus.
  • Knowledge of simulation tools from any vendors (Cadence, Siemens or Synopsys) is a plus.
  • Knowledge of Emulation tools from any vendors (Cadence, Siemens or Synopsys) is a plus.
  • Experience in  programming and scripting languages such as Python, Perl, Tcl
  • Good understanding of Linux/Unix, with experience working on distributed systems 
  • Effective teamwork and communication skills 

Expected Base Pay Range (USD)

27 - 55, $ per hour.

The successful candidate’s starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.

Additional Compensation and Benefit Elements 

For Internship roles, we are proud to offer the following benefits package during the internship - medical, dental and vision coverage, perks and discount programs, wellness & mental health support including coaching and therapy, paid holidays, paid volunteer days and paid sick time. Additional compensation may be available for intern PhD candidates.

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.

Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at [email protected].

Interview Integrity
 

As part of our commitment to fair and authentic hiring practices, we ask that candidates do not use AI tools (e.g., transcription apps, real-time answer generators like ChatGPT, CoPilot, or note-taking bots) during interviews.
 
Our interviews are designed to assess your personal experience, thought process, and communication skills in real-time. If a candidate uses such tools during an interview, they will be disqualified 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.

#LI-LM1

Top Skills

Cadence
Linux
Perl
Python
Siemens
Synopsys
System Verilog
Tcl
Unix
Uvm
Verilog
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The Company
HQ: Santa Clara, CA
6,500 Employees
Year Founded: 1995

What We Do

Marvell specializes in semiconductor solutions that power a wide range of industries, from data centers and 5G networks to AI, automotive, and storage applications. Our cutting-edge products are designed to meet the constantly evolving demands of a connected world, enabling faster, more efficient and more secure data processing and communication. With a focus on excellence and a commitment to advancing technology, we develop solutions that drive progress and transform industries.

Why Work With Us

Life at Marvell means being a part of new innovation and enduring technology; but it's also much more. Our diverse community is strengthened through cultural events, corporate gatherings and team-building activities, fostering collaboration and making work enjoyable. At Marvell, it's not just a job; it's an enriching, community-driven experience.

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