Architecture/Performance Modeling Intern-MS Degree (2301184)

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Marvell Technologies

Internship
Closes on Wednesday, April 24, 2024

Job Description

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

The Connectivity Business Group develops digital signal processing chips for leading-edge optical interfaces. The products designed by this group require state of the art digital signal processing and FEC techniques and the highest speed analog, digital and optical interfaces in the industry. As a member of this team, the candidate will work on a project to perform measurements and analysis required to define the next generation of digital signal processing chips.

What You Can Expect

  • Understanding digital signal processing for optical interfaces
  • Modelling/simulation/analysis of systems including analog components (ADC, DAC, drivers, TIA), opto-electronic components (optical modulators, optical mixers, photodiodes, lasers, optical mux/demux, optical amplifiers), fiber impairments (CD, PMD, non-linearities) and DSP algorithms (calibration of analog and optical nonidealities, equalizers, carrier frequency/phase recovery, timing recovery)
  • Work with lab equipment (spectrum analyzers, scopes, VOA, lasers, ASE generators etc.)
  • Write python scripts to control equipment and existing chips/evaluation boards
  • Design experiments to collect/analyze data to enable definition of next generation DSP
  • Debug complex optical, analog and signal processing problems

What We're Looking For

Minimum Requirements: 

  • Candidate MUST be currently pursuing a MS degree in EE or related technical field(s)

Preferred Requirements:

  • A strong signal processing/digital communications background and ability to quickly write/debug/run code in Matlab/Python/C/C++ is required.
  • Strong programming skills in Matlab/Python/C/C++, in a Unix type environment, with good problem solving skills
  • Excellent verbal and written communication skills
  • Additional background in coherent optical systems, optical components and silicon photonic integration knowledge is highly desired.
  • Experience with debugging complex analog issues to improve system performance is highly desired.
  • Knowledge of digital design and DSP blocks will be a huge plus.

Expected Base Pay Range (USD)

26 - 52, $ 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 or opt-out credit, perks and discount programs, virtual fitness subsidy, wellness & mental health support including coaching and therapy, paid holidays, paid volunteer days and paid sick time.  Additional compensation maybe available for intern PhD candidates.

This role is eligible for our hybrid work model in which you will be able to split time between working from home and on-site in a Marvell office.

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 TAOps@marvell.com.

Internship 2301184 Marvell Technologies
Architecture/Performance Modeling Intern-MS Degree (2301184) - 125877