Digital Signal Processing (DSP) Intern PhD
Digital Signal Processing (DSP) Intern PhD
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1 Vacancy
Job Description
About Marvell
Marvells 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
Join Marvells Data Center Engineering (DCE) Connectivity DSP Team where we design and develop high-speed low-power electrical and optical transceivers using PAM4 and advanced modulation schemes with FEC (Forward-Error-Correction). Our DSP solutions power AI cloud enterprise and 5G infrastructure by enabling the high bandwidth interconnects essential for modern data centers. As an intern you will have the opportunity to contribute to the system design and development of next-generation DSP architectures while gaining hands-on experience in a leading technology group.What You Can Expect
Responsibilities:
- Gain in-depth understanding of transceiver systems including equalization and clock-data-recovery (CDR) algorithms.
- Develop and refine algorithms or models for performance characterization.
- Prototype innovative ideas related to equalization adaptation and forward error correction (FEC).
- Implement and test new algorithms using C MATLAB or Python in a simulator environment.
What Were Looking For
Minimum Requirements:
- Currently pursuing a Masters or PhD degree (PhD strongly preferred) in Computer Science Electrical Engineering or a related technical field.
- Completed graduate coursework in at least two of the following areas:
- Digital Signal Processing
- Digital Communications
- Information Theory
- Coding Theory
- Probability Theory
Preferred Qualifications:
- Strong R&D experience in Probability Theory Detection and Estimation Theory Coding Theory Digital Communications or Digital Signal Processing.
- Excellent analytical and problem-solving skills.
- Effective verbal and written communication skills.
- Proficiency in C MATLAB or Python.
- Experience with adaptive filters equalization forward error correction and clock-data-recovery is a plus.
If you are passionate about high-speed DSP design and want to contribute to cutting-edge solutions we encourage you to apply and help drive the future of AI and cloud infrastructures.
Expected Base Pay Range (USD)
29 - 57 $ per hour.The successful candidates 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 .
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-SC1Required Experience:
Intern
Employment Type
Full-Time
