System Engineer - Optical DSP Intern - PhD at Marvell Technology

Irvine, California, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Aug, 26

Salary

62.0

Posted On

03 May, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Digital signal processing, Coherent optical systems, Python, Matlab, C, C++, Unix, Signal processing, Digital communications, Optical components, Silicon photonics, Debugging, Analog design, FEC techniques, System performance analysis

Industry

Semiconductor Manufacturing

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, 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. What You Can Expect Understanding coherent optical signal processing Modelling/simulation/analysis of coherent systems including analog components (ADC, DAC, drivers, TIA), opto-electronic components (nested MZM, coherent 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, VOA, ASE generators etc) What We're Looking For Candidate MUST be currently pursuing a BS/MS/PhD (preferred) degree in CS/EE or related technical field(s) 0-1 years of previous experience A strong signal processing/digital communications background is required. Strong programming skills in Python/Matlab/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) 31 - 62, $ 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 Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life’s most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights for our interns: medical, dental, and vision coverage, perks and discounts, robust mental health resources to prioritize emotional well-being, and paid holidays. Additional compensation may be available for intern PhD candidates. We look forward to sharing more with you during the interview process. 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. 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. #LI-SC1 Join our talent community to hear about company news, job openings and events. Join our Talent Community! 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. Recruitment fraud is a well-known way that third parties try to get personal information or to steal money from you. Please review Marvell’s guidance here to learn more on how you can protect yourself.

Responsibilities

The intern will model, simulate, and analyze coherent optical systems and DSP algorithms. They will also work with laboratory equipment to evaluate analog and optical components.