Senior Staff Coherent DSP Applications Engineer

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 AI revolution is reshaping the world’s infrastructure—and Marvell is at its center. As AI workloads scale beyond individual racks and data centers, the critical bottleneck is no longer compute alone: it’s connectivity.

Hyperscalers are racing to build the next generation of AI factories, and the demand for faster, denser, and more power-efficient optical interconnect has never been more urgent. Marvell engineers the frontier analog and digital signal processing technology that makes this all possible: connecting GPUs to memory to switches, spanning millimeters inside a semiconductor package to thousands of kilometers across the continent.

Our coherent DSP solutions address both scale-out within data centers and scale-across between them—enabling the disaggregated, high-performance infrastructure that modern AI demands. At Marvell, you’ll work on problems that matter—at a scale that few companies can offer.

You’ll help enable the infrastructure that runs the world’s most demanding AI workloads, with the depth and resources of a semiconductor leader behind you. We seek a Senior Staff Applications Engineer who wants to be where the action is—working closely with the hardware manufacturers and hyperscalers defining the AI era, translating cutting-edge coherent optical technology into real-world deployments at massive scale.

What You Can Expect Serve as the primary technical face of Marvell for key customers integrating our coherent DSP solutions into next-generation AI and cloud platforms. Own customer success end-to-end—from design-in and bring-up through validation and production deployment.

Lead complex technical issue resolution with urgency and precision; the problems you solve will drive revenue growth. Work closely with Marvell’s analog, DSP, systems, optical, and software teams to clear engineering roadblocks and accelerate customer timelines.

Be a voice of the customer internally—turning real-world challenges into actionable product and design feedback. Operate at the frontier of scale-out and scale-across optical architectures, enabling the high-performance connectivity that modern AI workloads demand.

What We're Looking For Bachelor’s degree in Electrical Engineering, Computer Science, or a related field with 5+ years of relevant experience—or a Master’s/PhD with 3+ years. Deep knowledge of DSP fundamentals and analog/mixed-signal circuits as applied to high-speed optical communications.

Experience with coherent optical communications and optical DSPs is preferred; candidates with deep expertise in adjacent domains are also welcome to apply. Hands-on experience with high-speed signal characterization, preferably with electro-optic components and characterization techniques.

Strong communicator who thrives in cross-functional environments and knows how to build trust with technical customers. Proficiency in Python, C/C++, or MATLAB is a plus. Periodic travel to customer sites in Silicon Valley and worldwide. Expected Base Pay Range (USD) 131,010 - 196,300, $ per annum 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 include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones.

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-TT1