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 Marvell CE AMS IP group (Central Engineering Analog Mixed Signal IP) is a team within Marvell that specializes in the design and development of various types of analog and mixed-signal intellectual property (IP). The team has experience designing IPs for a wide range of IC design technologies, from 40nm to 2nm. The team focuses on designing IPs for:

- COMPHY SerDes (Common PHY, including Long Reach SerDes, Die-to-Die connection SerDes, D2D PHY, Short Reach PHY, XSRPHY)
- DDR PHY
- Analog IPs (e.g., SSPLL, reference clock generators, voltage detectors, temperature sensors)

What You Can Expect

In this on-site role based in Santa Clara, you will collaborate with a team of 8 software engineers to:

Develop and implement innovative AI Large Language Model (LLM) use cases for IP design workflows.Enhance and optimize the AskAMS RAG-based semantic search platform, improving its accuracy and efficiency.Create and refine AI-assisted tools for automatic generation of: a. RTL (Register-Transfer Level) code b. Design Verification (DV) test scripts c. Firmware (FW) code d. Analog design filesCraft and fine-tune prompts to maximize LLM model performance and output quality across various applications.Integrate advanced image processing capabilities into existing and new applications, enhancing visual data analysis and interpretation in the IP design process.Continuously evaluate and implement cutting-edge AI technologies to streamline and improve the overall IP design flow.Collaborate with cross-functional teams to identify areas where AI can provide the most significant impact in the design process.Develop metrics and conduct regular performance assessments of AI-assisted tools and workflows.Contribute to the creation of documentation and training materials for AI-powered tools and processes.Stay up-to-date with the latest advancements in AI, LLMs, and their applications in semiconductor design, and propose new ideas for implementation.

What We're Looking For

To be successful in this role, you must:

Be currently pursuing a master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, with a focus on AI/Machine Learning, and with an anticipated graduation date between Winter 2025 and Spring 2026. Other majors may be considered if you have substantial knowledge or experience in AI, deep learning, or related technologies.Have a strong working knowledge of Python and C, with experience in machine learning frameworks such as TensorFlow or PyTorch. You should also have a fundamental understanding of firmware and software architecture, including AI-specific architectures. Be prepared to explain your approach to writing programs, including how you integrate AI and machine learning components.Have hands-on experience with Large Language Models (LLMs) and natural language processing (NLP) techniques. Familiarity with transformer architectures, attention mechanisms, and fine-tuning processes is highly desirable.Be willing to learn and adapt quickly. During your first few months, you'll be coming up to speed on our AI-enhanced technology stack and tools, including our specialized compilers, assemblers, editors, and machine learning pipelines. You'll be learning how our IPs and AI models fit into the broader system architecture.Demonstrate a passion for staying current with the latest advancements in AI and machine learning. Even after you've been here a while, you'll be constantly learning new things because we are on the absolute leading edge of AI-enabled technology. We're developing innovative solutions that push the boundaries of what's possible with AI.Be collaborative with your teammates. We have a great culture here that fosters knowledge sharing and mutual support. People help one another, ask questions, and lend a hand. You should be comfortable working in cross-functional teams that blend traditional software engineering with cutting-edge AI expertise.Show enthusiasm for tackling complex problems at the intersection of hardware, software, and AI. You'll be working on projects that require integrating AI capabilities into embedded systems and optimizing AI models for efficient deployment on our hardware platforms.

Expected Base Pay Range (USD)

32 - 64, $ 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 TAOps@marvell.com.

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