Principal CAD Engineer - AI/ML

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

As a key CAD member of Marvell Central Engineering, you will play a leading role on developing next-generation automated design flow and its add-on tools. You will have the opportunity to use your extensive design and CAD knowledge to participate in defining the whole organization's design infrastructure, methodology and workflows.

What You Can Expect

• Design, build, and train machine learning models using AI/ML frameworks
• Develop regression, clustering, and deep learning tasks
• Implement and manage training pipelines, including data preprocessing, augmentation, and batching
• Conduct hyperparameter tuning, model evaluation, and performance optimization
• Solve ASIC design problems through development of training models and AI/ML framework

What We're Looking For

• Bachelor’s degree in Computer Science, Electrical Engineering or related fields and 10-15 years of related professional experience or Master’s degree and/or PhD in Computer Science, Electrical Engineering or related fields with 5-10 years of experience or equivalent professional experience in lieu of a formal degree
• Hands-on experience on LLMs, transformer architectures, or multimodal models
• Programming Proficiency: Python; R, familiarity with C++
• ML Frameworks: Experience in TensorFlow, PyTorch, Keras, or JAX
• Data Handling: Experience with data preprocessing, augmentation, and feature engineering
• Modeling Techniques: Knowledge of supervised, unsupervised, and reinforcement learning
• Optimization: Skills in hyperparameter tuning, model pruning, and performance benchmarking
• Infrastructure: Familiarity with cloud platforms (AWS, GCP, Azure), GPU/TPU acceleration
• Demonstrate good analysis and problem-solving skills. Out-of-the-box thinking
• Team player with good verbal and written communication skills

Expected Base Pay Range (USD)

146,850 - 220,000, $ 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

At Marvell, we offer a total compensation package with a base, bonus and equity. Health and financial wellbeing are part of the package. That means flexible time off, 401k, plus a year-end shutdown, floating holidays, paid time off to volunteer. Have a question about our benefits packages - health or financial? Ask your recruiter 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

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.

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