AI/ML Intern - Bachelor's Degree
Job Description
- Familiarity with ASIC design
- Bachelor’s degree in Computer Science or a related field, or equivalent experience
- Strong understanding of algorithms and machine learning
- Experience with Python and developing command line tools
- Willing to learn ASIC design domain
- Experience with classic Machine Learning algorithms and LLMs, GNNs
- Excellent problem-solving skills
- Strong communication and teamwork skills
- Great English both verbal and written
- Medical coverage
- Dental coverage
- Vision coverage
- Perks and discount programs
- Wellness & mental health support including coaching and therapy
- Paid holidays
- Paid volunteer days
- Paid sick time
- Additional compensation for intern PhD candidates
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 Central Engineering CAD organization at Marvell is a critical cog in the wheel of innovation. Without this team, Marvell would be unable to execute its vision of delivering cutting-edge technology to the world. Our team is responsible for developing design flows that are used by hundreds of engineers. These flows are instrumental in working with top-notch technologies like 3nm and 2nm, which are at the forefront of the semiconductor industry. Every day, we work on supporting all business units within Marvell, providing them with the tools and processes they need to create their products. This gives our team members the unique opportunity to work on a variety of projects and teams, broadening their experience and knowledge. Our work directly impacts the success of the company and, by extension, the advancement of technology in the world.
What You Can Expect
- Apply your knowledge of algorithms and machine learning to solve complex problems and implement solutions for ASIC Design Engineering
- Analyze and process data for feature selection. Report findings and suggest improvements.
- Design, develop, and maintain efficient, reusable, and reliable Python code for command line tools.
What We're Looking For
- Bachelor’s degree in Computer Science or a related field, or equivalent experience.
- Strong understanding of algorithms and machine learning.
- Experience with Python and developing command line tools.
- Familiarity with ASIC design is a plus, willing to learn ASIC design domain is a must.
- Experience with classic Machine Learning algorithms and LLMs, GNNs.
- Excellent problem-solving skills.
- Strong communication and teamwork skills.
- Great English both verbal and written.
Expected Base Pay Range (USD)
27 - 55, $ 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.
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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