AI Platform Engineer Intern - Remote Eligible

AI Platform Engineer Intern

Monolithic Power Systems, Inc. (MPS) is one of the fastest growing companies in the Semiconductor industry. We are worldwide technical leaders in Integrated Power Semiconductors and Systems Power delivery architectures. At MPS, we cultivate creativity, are passionate about sustainability, and are committed to providing leading-edge products and innovation to our customers. Our portfolio of technology helps power our world ---come join our team and see how YOU can make a difference.

Job Summary

We are seeking a highly skilled AI Platform Engineer Intern to join our innovative team and help build our next-generation AI platform. In this role, you will be responsible for designing, developing, and implementing intelligent AI solutions that enhance employee productivity across the enterprise, including HR, Finance, Product Support, Customer Service, and CAD Design.

You will serve as both a solution builder and a platform engineer—designing AI agents, implementing Retrieval-Augmented Generation (RAG) models, and fine-tuning open-source models from leading providers like Meta, Google, DeepSeek, and Nvidia, while also architecting and maintaining the foundational infrastructure that powers AI research, development, and production deployment at scale.

Collaboration with cross-functional teams—including data science, product, infrastructure, and business stakeholders—is central to this role, ensuring that AI solutions are reliable, scalable, and seamlessly integrated into enterprise systems.

Key Responsibilities

• Design, develop, and deploy AI agents that improve productivity across HR, Finance, Product Support, Customer Service, and CAD workflows.
• Implement RAG pipelines and integrate domain-specific knowledge bases for accurate, context-aware responses.
• Fine-tune, optimize, and evaluate open-source LLMs and foundation models (Meta, Google, DeepSeek, Nvidia, etc.).
• Train custom AI/ML models for targeted business use cases.
• Build and maintain scalable AI infrastructure to support research, training, inference, and production deployment.
• Research and evaluate the latest AI technologies, frameworks, and methodologies to guide platform evolution.
• Define coding standards, best practices, and reusable frameworks for AI agent development.
• Collaborate with infrastructure engineers to ensure secure, reliable, and high-performance systems.
• Partner with cross-functional teams to integrate AI solutions into existing products and business processes.
• Contribute to standardizing development workflows, CI/CD pipelines, and monitoring frameworks for AI services.
• Stay current with emerging trends in AI/ML and proactively introduce new tools and methodologies.

Qualifications

• Pursuing or completed PhD/MS in Machine Learning, Artificial Intelligence, or a related field.

Technical Skills

• Proficiency in programming languages such as Python, Java, R.
• Strong understanding of machine learning frameworks like TensorFlow, PyTorch.
• Experience with RAG models and open-source AI tools.
• Familiarity with CAD software and design principles is a plus

Soft Skills

• Excellent problem-solving and critical thinking abilities.
• Strong communication skills to explain complex AI concepts to non-technical stakeholders.
• Ability to work collaboratively in a team environment.

Pay is based on market location and may vary based on factors including experience, skills, education and other job-related reasons. The hourly pay range for this position is $42/hr - $65/hr with monthly stipend eligibility. Monolithic Power Systems, Inc. (MPS) is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of MPS to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.