AI Developer Intern

Monolithic Power SystemsSan Jose, CA

About The Position

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 Description: Job Summary We are seeking a highly skilled AI Developer to join our innovative team. The successful candidate will be responsible for designing, developing, and implementing AI agents that enhance employee productivity across various departments, including HR, Finance, Product Support, Customer Service, and CAD Design. This role involves leveraging cutting-edge AI and machine learning methodologies to create intelligent solutions. Additionally, the candidate will implement Retrieval-Augmented Generation (RAG) models and fine-tune open-source models from leading providers like Meta, Google, Deepseek, and Nvidia. Collaboration with cross-functional teams is essential to ensure seamless integration of AI solutions into existing systems.

Requirements

  • Pursuing PHD or MS in Machine Learning and AI, computer science or related field
  • 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.
  • 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.

Nice To Haves

  • Familiarity with CAD software and design principles is a plus

Responsibilities

  • Create AI Agent to improve productivity for various departments based on user’s requirement
  • Develop and integrate Retrieval-Augmented Generation models to enhance the accuracy and relevance of AI-generated content.
  • Utilize and fine-tune open-source models from Meta, Google, Deepseek, and Nvidia to optimize AI performance.
  • Work closely with the stakeholders to ensure AI solutions align with business objectives
  • Ensure the seamless integration of AI models into current processes and systems across departments.
  • Continuously research and implement best practices in AI and machine learning to maintain cutting-edge solutions.
  • Test, troubleshoot, and optimize AI systems to ensure high performance and reliability.
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