2 months ago
San Jose, CA, USAIntern

Responsibilities

  • Design and develop AI agents that improve productivity across multiple departments based on user requirements.
  • Develop and integrate Retrieval-Augmented Generation models.
  • Fine-tune open-source models from Meta, Google, DeepSeek, and Nvidia.
  • Collaborate with stakeholders and cross-functional teams to align AI solutions with business objectives.
  • Integrate AI models into existing processes and systems.
  • Research and implement current AI and machine learning best practices.
  • Test, troubleshoot, and optimize AI systems for performance and reliability.

Requirements

  • Pursuing a PhD or MS in Machine Learning and AI, Computer Science, or a related field.
  • Proficiency in Python, Java, and R.
  • Strong understanding of TensorFlow and PyTorch.
  • Experience with RAG models and open-source AI tools.
  • Familiarity with CAD software and design principles is a plus.
  • Strong problem-solving, critical-thinking, communication, and collaboration skills.

Benefits

  • Internship role with a target hiring range of $30/hour-$50/hour; pay may vary by market location, experience, skills, education, and other job-related factors.

Tech Stack

Monolithic Power Systems, Inc.

About Monolithic Power Systems, Inc.

1,001-5,000 employees

Monolithic Power Systems designs and sells analog and mixed-signal power-management semiconductors—such as DC-DC converters, PMICs, power modules, motor and LED drivers, and battery-management ICs—used by OEMs in industrial, telecom infrastructure, cloud/datacenter, automotive, and consumer devices. The company monetizes through chip and module sales, plus evaluation hardware with supporting software and reference designs. Founded in 1997 and headquartered in West Palm Beach, Florida, it is a public company traded on NASDAQ.

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