Monolithicpower

AI Developer Intern

United States · On-site · Full time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerMonolithicpower
  • LocationUnited States
  • Work styleOn-site
  • Employment typeFull time
  • Employer posted

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.

Show full description

Responsibilities:

  • Design and Develop AI Agents: Create AI Agent to improve productivity for various departments based on user’s requirement
  • Implement RAG Models: Develop and integrate Retrieval-Augmented Generation models to enhance the accuracy and relevance of AI-generated content.
  • Fine-Tune Open-Source Models: Utilize and fine-tune open-source models from Meta, Google, Deepseek, and Nvidia to optimize AI performance.
  • Collaborate with Cross-Functional Teams: Work closely with the stakeholders to ensure AI solutions align with business objectives
  • Integrate AI into Existing Systems: Ensure the seamless integration of AI models into current processes and systems across departments.
  • Stay Updated on AI Trends: Continuously research and implement best practices in AI and machine learning to maintain cutting-edge solutions.
  • Troubleshoot and Optimize: Test, troubleshoot, and optimize AI systems to ensure high performance and reliability.

Requirements and Skills:

  • Education: Pursuing PHD or MS in Machine Learning and AI, computer science or 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.

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Pay is based on market location and may vary based on factors including experience, skills, education and other job-related reasons. The target hiring range for this position is $30/hour - $45/hour.

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.

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At a glance

  • Work styleOn-site
  • Employment typeFull time
  • SeniorityIntern
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

Python Java Machine learning PyTorch TensorFlow

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