The board
- Hours
- Full time
- Where
- San Jose - California
- Posted
- Sep 21
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.
What you'd do
- 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.
- Education: Pursuing PHD or MS in Machine Learning and AI, computer science or related fieldTechnical Skills
- Proficiency in programming languages such as Python, Java, R.
- Strong understanding of machine learning frameworks like TensorFlow, PyTorch.
- Starts
- 2026-09-21