Intern, AI ML Software Engineer

pSemi Corporation is a Murata company driving semiconductor integration. pSemi builds on Peregrine Semiconductor’s 30-year legacy of technology advancements and strong IP portfolio but with a new mission—to enhance Murata’s world-class capabilities with high-performance semiconductors. With a strong foundation in RF integration, pSemi’s product portfolio now spans power management, connected sensors, optical transceivers, antenna tuning and RF frontends. These intelligent and efficient semiconductors enable advanced modules for smartphones, base stations, personal computers, electric vehicles, data centers, IoT devices and healthcare. From headquarters in San Diego and offices around the world, pSemi’s team explores new ways to make electronics for the connected world smaller, thinner, faster and better.

Job Summary

This position will assist engineers in designing, developing, and implementing AI/ML solutions utilizing large language models (LLMs) from sources such as OpenAI, Llama, and Gemini. The intern will support the creation of Agent frameworks that leverage Agentic AI principles for autonomous decision-making and task execution. Additionally, this role will involve leveraging software to automate RFIC design workflows to improve efficiency and accuracy. This includes contributing throughout the entire product life cycle—from initial concept through scalable deployment.

 

Roles & Responsibilities

This position has responsibility for:

• API Development: Build robust APIs for LLM integration using frameworks like Flask and FastAPI.
• Agent Framework Creation: Assist in developing intelligent systems based on Agentic AI principles using tools like Langchain or Llamaindex.
• Data Management: Support backend software development efforts including database infrastructure management with SQL, NoSQL, or vector databases. Implement RAG systems to improve LLM performance.
• RFIC Design Automation: Leverage software tools to automate various stages of RFIC design workflows, including simulation setups, data collection processes, and verification procedures.
• Model Implementation: Collaborate with engineers to implement tools like Langchain and LlamaIndex for enhancing data flow between applications and LLMs.
• Research & Documentation: Conduct research on emerging technologies in AI/ML frameworks and their application to the semiconductor industry.

 

Competency Requirements

In order to perform the job successfully, an individual should demonstrate the following competencies:

• Critical Thinking: Skilled at finding logical flaws in arguments and plans; identifies problems and solutions that others might miss; provides detailed insight and constructive criticism into problems and complex situations 

• Working with Ambiguity: Achieves forward progress in the face of poorly defined situations and/or unclear goals; able to work effectively with limited or partial information 

• Displaying Technical Expertise: Keeps his/her technical skills current; effectively applies specialized knowledge and skills to perform work tasks; understands and masters the technical skills, knowledge, and tasks associated with his/her job; shares technical expertise with others

• Driving for Results: Aggressively pursues challenging goals and objectives; will to put