Staff Software Engineer, AI/Machine Learning

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

As a Staff Software Engineer specializing in AI/ML, you will be entrusted with end-to-end ownership of designing, developing, and deploying state-of-the-art AI/ML solutions, leveraging large language models (LLMs) such as GPT4.1, Llama, and Gemini. You will architect and spearhead the creation of advanced Agent frameworks, applying Agentic AI principles to enable autonomous decision-making and task execution. With full autonomy, you will shape and implement systems that drive the automation of RFIC design workflows, directly influencing efficiency and accuracy outcomes. This is a leadership role for an expert contributor who thrives on accountability throughout the entire product lifecycle—from concept and prototyping to scalable deployment and continuous improvement. You will operate at the forefront of RFIC innovation, powering next-generation technologies such as 5G and beyond.

 

Roles & Responsibilities

This position has responsibility for:

• Backend Development: Architect, implement, and maintain robust APIs and backend systems for seamless LLM integration, utilizing frameworks such as Flask and FastAPI. Take full responsibility for backend database infrastructure, including the design, scaling, and optimization of SQL, NoSQL, and vector databases.
• Agent Frameworks: Exercise full ownership over the conception, design, and realization of intelligent, agent-based systems using Agentic AI principles (Langchain, OpenAI Agents, Google ADK). Define and set technical direction, ensuring systems operate autonomously and reliably.
• Data Management: Direct all backend software initiatives related to data management, including designing and implementing database infrastructures and RAG (Retrieval-Augmented Generation) systems to optimize LLM performance.
• RFIC Design Automation: Oversee, architect, and continuously improve scalable software architectures that automate key stages of RFIC design, such as simulation, data collection, and verification. Champion automation to drive measurable impact on workflow efficiency and design accuracy.
• Model Implementation: Serve as the technical authority collaborating across engineering teams to integrate and operationalize advanced AI models (GPT, Gemini, Claude, Llama, etc), ensuring autonomous data flow and system intelligence.
• Research & Documentation: Independently investigate and assess emerging AI/ML technologies and frameworks, proactively identifying opportunities to apply them within the semiconductor industry. Produce clear, actionable documentation to disseminate knowledge and drive adoption across teams.

 

Minimum Qualifications (Experience and Skills)

• Typically requires 8+ years of progressive, hands-on experience in software engineering, with a focus on AI/ML systems.
• Deep proficiency in Python/Java/C++, with extensive background in object-oriented software design, debugging, and optimization.
• Demonstrated expertise in building, deploying, and scaling AI/ML applications, including deep learning, generative AI, LLMs, and multi-agent systems.
• Experience defining technical direction and leading Agile, cross-functional teams on complex projects.
• Exceptional written and verbal communication skills, with a proven ability to document and present technical designs and decisions.
• Track record of independent, high-impact contributions to AI/ML projects.

 

Preferred Qualifications

• Direct experience with CMOS and/or RF circuit design.
• Advanced knowledge of cloud platforms (AW