AI/ML Software Engineering Intern for the WiFi & MCU System-on-Chip Hardware Development Group

Change the world. Love your job.
We are seeking an innovative engineer to pioneer AI-powered solutions that will revolutionize hardware development workflows. Join us in building next-generation AI applications that will transform and accelerate the future of HW engineering.

Your responsibilities include:

Join our cutting-edge AI transformation initiative where you will:

• Design and implement sophisticated AI/ML solutions that seamlessly integrate LLM’s into our development ecosystem
• Create applications that automatically process and analyze engineering data, converting raw logs into actionable insights
• Develop autonomous AI agents capable of automating routine engineering tasks and improving team productivity
• Collaborate with worldwide cross-functional engineering teams to research and implement new AI capabilities
• Work on high-impact projects that directly influence our hardware development efficiency

Topic: Generative AI for SoC Design: Accelerating Innovation

The integration of generative AI technologies into System-on-Chip (SoC) design workflows represents a paradigm shift in semiconductor development, offering solutions to the industry's most pressing challenges of complexity, time-to-market pressure, and engineering resource limitations. By leveraging state-of-the-art large language models and AI agents, design teams can now automate repetitive RTL coding, generate optimized microarchitectures based on high-level specifications, and explore design alternatives at unprecedented speeds. This technology enables intelligent verification strategies through automatic test generation that uncovers edge cases human engineers might overlook, while simultaneously capturing expert knowledge that would otherwise remain siloed within experienced designers' minds. As time-to-market pressure intensifies and design complexity grows, these AI-powered approaches have become essential for maintaining productivity and innovation in semiconductor development. This project specifically focuses on applying generative AI techniques to enhance critical front-end design processes, including specification creation, RTL development, and comprehensive verification strategies—ultimately delivering faster development cycles and more robust SoC designs.