Requirements

Studying towards a BSc or MSc in Electrical/Electronic Engineering, Computer Science, Computer Engineering or a related subject.
Strong programming skills in Python.
Familiarity with LLMs and their APIs, prompt design, embeddings or vector search through coursework, projects or personal work.
Comfortable working in a Linux environment, including the shell, Git and scripting.
Clear written and spoken communication in English.
Curiosity and ability to break an open-ended problem down into measurable steps.
Fluent English language skills (written and verbal).

Nice to Haves

Exposure to IC design flows such as schematic capture, layout, DRC/LVS or simulation, or to EDA tools such as Cadence Virtuoso.
Experience with SKILL, Tcl or another domain-specific scripting language.
Experience with agent frameworks, tool-calling or the Model Context Protocol (MCP).
Understanding of how to evaluate machine-learning systems, such as test-set construction, precision/recall and human-in-the-loop review.
Experience building small web front ends or dashboards.

Develop AI-based tools that help engineers find information and solve problems more quickly.
Connect AI models to the engineering systems and data used day to day by the team.
Assess the quality and reliability of these tools and look for ways to improve them.
Automate repetitive engineering and support tasks.
Document your work and present progress to the team.