Requirements

• Basic understanding of AI/LLM concepts (prompting, tool/function calling, agent skills, evaluation metrics)
• Software development skills (e.g., Swift, C/C++)
• Ability to document requirements, experiments, and results clearly
• Proficiency in software engineering tools (e.g., version control systems like git, Jenkins)

Nice to Haves

• Knowledge of embedded systems and CPU architectures (e.g., ARM)
• Interest in applying AI to software engineering and developer tooling workflows
• Collaborative, innovative, and creative skills
• Fluent English (English speaking work environment)

What You'll Be Doing

• Designing and building an evaluation framework to compare different strategies for applying Large Language Models to baseband debugging
• Developing tooling to run approaches end-to-end
• Defining metrics to compare approaches across cost, latency, and effectiveness
• Documenting findings and recommendations
• Working on products used by millions of customers daily