I nternship Goals
1. Identify and Remove Dead Code and Compilation Flags in NFC firmware repository
• Use static analysis and AI-assisted code navigation to detect unused code paths
and obsolete compilation flags.
• Propose and validate clean-up patches to streamline the codebase and improve
maintainability.

2. Analyze Typical Embedded Real-Time Issues
• Investigate common embedded system challenges such as:
- Unprotected access to shared resources (e.g., global variables, hardware
registers).
- Unsuitable processing within Interrupt Service Routines (ISRs).
• Use AI tools to detect and suggest improvements for these issues.

3. Derive a Static Programming Model from Critical HAL Implementations
• Focus on HW abstraction layers modules that are key for our products (Power,
Clock and IO controllers).
• Analyze usage patterns and derive a static programming model for various use-
cases.
• Validate the model against hardware documentation (e.g., user manuals,
reference guides).

4. Evaluate AI Capabilities on Coverity Reports
• Explore how AI tools can assist in interpreting and resolving issues flagged by
Coverity static analysis.
• Assess the relevance and accuracy of AI-generated suggestions.
• Propose a workflow to integrate AI into the static analysis and bug triage
process.

Candidate Profile
• Final-year Master’s student in electronics, robotics, or software engineering.
• Strong programming skills in C (low-level) and Python (high-level).
• Solid understanding of real-time systems and processor architecture.
• Comfortable working in an international team environment.
• Passionate about programming and eager to explore new technical domains.

More information about NXP in France...