Engineering Internship: Hands-on functional safety and AI models

Context

The central Functional Safety department, based in Toulouse, responsible for the functional safety of NXP Hardware and Software components is searching for a candidate to perform a 6 months internship to work on Functional Safety Analysis for safety-relevant systems implemented using Machine Learning models and/or using Machine Learning models to identify safety-relevant faults.

The increasing number of advanced driving functions and the future perspective of autonomous vehicles strengthen the need of Machine Learning. There is an increased focus on ensuring that the hardware in which AI runs is robust and does not introduce faults into the functions. Functional safety is an emerging topic with regards to AI, in which the required ASIL will likely be “D.” (automotive standard ISO26262).

Your responsibilities

The intern will be responsible for/perform one or more of the following tasks :

• Train a model to detect faults using existing data
• Using a pre-trained model, optimize it for an NXP target and deploy it.
• Execute functional safety analyses on existing Machine Learning algorithm
• Prove the effectiveness of the obtained results using Software fault injection techniques

Your profile

• Last year of Engineering school (M2) in electronics, embedded systems, digital design, and/or Machine Learning etc.
• Working knowledge of C/C++ for embedded systems
• Working knowledge of SysML and/or UML
• Working knowledge of Machine Learning
• Basic knowledge of digital architecture
• Some knowledge on methods of AI acceptability, explainability, interpretability, and/or certification is a plus
• Some knowledge of Functional Safety is a plus.
• Most of the work will be done in English; A good level is required, working in an international multi-site team.