Summary
Philippe Weingertner is a senior software engineer and R&D leader with nine years in autonomy and AI roles and over two decades total experience across telecommunications, audio processing, and embedded systems. Currently heading Decision Autonomy and AI R&D at Exail, he blends hands-on algorithm and systems work with product-focused architecture from prior roles at Renault, Intel, and modem pioneers like Icera and Sierra Wireless. His background spans deep learning for far-field speech recognition, low-latency Linux kernel audio modules, and cellular protocol stacks—work that contributed to multiple patents and carrier certifications. Philippe pairs advanced academic study (Stanford graduate coursework and a Self-Driving Car Nanodegree) with practical delivery in constrained, safety-critical environments, often turning research prototypes into certified products. Based in Provence-Alpes-Côte d'Azur, he thrives at the intersection of math, code, and real-world systems engineering, bringing rare end-to-end expertise from chips to autonomous vehicles.
9 years of coding experience
25 years of employment as a software developer
M.Sc. in Computer Science, with Telecommunications specialization, M.Sc. in Computer Science, with Telecommunications specialization at ISEP - école d'ingénieurs du numérique
Self-Driving Car Engineer Nanodegree Program, completed on December 7th 2017, Self-Driving Car Engineer Nanodegree Program, completed on December 7th 2017 at Udacity
Graduate studies, Master's Degree, Computer Science: 51 units completed, GPA > 4.0, Graduate studies, Master's Degree, Computer Science: 51 units completed, GPA > 4.0 at Stanford University
German, English, French