Connected Vehicle Researcher - Vehicular System and Applications

Job Description Hybrid: This position is located in Warren, MI & requires an employee to be onsite 3-4 times per week. Who You Are: As a member of the Connected Vehicle Experience Research Lab, you will be working with the Connected Vehicle System group. You will be applying your expertise in connected and autonomous vehicles, wireless communication, infotainment, robotics, and data science for developing innovative approaches to enhance customer experience through wireless connectivity. As a researcher in this group, you will implement your solutions in wireless communication and publish your research findings in peer-reviewed journals to extend the reach of General Motors’ development of next‑generation technology. This will also include interfacing with universities, research institutes, and other advanced technology laboratories to build a network for amplifying your research. What You Do: Develop connected vehicle systems and applications for safety, infotainment, and robotics Develop and implement new vehicular applications and services in prototyping systems Develop and implement vehicular network protocols prototyping systems. Preferably, a candidate should be able to implement research ideas in functioning wireless prototypes on GM research vehicles or robotic systems Customize operating systems and software architectures that facilitate and support vehicular communication applications Evaluate and analyze the developed protocols, systems and application services either via extensive simulations or via empirical experimental measurements Document research work through internal and external publications Facilitate technology transfer via active participation in cross‑functional teams What You Need: Green Card Holder or US Citizen Master’s degree in computer science or electrical engineering Research experience in at least one of the following areas: mobile systems and applications, wireless communication, wireless network protocols, cyber‑physical systems, wireless sensor network, intelligent transportation system, data science, or other related areas Strong theoretical, experimental or software programming skills What Would be Even Better: PhD degree in a related area Hands‑on experience building empirical systems to develop connected vehicle systems Hands‑on experience with cloud and edge computing Hands‑on experience with socket programming Experience with data analysis or AI/Machine Learning for engineering applications. Demonstrates leadership in field of study, extra‑curricular activities, or service organizations #J-18808-Ljbffr General Motors