Senior Wireless Connectivity and AI Researcher
General Motors Research Labs is seeking a senior researcher to advance wireless connectivity for future vehicles. The role combines wireless communications, AI and machine learning, data analysis, and automotive applications to improve real-world performance and influence future connectivity systems
Responsabilidades
- Analyze connectivity performance using field data, laboratory measurements, and simulations
- Benchmark performance against commercial off-the-shelf devices and identify performance gaps
- Develop AI/ML and analytical models to improve connectivity robustness and user experience
- Design and evaluate system-level in-vehicle connectivity optimizations across multiple radio technologies
- Influence next-generation connectivity architectures and standards
- Collect, preprocess, and analyze large-scale connectivity datasets
- Develop predictive models for physical-layer, link-level, end-to-end system, and network performance
Requisitos
- PhD in electrical engineering, computer science, mathematics, physics, or a related field
- Strong knowledge of wireless communications, including physical-layer and higher-layer protocols, cellular 4G/5G, WLAN systems, deployment considerations, and KPI trade-offs
- Foundational knowledge of signal processing, probability and statistics, optimization, estimation and detection theory, and information theory
- Demonstrated experience developing and evaluating AI and machine learning models
- Programming proficiency in Python, MATLAB, and C/C++
- Experience with deep learning frameworks such as TensorFlow or PyTorch
Se valora
- Applied research experience and experience transitioning concepts into practical solutions
- System-level simulation or real-world measurement campaign experience
- Knowledge of automotive connectivity use cases and constraints
- Research or standardization contributions, such as publications, patents, or 3GPP/IEEE involvement
Beneficios
- Work on wireless connectivity innovation for current and future vehicles
- Collaborate with multidisciplinary teams across academia and industry
- Contribute to future connectivity architectures and industry standards