Bosch is a global leader in technology and services, providing innovative solutions across various sectors including mobility, home appliances, and industrial technology. The company focuses on sustainability and digitalization, leveraging advanced technologies such as artificial intelligence, electrification, and hydrogen energy to address contemporary challenges. Bosch's commitment to energy efficiency and automated solutions reflects its dedication to enhancing quality of life and contributing to a better future.
Mobility Solutions β’ Industrial Technology β’ Consumer Goods β’ Energy and Building Technology β’ Connected Industries
2 days ago
π California β Remote
π΅ $44 - $66 / hour
π¨βπ Internship
βͺοΈ Entry-level
π€ Artificial Intelligence
Bosch is a global leader in technology and services, providing innovative solutions across various sectors including mobility, home appliances, and industrial technology. The company focuses on sustainability and digitalization, leveraging advanced technologies such as artificial intelligence, electrification, and hydrogen energy to address contemporary challenges. Bosch's commitment to energy efficiency and automated solutions reflects its dedication to enhancing quality of life and contributing to a better future.
Mobility Solutions β’ Industrial Technology β’ Consumer Goods β’ Energy and Building Technology β’ Connected Industries
β’ Design and develop innovative intelligent wireless solutions with focus on AI/ML. β’ Design and develop embedded software to implement proof of concept prototypes. β’ Conduct performance analysis and feasibility studies using simulations, experiments, analytical modeling. β’ Publish research work in the form of patents and conference/journal publications.
β’ Required Qualification: PhD Student in Computer Science or Electrical Engineering. β’ Experience in wireless communication, signal processing and machine learning. β’ Solid background in wireless sensing techniques: RSSI, ToF, CSI, CIR,... β’ Experienced in using different machine learning libraries and tools (e.g. TensorFlow). β’ Strong C and Python programming skills, embedded programming experience is a big plus. β’ Desired Qualification: Knowledge of data augmentation models, GANs and transfer learning.
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