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Wireless Research Scientist

External
Boschgroup logoBoschgroup · Sunnyvale, CA
$140K–$160K/yrFull-timeOn-site1mo ago30+ days old, may be filled
Machine LearningPython
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Requirements

  • PhD in Computer Science or Electrical Engineering
  • Experience in wireless communication, signal processing and machine learning.
  • Experience in wireless sensing techniques: RSSI, ToF, CSI, CIR
  • Experienced in using different machine learning libraries and tools
  • Experience with wireless standards (IEEE 802.11x, 802.15.4, BLE)
  • Strong C and Python programming skills
  • Embedded programming experience is a big plus
  • Excellent communication and collaboration skills
  • Equal Opportunity Employer, including disability / veterans.
  • *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
  • For more information on our culture and benefits, please visit:
  • Culture and Benefits | Bosch in the USA
  • #LI-JM1

Benefits

Health insuranceDental insuranceVision insurance401(k)Flexible scheduleParental leave

Additional Information

Job Responsibilities: Drive applied research in the area of next generation communication and sensing systems Design and develop innovative intelligent wireless solutions with focus on advanced signal processing and AI/ML. Design and develop software to implement proof of concept prototypes. Conduct performance analysis and feasibility studies using simulations, experiments, analytical modeling. Closely monitor state-of-the-art developments in academia, industry, and standardization activities (e.g. ZigBee, Wi-Fi, Bluetooth, UWB, etc.) Present results to management and others in organization. Develop and drive innovative ideas from scouting to projects Publish research work in the form of patents and conference/journal publications Work in a highly diverse, international, and cross disciplinary environment.


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