Summer Intern- Wi-Fi Communication PHY Algorithm Engineer

Company

Qualcomm Semiconductor Limited

Job Area

Interns Group, Interns Group > Interim Intern

Qualcomm Overview

Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.

General Summary

Job Overview

• PHY Layer and system design for next generation wireless connectivity system and features development with focus on Wi-Fi and Bluetooth
• Actively learning new wireless technologies, including MU-MIMO, Beamforming, OFDMA, Distributed RU, etc
• Work with PHY/MAC and HW RD teams in system architecture, module & algorithm design, as well as generation of patents
• Co-existence system design for multiple wireless systems, such as WiFi, BT, Threads, GNSS, and mobile phone SoC
  
  
  

Minimum Qualifications

• BS in Wireless Communication Systems or related field
• Proficient in network performance modeling, simulation, and lab debugging
• Good analytical and communication skills
• Self-motivated, goal oriented, and quick to learn
  
  
  

Preferred Qualifications

• Most importantly: interested in signal processing development and algorithm optimization:
• Insights to signal processing issues from communication theory perspective.
• Dealing with system issues from communication system perspective
  
• Familiarity with wireless standards such as 5G NR/4G LTE, Wi-Fi, Bluetooth, UWB, Thread
• Familiarity with the impact of radio interference on wireless communications systems and mitigation schemes
• Solid background in SW/MAC/PHY architecture and coexistence algorithms and protocols
• Knowledge about RF, PHY and MAC implementation
  
  

In this intern period, we will explore the algorithm optimization opportunities in current design.

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