Qualcomm

Senior Engineer / Engineer – GenAI / AI Engineering, Networking & Linux

Qualcomm
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4 days ago
Hsinchu, TaiwanSenior

Responsibilities

  • Build AI-powered engineering tools, automation, and prototypes using GenAI, LLM, and AI technologies.
  • Apply AI to intelligent debugging, issue diagnosis, log analysis, test automation, workflow automation, and engineering productivity.
  • Develop and debug Linux/OpenWrt-based networking products and software.
  • Evaluate emerging AI technologies and integrate practical capabilities into engineering workflows.
  • Collaborate cross-functionally to solve complex networking and systems engineering problems.

Requirements

  • 3+ years of software, systems, networking, or AI engineering experience is required in the general qualifications.
  • Strong hands-on experience with GenAI/LLMs and AI/ML technologies is required.
  • Strong Python programming skills are required; C, C++, or Go experience is a plus.
  • Strong Linux/OpenWrt development and debugging experience is required.
  • Knowledge of Ethernet, IP, TCP/UDP, VLAN, QoS, and multicast is required.
  • Basic IP networking and TCP/UDP protocol knowledge is required, with Wi-Fi and IEEE 802.11 familiarity preferred.
  • A bachelor's degree in Engineering, Information Systems, Computer Science, or a related field with 2+ years of related experience, a master's degree with 1+ year, or a PhD is required.
  • At least 2 years of academic or work experience with a programming language such as C, C++, Java, or Python is required.
  • Strong problem-solving, debugging, independent evaluation, and cross-functional collaboration skills are required.
Qualcomm

About Qualcomm

10,000+ employees

Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.

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