Qualcomm

AI Software Embedded Engineer - Hod Hasharon

Qualcomm
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15 days ago
Haifa, IsraelMid Level

Responsibilities

  • Develop real-time software for Qualcomm AI DSPs supporting generative AI models on Snapdragon platforms.
  • Implement core Qualcomm AI Stack runtime components for inference on low-power, resource-constrained systems.
  • Validate, analyze, and optimize software performance and accuracy for machine learning use cases.
  • Debug complex issues, perform root-cause analysis, and ensure system reliability.
  • Collaborate with cross-functional and globally distributed AI teams.
  • Participate in design reviews, code reviews, knowledge sharing, and continuous improvement.

Requirements

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field; the posting also lists master's and PhD alternatives.
  • At least 3 years of general software development experience or 2 years of related AI DSP experience; the standardized qualifications list 4 years with a bachelor's degree, 3 with a master's degree, or 2 with a PhD.
  • Proficiency in C/C++ software development.
  • Experience developing in a Linux environment.
  • Strong skills in data structures, algorithms, software design, debugging, and testing.
  • Excellent verbal, presentation, and written communication skills.
  • Preferred qualifications include embedded software development, generative AI and LLM architectures, hardware acceleration, edge-device inference, Linux, Android, Windows, and Git-based source control experience.

Tech Stack

CC++GitLinuxWindows
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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