Senior DSP & NPU Software Integration Engineer

Nutanix

San Diego (CA)

On-site

USD 180,000 - 271,000

Full time

14 days+
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Job summary

Qualcomm Technologies, Inc. is seeking a highly motivated Sr.

Staff DSP Software Integration Engineer to join the DSP Platform Software team and lead the integration, validation, and release readiness of embedded DSP and NPU software for AI, camera, audio, and edge use cases. You will collaborate with hardware, firmware, and systems groups across distributed teams to improve development efficiency, automated testing, and deployment readiness while driving operational excellence and scalable

Qualifications

  • 3+ years of programming in C, C++, Python, or Java.
  • Experience developing or integrating software within embedded systems environments.
  • Strong debugging and root cause analysis across software and hardware.

Responsibilities

  • Drive integration, validation, and commercialization of embedded DSP and NPU software solutions across Qualcomm platforms.
  • Debug complex software and system issues in real-time embedded environments.
  • Develop and improve CI, automated testing, and release processes to increase quality and efficiency.
  • Leverage AI-driven tools to enhance build, release, triage, and validation workflows.
  • Manage software configuration and source control using GitHub and related frameworks.
  • Collaborate with hardware, firmware, systems, tools, and architecture teams to resolve issues.

Skills

C
C++
Python
Java

Education

Bachelor's degree in EE/CS/CE or related
Master's degree in EE/CS/CE or related
PhD in EE/CS/CE or related

Tools

Git
GitHub

Job description

Qualcomm Technologies, Inc. is seeking a highly motivated Sr.

Staff DSP Software Integration Engineer to join the DSP Platform Software team and lead the integration, validation, and release readiness of embedded DSP and NPU software for AI, camera, audio, and edge use cases. You will collaborate with hardware, firmware, and systems groups across distributed teams to improve development efficiency, automated testing, and deployment readiness while driving operational excellence and scalable

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