The Job

Engineer, Staff – Ambient AI Technology

Technology, Data & Digital · Software & Web Development · Software Engineering

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In short

Qualcomm seeks a Staff Engineer to lead the architecture and evolution of Ambient Perception frameworks and AI runtime platforms on edge devices. This role involves defining and delivering the future of context-aware AI experiences with a focus on low-power and privacy. The ideal candidate will have a strong background in software engineering, AI, and embedded systems.

Responsibilities

  • Lead the architecture and evolution of next-generation Ambient Perception frameworks.
  • Develop context awareness engines and multimodal data collection systems.
  • Design secure data delivery and storage architectures.
  • Create low-power AI runtime platforms for edge devices.
  • Influence software architecture for future AI assistants and proactive experiences.
  • Optimize heterogeneous computing frameworks across CPU, DSP, and NPU.
  • Integrate and optimize the Ambient Perception Platform across Android, Linux, Windows, XR, automotive, and IoT.

Requirements

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
  • Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
  • PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
  • 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Desired Qualifications

  • Bachelor’s degree in computer science, Computer Engineering, Electrical Engineering, or related field.
  • 8–12+ years of combined software architecture, embedded systems development, and platform integration experience.
  • Strong programming skills in C, C++, and Python.
  • Experience developing software on ARM-based and heterogeneous SoC architectures.
  • Proven experience leading architecture design, technical roadmaps, and cross-functional engineering initiatives.
  • Experience architecting SDKs, middleware, or platform frameworks for AI-enabled applications.
  • Strong understanding of Ambient Perception, context-aware computing, and multimodal sensing systems.
  • Knowledge of On-Device AI workload optimization across CPU, DSP, NPU, and GPU architectures.
  • Experience developing software on ARM, DSP, and heterogeneous computing platforms.
  • Strong understanding of low-power system design, workload offloading, and always-on architectures.
  • Experience with power, performance, memory, and latency optimization for edge AI applications.
  • Familiarity with IPC, shared memory frameworks, and heterogeneous compute scheduling.
  • Experience with Linux kernel architecture, driver development, and system debugging.
  • Familiarity with AI safety, model governance, privacy-preserving AI, and responsible AI deployment practices.

Benefits

  • Competitive annual discretionary bonus program.
  • Opportunity for annual RSU grants.
  • Highly competitive benefits package designed to support success at work, at home, and at play.
  • Access to US benefits details via provided link.
#AI#Ambient AI#Technology#Software Engineering#Edge AI
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Company

Qualcomm

Job Posted

2 weeks ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Senior

Locations

San Diego, United States of America

Qualification

Bachelor, Master, Doctoral

Applicants

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