Edge AI Embedded Systems Architect

Qualcomm

San Diego (CA)

Hybrid

USD 135,000 - 202,000

Full time

6 days ago
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Benefits offered by this job

Competitive bonus program
RSU grants
Comprehensive benefits

Job summary

Qualcomm Technologies, Inc. is seeking a Software Engineer to design, develop, and validate embedded and cloud edge software for next‑generation SoCs and edge AI applications.

You will collaborate with systems, hardware, and test teams to create robust software stacks and reference platforms that meet performance and power targets. The role emphasizes hard real‑time environments, ARM architecture, and high‑level software architectures with opportunities to optimize for energy efficiency and

Qualifications

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
  • Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience.
  • PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
  • 3+ years of work experience with programming languages such as C, C++, Java, Python, etc.

Responsibilities

  • Design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or utility programs.
  • Collaborate with systems, hardware, architecture, test engineers and other teams to design system-level software solutions.
  • Engineer performance requirements and interfaces for edge AI and multimedia use cases.

Skills

Programming languages (C/C++/Java/Py

Education

Bachelor's degree in Engineering/CS/related field
Master's degree in Engineering/CS/related field
PhD in Engineering/CS/related field

Tools

QEMU/Simulators/Emulators

Job description

Qualcomm Technologies, Inc. is seeking a Software Engineer to design, develop, and validate embedded and cloud edge software for next‑generation SoCs and edge AI applications.

You will collaborate with systems, hardware, and test teams to create robust software stacks and reference platforms that meet performance and power targets. The role emphasizes hard real‑time environments, ARM architecture, and high‑level software architectures with opportunities to optimize for energy efficiency and

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