AI Infrastructure Software Engineer

Qualcomm

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$94,200–$141,200 / yr
Posted
43 days ago
Freshness
Confirmed live 2 days ago
Closes
Jan 26, 2027
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $190k
This role $118k
$77k most similar roles pay here $253k

This role pays less than 96% of similar roles. Most pay $144,350–$235,750 — the shaded band above. At the midpoint, this role pays about $118k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 623 open roles on FindRole.

Listed pay typically runs $148,300–$222,500 across 603 roles with salary data.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · AI Infrastructure Software Engineer

Role Posting Log in to save

The #AI Infrastructure Software Engineer joins the AI Infrastructure team to develop embedded software across the full system stack on Snapdragon processors. This role involves designing and implementing core software frameworks that power machine learning inferencing, computer vision, automotive systems, and multimedia workloads. The engineer will tackle low-level challenges including inter-processor communication, memory management, execution environments, concurrency management, and DSP acceleration frameworks while debugging and profiling performance across diverse hardware environments. Candidates should possess strong programming skills in C, C++, Java, or Python, alongside a solid understanding of computer architecture, operating systems, and real-time operating systems. Experience with Linux, Android, or Windows platforms is required to support the development of high-performance, power-efficient computing solutions for AI and multimedia applications on heterogeneous processing environments.

Skills

C C++ Python Java Embedded Systems RTOS Linux Android Windows DSP IPC Memory Management Concurrency Machine Learning Computer Vision System Optimization

What you'll do

  • Design and implement embedded system software across multiple layers of the software stack.
  • Develop and optimize inter-processor communication (IPC) and memory management solutions.
  • Build software frameworks to enable efficient DSP acceleration for AI and multimedia workloads.
  • Debug, profile, and optimize system performance across diverse hardware and software environments.
  • Solve low-level problems involving concurrency management and execution environments.
  • Develop high-performance, power-efficient computing solutions for Snapdragon platforms.

What we're looking for

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or a related technical field.
  • Strong programming skills in one or more languages such as C, C++, Java, or Python.
  • Solid understanding of computer architecture, operating systems, and embedded systems concepts.
  • Knowledge of real-time operating systems (RTOS) and concurrent software design.
  • Experience with software debugging, performance analysis, and system optimization techniques.
  • Familiarity with multimedia, compute, and driver frameworks on Linux, Android, or Windows platforms.
  • Experience developing software for multicore or heterogeneous processing environments.
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

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