Entry level & Senior Software Engineer, Core AI Software (Onsite)

Qualcomm

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$140,800–$211,200 / yr
Posted
5 days ago
Closes
Nov 28, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $203k
This role $176k
$128k most similar roles pay here $262k

This role pays less than 72% of similar roles. Most pay $169,625–$235,750 — the shaded band above. At the midpoint, this role pays about $176k versus about $203k 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 558 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 401 roles with salary data.

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View all roles at Qualcomm

At a glance

TL;DR · Entry level & Senior Software Engineer, Core AI Software (Onsite)

As a Senior Software Engineer on the Qualcomm AI Stack team, you will play a pivotal role in developing and enhancing the Qualcomm AI Runtime (QAIRT) SDK, focusing on Generative AI Inference Extensions (Genie). Your day-to-day responsibilities include designing core components for efficient inference on resource-constrained platforms, validating software through rigorous testing, and collaborating with cross-functional teams to deliver robust AI solutions. You will leverage C/C++ in a Linux environment to optimize performance and power consumption of AI applications running on Qualcomm’s low-power accelerators, ensuring seamless execution of advanced deep neural networks and large language models. This role requires strong software development skills, including data structure design and algorithm optimization, as well as excellent communication abilities for independent project management.

What you'll do

  • Develop software for Qualcomm AI Stack SDKs to support generative AI models on Snapdragon platforms.
  • Design and implement core components of the QAIRT runtime framework for efficient inference on resource-constrained systems.
  • Validate and optimize performance and accuracy of AI software through detailed testing of machine learning use cases.
  • Assist in feature development and application of machine learning techniques into products, enabling customer solutions.
  • Work independently with minimal supervision to deliver robust AI software solutions.

What we're looking for

  • Experience in developing software for Qualcomm AI Stack SDKs using C/C++.
  • Proficiency in Linux environment and strong software development skills including data structures and algorithms.
  • Ability to design and implement core components of AI runtime framework for inference on constrained systems.
  • Expertise in validating, analyzing, and optimizing performance and accuracy through detailed testing.
  • Collaborative work with cross-functional teams to deliver scalable AI solutions.
  • Independent project or internship experience in software development (entry level) or 2+ years of general software development experience.
  • Excellent communication skills for verbal, presentation, and writing tasks.

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