DSP Applications Software Engineer

Qualcomm

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Austin, TX
Salary
$127,200–$190,800 / yr
Posted
87 days ago
Freshness
Confirmed live yesterday
Closes
Dec 13, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $175k
This role $159k
$117k most similar roles pay here $223k

This role pays less than 55% of similar roles. Most pay $137,000–$212,500 — the shaded band above. At the midpoint, this role pays about $159k versus about $175k 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.

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View all roles at Qualcomm

At a glance

TL;DR · DSP Applications Software Engineer

The DSP Applications Software Engineer joins the team responsible for developing Qualcomm AI solutions. In this role, the engineer collaborates with the architecture team to define next-generation NSP and works to enable state of the art network models and new AI software features to meet specific customer use cases. Daily responsibilities include evaluating and optimizing neural networks for runtime performance and accuracy while developing the AI software stack on Qualcomm NSP. The position requires expertise in embedded systems development, C/C++, and Python. Candidates should possess experience with AI/ML frameworks such as PyTorch, TensorFlow, or ONNX, along with a background in mathematical algorithms using fast math libraries and vector instruction sets. This role focuses on solving technical challenges within the domain of high-performance microprocessor design to deliver advanced artificial intelligence capabilities.

What you'll do

  • Collaborate with the architecture team to define next-generation NSP designs.
  • Enable state-of-the-art network models and new AI software features for customer use-cases.
  • Evaluate and optimize neural network runtime performance and accuracy.
  • Develop the AI software stack on Qualcomm NSP platforms.
  • Implement mathematical algorithms using fast math libraries and vector instruction sets.
  • Debug and troubleshoot complex issues within embedded systems and high-performance microprocessors.

What we're looking for

  • Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or a related field.
  • Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or a related field.
  • PhD in Electrical Engineering, Computer Science, Computer Engineering, or a related field.
  • At least 2 years of experience in Software, Electrical, or Systems Engineering with a Bachelor's degree.
  • At least 1 year of experience in Software, Electrical, or Systems Engineering with a Master's degree.
  • At least 2 years of experience with high-performance microprocessor design.
  • Experience in embedded systems development and proficiency in C/C++ and Python.
  • Familiarity with AI/ML frameworks like PyTorch, TensorFlow, or ONNX and mathematical algorithms using vector instruction sets.

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