DSP Applications Software Engineer

Qualcomm

Quick summary

Work type
On-site
Location
Austin, TX
Salary
$127,200–$190,800 / yr
Posted
1 day ago
Closes
Dec 13, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $165k
This role $159k
$119k most similar roles pay here $206k

This role pays less than 52% of similar roles. Most pay $137,225–$192,506 — the shaded band above. At the midpoint, this role pays about $159k versus about $165k 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 753 open roles on FindRole.

Listed pay typically runs $152,950–$231,000 across 436 roles with salary data.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · DSP Applications Software Engineer

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The DSP applications software engineer role at Qualcomm Technologies involves working in a team dedicated to developing the company’s AI solutions. This position requires collaborating with architecture teams to define next-generation NSP and enabling cutting-edge network models and features to address customer needs. Day-to-day responsibilities include evaluating and optimizing neural networks for runtime performance and accuracy, as well as developing the AI software stack on Qualcomm NSP. Ideal candidates have experience in embedded systems development using C/C++ and Python, along with familiarity with AI/ML frameworks such as PyTorch and TensorFlow. Strong mathematical skills and proficiency with fast math libraries and vector instruction sets are beneficial, alongside excellent problem-solving and communication abilities.

Skills

C/C++ Python PyTorch TensorFlow ONNX fast math libraries vector instruction sets CI/CD

What you'll do

  • Define next generation NSP in collaboration with architecture team.
  • Enable state-of-the-art network models to meet customer use-cases.
  • Evaluate and optimize neural networks for runtime performance and accuracy.
  • Develop AI software stack on Qualcomm Neural Stim Processing (NSP).
  • Implement new AI software features based on emerging technology trends.

What we're looking for

  • Experience in embedded systems development.
  • Proficiency in C/C++ and Python programming languages.
  • Knowledge of AI/ML frameworks such as PyTorch, TensorFlow, ONNX.
  • Ability to evaluate and optimize neural networks for performance and accuracy.
  • Strong problem-solving skills with attention to detail.
  • Excellent verbal, written, and presentation communication skills.

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