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 collaborating with the architecture team to define next-generation neural signal processors (NSP) and enabling state-of-the-art network models to meet customer needs. Day-to-day responsibilities include evaluating and optimizing runtime performance and accuracy of neural networks, as well as developing the AI software stack on Qualcomm NSP. Preferred candidates have experience in embedded systems development with proficiency in C/C++ and Python, along with knowledge of AI/ML frameworks such as PyTorch and TensorFlow. Strong mathematical algorithm skills using fast math libraries and vector instruction sets are also beneficial. This position requires a detail-oriented individual with robust problem-solving abilities and excellent communication skills to tackle complex challenges within the rapidly evolving field of artificial intelligence.

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 Processing System (NSP).
  • Implement new AI software features based on emerging technologies.

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 network performance and accuracy.
  • Strong problem-solving skills with attention to detail.
  • Excellent verbal, written, and presentation communication skills.

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