DSP Applications Software Engineer

Qualcomm

Confirmed live 2 days ago Trusted

Quick summary

Work type: On-site
Location: Austin, TX
Salary: $127,200–$190,800 / yr
Posted: 87 days ago
Freshness: Confirmed live 2 days ago
Closes: Dec 13, 2026
Nearby: 99+ roles within 25 mi

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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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At a glance

TL;DR · DSP Applications Software Engineer

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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 develops the AI software stack on the Qualcomm NSP platform. Daily responsibilities include enabling state of the art network models and new AI software features to meet specific customer use cases while evaluating and optimizing neural networks for both runtime performance and accuracy. The ideal candidate possesses experience in embedded systems development, C/C++, and Python. Proficiency with AI/ML frameworks such as PyTorch, TensorFlow, or ONNX is preferred, along with a background in mathematical algorithms using fast math libraries and vector instruction sets. This role focuses on the technical challenge of optimizing neural network performance within high-performance microprocessor environments to support advanced artificial intelligence features.

Skills

C++ Python Pytorch Tensor flow ONNX Embedded Systems DSP Neural Networks Vector Instruction Sets High-Performance Microprocessor Design Mathematical Algorithms

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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