DSP Applications Software Engineer

Qualcomm

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Austin, TX
Salary
$154,000–$231,000 / yr
Posted
43 days ago
Freshness
Confirmed live 2 days ago
Closes
Jan 26, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $175k
This role $192k
$121k most similar roles pay here $243k

This role pays more than 65% of similar roles. Most pay $137,000–$212,500 — the shaded band above. At the midpoint, this role pays about $192k 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 while enabling 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, as well as developing the AI software stack on Qualcomm NSP. The ideal candidate possesses experience in embedded systems development and high-performance microprocessor design. Technical proficiency includes C, C++, and Python, with additional benefits for those familiar with PyTorch, TensorFlow, ONNX, mathematical algorithms using fast math libraries, and vector instruction sets. This position focuses on the technical challenge of optimizing AI software performance and integrating advanced neural network models into specialized hardware architectures.

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 with 4+ years of experience, Master's with 3+ years, or PhD with 2+ years in a relevant engineering field.
  • At least 2 years of experience with high-performance microprocessor design.
  • Experience in embedded systems development.
  • Proficiency in C/C++ and Python programming languages.
  • Experience with AI/ML frameworks such as PyTorch, TensorFlow, or ONNX.
  • Background in mathematical algorithms using fast math libraries and vector instruction sets.
  • Strong problem-solving, analytical, and debugging skills.
  • Excellent verbal, written, and presentation communication skills.

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