DSP Applications Software Engineer

Qualcomm

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Austin, TX
Salary
$133,900–$200,900 / yr
Posted
34 days ago
Freshness
Confirmed live today
Closes
Mar 22, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $167k
This role $167k
$120k $210k
below market most similar roles pay here above market

This role pays more than 55% of similar roles. Most pay $137,000–$197,500 — the blue band above. At the midpoint, this role pays about $167k versus about $167k 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 575 open roles on FindRole.

Listed pay typically runs $147,900–$221,900 across 550 roles with salary data.

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At a glance

TL;DR · DSP Applications Software Engineer

The DSP Applications Software Engineer joins the DSP Architecture and Design team to develop Qualcomm AI solutions. This role involves collaborating with the architecture team to define the next generation NSP while enabling state of the art network models and new AI software features to meet specific customer use-cases. The engineer will develop the AI software stack on the Qualcomm NSP, focusing on evaluating and optimizing neural network runtime performance and accuracy. Key technical requirements include experience in embedded systems development, C/C++, and Python. Candidates should possess familiarity with AI/ML frameworks such as Pytorch, Tensorflow, and ONNX, along with a background in mathematical algorithms using fast math libraries and vector instruction sets. The position requires high-performance microprocessor design experience to solve complex AI software challenges.

What you'll do

  • Define next-generation NSP specifications in coordination with the architecture team.
  • 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.
  • Implement mathematical algorithms using fast math libraries and vector instruction sets.
  • Debug and troubleshoot complex software issues within the AI/ML framework.

What we're looking for

  • Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 2+ years of relevant work experience.
  • Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 1+ year of relevant work experience.
  • PhD in Electrical Engineering, Computer Science, Computer Engineering, or related field.
  • 2+ years of experience with high-performance microprocessor design.
  • Experience in Embedded systems development (preferred).
  • Experience in C/C++ and Python (preferred).
  • Experience in AI/ML frameworks like Pytorch, Tensor flow, ONNX, etc. (preferred).
  • Background in mathematical algorithms using fast math libraries and vector instruction sets (preferred).

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