Speech and Audio Systems Engineer

Qualcomm

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$122,500–$183,700 / yr
Posted
8 days ago
Closes
Dec 1, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $183k
This role $153k
$111k most similar roles pay here $232k

This role pays less than 70% of similar roles. Most pay $150,000–$216,250 — the shaded band above. At the midpoint, this role pays about $153k versus about $183k 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 660 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 429 roles with salary data.

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At a glance

TL;DR · Speech and Audio Systems Engineer

Qualcomm Technologies' Robotics Audio R&D/Systems team in San Diego is hiring a senior engineer to develop and maintain advanced AI models for speech enhancement and acoustic echo cancellation in robotics and automotive systems. The role involves cutting-edge research with linear and distributed microphone arrays, multi-rate signal processing, and adaptive beamforming techniques. Daily tasks include prototyping new algorithms, filing patents, and publishing papers on innovative voice interaction technologies. Candidates should have expertise in deep learning methodologies such as CNNs, RNNs, and autoencoders, along with proficiency in PyTorch for AI model development. Additional strengths in signal processing and experience with Adobe Audition are beneficial. The team works across various consumer devices, including smartphones, headsets, IoT gadgets, and automotive applications, addressing a wide range of audio technology challenges.

What you'll do

  • Develop advanced AI models for speech enhancement and acoustic echo cancellation.
  • Conduct research on multi-microphone systems for directional voice pickup and noise suppression.
  • Apply deep learning techniques like CNNs and RNNs to enhance audio technologies.
  • Prototype new algorithms for hands-free voice calls and zonal voice communications.
  • File patents and publish papers on innovative AI-driven speech enhancement solutions.

What we're looking for

  • Extensive experience in deep learning techniques including CNNs, RNNs, and autoencoders.
  • Expertise in advanced signal processing, multi-rate processing, and adaptive beamforming.
  • Proficiency in developing AI models for speech enhancement, noise suppression, and echo cancellation.
  • Experience with linear and distributed microphone arrays for speech detection and directionality.
  • Strong background in audio technology research and development across robotics and automotive domains.
  • Ability to prototype and demonstrate innovative research concepts effectively.
  • Publication record in IEEE or other scholarly venues related to voice AI technologies.

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