Speech & Audio Research Engineer

Qualcomm

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$148,300–$222,500 / yr
Posted
80 days ago
Freshness
Confirmed live yesterday
Closes
Dec 20, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $215k
This role $185k
$134k most similar roles pay here $278k

This role pays less than 66% of similar roles. Most pay $174,937–$254,750 — the shaded band above. At the midpoint, this role pays about $185k versus about $215k 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 · Speech & Audio Research Engineer

The Speech & Audio Research Engineer joins the Multimedia R&D Group to develop novel technologies for real-time communication and collaboration. This role involves conducting fundamental research in signal processing and machine learning to create algorithms, models, and systems for natural human-to-machine and human-to-human interaction. Key responsibilities include developing conversational speech codecs for wireless networks, designing embedded neural network models with optimization and quantization, and prototyping communication systems for virtual or augmented reality applications. The position requires expertise in digital signal processing techniques like linear prediction and filter design, as well as deep learning architectures including CNNs, RNNs, LSTMs, and Transformers. Candidates must be proficient in C++, Python, and tools such as TensorFlow or PyTorch. The work focuses on solving technical challenges in speech coding, enhancement, automatic speech recognition, and neural synthesis across mobile, XR, and IoT platforms.

What you'll do

  • Conduct fundamental research in signal processing and machine learning fields.
  • Develop new conversational speech codecs for wireless networks and standardization.
  • Create technologies for real-time communication in virtual and augmented reality applications.
  • Design and implement embedded neural network models including optimization and quantization.
  • Perform systems-level implementation and prototyping of communication systems with live-network testing.
  • Develop algorithms for mobile voice telephony and interactive voice interfaces.
  • Implement speech and audio processing techniques such as enhancement, ASR, and text-to-speech.

What we're looking for

  • A Bachelor's degree in Engineering or a related field with 4+ years of Systems Engineering experience is required.
  • A Master's degree in Engineering or a related field with 3+ years of Systems Engineering experience is required.
  • A PhD in Engineering or a related field with 2+ years of Systems Engineering experience is required.
  • Experience with digital signal processing techniques including modeling, filter design, and statistical signal processing is required.
  • Experience with Deep Learning architectures like CNN, RNN, LSTM/GRU, and Transformer using TensorFlow or PyTorch is required.
  • Proficiency in C/C++ and Python programming within Windows or Unix/Linux environments is required.
  • Expertise in speech and audio signal processing, including ASR, TTS, or neural synthesis is preferred.
  • Experience with embedded software development for ARM, DSP, and neural signal processing hardware is preferred.

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