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Audio Phd Jobs (NOW HIRING)

NEURA Robotics

An excellent Master's or PhD in Computer Science, Electrical Engineering, Computational Linguistics, or a related field. * 3+ years of professional experience in audio‑related AI engineering. * A ...

PHD Services LLC

AV Technician

Peoria, IL · On-site

$23 - $25/hr

PHD Services is seeking an Audio Visual and Facility Support Specialist to support corporate office environments and conference facilities. This position is responsible for maintaining ...

femtoAI

Audio Deep Learning Engineer

San Bruno, CA · On-site

Design, develop, and deploy deep-learning-based and classical DSP audio algorithms for our SPU ... PhD, or equivalent work experience). * Experience in hybrid AI / DSP algorithm development is a ...

HARMAN International

Audio ML Engineer (Research)

MS or PhD in CS/EE/Statistics/Applied ML (or BS with strong equivalent experience). • Experience: 5+ years applied ML engineering experience; 2+ years specifically in audio/speech or time-series ML ...

Qualcomm

Sr. Staff Audio Engineer

San Diego, CA · On-site

OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of ... Audio Frameworks: Hands-on experience with Android Audio Framework (AudioFlinger ...

Apple

Senior Audio Systems Architect

Cupertino, CA

$184K - $324K/yr

The Audio & Media Technologies group is at the center of audio for all of Apple's innovative ... Preferred Qualifications MS or PhD in Computer Science, Electrical Engineering, or related field.

Shure

Audio Test Engineering Intern

Skokie, IL · On-site +1

$23 - $43/hr

The Audio Test Intern will work closely with Product Development and Product Management to evaluate ... PHD, etc). WE GOT YOU - Our Benefits At Shure, we prioritize the well-being of our associates.

Shure

Audio Test Engineering Intern

Skokie, IL · On-site

$23 - $43/hr

The Audio Test Intern will work closely with Product Development and Product Management to evaluate ... PHD, etc). WE GOT YOU - Our Benefits At Shure, we prioritize the well-being of our associates.

Apple

Senior Audio Systems Architect

Cupertino, CA · On-site

The Audio & Media Technologies group is at the center of audio for all of Apple's innovative ... Preferred Qualifications MS or PhD in Computer Science, Electrical Engineering, or related field.

Shure

Audio Test Engineering Intern

Skokie, IL · On-site +1

$23 - $43/hr

The Audio Test Intern will work closely with Product Development and Product Management to evaluate ... PHD, etc). WE GOT YOU - Our Benefits At Shure, we prioritize the well-being of our associates.

Shure

Audio Test Engineering Intern

Skokie, IL · On-site +1

$23 - $43/hr

The Audio Test Intern will work closely with Product Development and Product Management to evaluate ... PHD, etc). WE GOT YOU - Our Benefits At Shure, we prioritize the well-being of our associates.

Shure

Audio Test Engineering Intern

Skokie, IL · On-site

$23 - $43/hr

The Audio TestIntern will work closely with Product Development and Product Management to evaluate ... PHD, etc). WE GOT YOU - Our Benefits At Shure, we prioritize the well-being of our associates.

Mosaic.tech

Research, Audio Expertise

San Francisco, CA · On-site

$350K - $475K/yr

You'll explore how audio models enable more natural and efficient communication/collaboration ... PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with ...

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How much do audio phd jobs pay per year?

As of Sep 12, 2026, the average yearly pay for audio phd in the United States is $84,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $113,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Audio Phd job openings in the United States as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution, with an average salary of $84,456 per year, or $40.6 per hour.

Audio AI Engineer (human)

On-site

NEURA Robotics
See more jobs at NEURA Roboticsexternal

Other

Posted 11 days ago

Job description

Hearing is essential to how a robot understands and responds to the world. At NEURA Robotics, audio is a first-class modality: spoken instructions, contact sounds, and ambient cues all inform autonomous action. As Audio AI Engineer, you own the real‑time audio pipeline on the robot, the models that turn sound into meaning, and the voice interface that lets people speak to our humanoids the way they would to another person.

The role can emphasize conversational AI, audio ML modeling, or embedded audio DSP. We expect depth in at least one area and breadth across the others; you will lead where strongest and collaborate with AI and hardware teams on the rest.

Your mission & challenges
  • Voice Interaction Stack: You build and own the edge‑to‑cloud hybrid automatic speech recognition, text‑to‑speech, wake‑word, voice activity detection, and natural language understanding pipelines that connect the human voice to our robot's cognitive core, optimizing for low latency, multi‑speaker scenarios, and noisy real‑world environments.
  • Audio Encoder Research: You design, train, and integrate audio encoders that feed our foundation models, and develop the ambient and contact‑acoustic event recognition that gives our robot situational awareness.
  • Real‑Time Audio Pipeline: You architect the shared audio substrate from microphones to model input - acquisition, denoising, beamforming, source separation, and tight synchronization with vision and proprioception streams - and optimize it for our on‑robot compute and latency budgets.
  • Models, Data & Evaluation: You evaluate, fine‑tune, and deploy state‑of‑the‑art models across speech and general audio, drive data collection from real deployments, and build the evaluation infrastructure that turns recordings into measurable model improvements.
  • Sensor Strategy & Integration: You help select and qualify audio hardware (mic arrays, contact and tactile microphones, ADC frontends) with the hardware team, define calibration and mounting requirements, and ensure clean integration with the AI, hardware, and agentic stacks.
What we can look forward to
  • An excellent Master's or PhD in Computer Science, Electrical Engineering, Computational Linguistics, or a related field.
  • 3+ years of professional experience in audio‑related AI engineering.
  • A proven track record: your projects show measurable impact, whether through publications, shipped systems, or both.
  • Depth in at least one of the following, with curiosity and breadth across the others:
    • Conversational AI: ASR, TTS, NLP/NLU, dialogue systems, real‑time speech systems with LLMs.
    • Audio ML modeling: audio representation learning, multimodal / VLA foundation models with an audio branch, generative audio.
    • Embedded audio DSP: real‑time signal processing, mic‑array processing, low‑level audio I/O, quantized inference for on‑device deployment.
  • Strong programming skills in Python; solid C/C++ a plus for real‑time and on‑device work.
  • Familiarity with ROS or robotics middleware is a plus.
  • Experience with agentic frameworks and LLM tool‑use is a plus.
  • Experience with audio simulation, room acoustics, or spatial audio is a plus.
  • Hands‑on experience setting up audio recording equipment for ML data collection (microphone selection, placement, calibration) is nice to have.
  • Team spirit, initiative, and the ability and willingness to explore new paths.
  • Excellent English skills; German is optional but welcome.
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