Top 6 Google audio Jobs

Applied AI Engineer, Audio, XR
Google —Mountain View, CA
- $159,000 - $231,000 a year
- Full-time
- Computer Science
- Mid-level
- Master's degree
Staff Embedded Software Engineer, Audio/Firmware
Google —San Jose, CA
- $207,000 - $301,000 a year
- Full-time
- Computer Science
- Engineering
- System design
Senior Staff Software Engineer, Audio Platform, XR
Google —San Jose, CA
- $262,000 - $365,000 a year
- Full-time
- Computer science
- Computer Science
- Engineering
Senior Product Manager, XR Audio
Google —San Jose, CA
- $192,000 - $279,000 a year
- Full-time
- 5 years
- System design
- Bachelor's degree
5d
Senior Design Verification Engineer, Multimedia/AI/ML, Silicon
Google —Mountain View, CA
- $163,000 - $237,000 a year
- Full-time
- Computer science
- Computer Science
- Master's degree

I want to receive the latest job alert for google audio

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

google audio jobs near

Staff Software Engineer jobs in San Jose, CA

Design Verification Engineer jobs in Mountain View, CA

Senior Product Manager jobs in San Jose, CA

Staff Software Engineer jobs in Maryland

Staff Accountant jobs in Nashville, TN

Staff Software Engineer jobs in Dixon, CA

Staff Software Engineer jobs in Oakland, CA

Staff Software Engineer jobs in Boulder, CO

Mechanical Engineer jobs in San Luis Obispo, CA

Design Verification Engineer jobs in California

Design Verification Engineer jobs in Atlanta, GA

Design Verification Engineer jobs in San Jose, CA

Design Verification Engineer jobs in New Jersey

Mechanical Engineer jobs in Appleton, WI

Design Internship jobs in Remote

Stationary Engineer jobs in Sacramento, CA

Ai Developer jobs in Richmond, VA

Ai Developer jobs in Coconut Grove, FL

Ai Developer jobs in Rochester, NY

Independent Contractor Software Developer jobs in Remote

Applied AI Engineer, Audio, XR

Google -
Mountain View, CA

Apply Now

Job Details

Full-time
$159,000 - $231,000 a year

Qualifications

AI models
Software engineering
Master's degree in physics
Computer Science
Signal processing
Bachelor's degree in electrical engineering
Performance optimization
Wearables
Bachelor's degree in Physics
Text-to-speech
Conference papers
Team leadership
Mobile product development
Embedded systems
Software deployment
Generative models
Mid-level
Master's degree
Collaboration with product development teams
Machine intelligence
Cloud-based systems
Doctor of Philosophy
Model deployment
Embedded software
Doctoral degree in computer engineering
Developing large-scale AI models
Engineering research
Design engineering
Computer Engineering
Doctoral degree in physics

Full Job Description

Minimum qualifications:

Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
4 years of experience working in a Machine Learning technical environment.

Preferred qualifications:

Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
Experience designing and implementing real-time ML based voice processing algorithms for embedded systems or mobile platforms.
Technical leadership experience: setting direction, driving business impact.
Expertise in generative AI and speech research, including first-author publications at top AI conferences (e.g., NeurIPS, ICML, InterSpeech, etc.).
Proven track record of optimizing algorithms for performance and low latency.

About the job

As an Applied AI Engineer in the Audio Applied AI Research and Innovation team, you will be at the forefront of defining the future of audio for the Pixel ecosystem. Our mission is to push the boundaries of audio AI, advancing the state-of-the-art in playback, capture, generation, enhancement, and ambient understanding. This role is defined by research-driven innovation and strong engineering principles, where you will bridge the gap between fundamental AI research and deployment in hardware-constrained environments. You will conduct applied research to solve complex audio challenges, working in a highly collaborative environment with cross-functional hardware and software teams to translate research breakthroughs into impactful features for phones, wearables, and future devices.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $159000 - $231000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Innovate in audio machine learning through fundamental and applied research, advancing the state-of-the-art in audio playback, capture, generation, and editing.
Research and develop novel ML models for speech recognition, text-to-speech generation, and real-time speech enhancement.
Design and implement generative models specifically for signal restoration, enhancement, and ambient audio understanding.
Architect, prototype, and scale robust ML architectures for deployment across on-device (mobile/wearable) and cloud platforms.
Collaborate with cross-functional hardware and software teams to translate research breakthroughs into integrated product features.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Apply Now

Refine Your Search

google audio jobs

Applied AI Engineer, Audio, XR

Staff Embedded Software Engineer, Audio/Firmware

Senior Staff Software Engineer, Audio Platform, XR

Senior Product Manager, XR Audio

Senior Design Verification Engineer, Multimedia/AI/ML, Silicon

I want to receive the latest job alert for google audio

Explore jobs in more locations

Minimum qualifications:

Preferred qualifications:

About the job

Responsibilities

Job Seeker Tools

Employer Tools

Browse

Stay Connected