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Logitech

Sr. Audio DSP Machine Learning Engineer

LocationChennai, India
Work modeon-site
Typefull-time
SenioritySenior
Experience7+ yrs
DepartmentEngineering
Company size10,000+ people
PostedApr 21, 2026 · 5mo ago
Verified live10h ago
At a glanceSummarised by Seekless from the posting.
Must have5
7+ years of experience working in audio signal processing product teams working hands-on with Audio ML training
Deep understanding of on-device quantization techniques including post-training quantization, training-aware quantization, mixed precision inference
Strong programming skills in c, python
Experience with Production ready Deep Learning Audio Signal Processing approaches for tasks including Speech enhancement / noise suppression / acoustic echo cancellation/ beamforming
Bachelor's or Master's degree in EE, CS with practical experience
Nice to have4
Audio Quality Assessment: Proven experience in designing and executing both subjective and objective audio quality evaluation protocols, including familiarity with industry-standard audio measurement metrics
Audio Artifact Resolution: Demonstrated track record of effectively identifying and resolving audio artifacts within ML audio chains
Technical Leadership & Communication: Excellent communication, documentation, and leadership abilities, particularly in cross-functional technical environments
Initiative & Execution: Highly driven individual with a demonstrated ability to deliver results and lead technically, both independently and as a contributing team member
Skills
Audio ML
C
Python
ARM
Tensilica DSP
RISC-V
NPUs
Deep Learning
About the company
Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.
About the role
The Role :
As an Audio ML Engineer on the Logitech Hardware Audio ML and DSP Product team, you will be instrumental in developing Embedded Audio ML models that create innovative audio experiences for our customers [ e.g. Speech/Audio enhancement] . This role offers a significant opportunity to contribute directly to the audio products we develop.
Responsibilities
Your Contribution:
Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech.
In this role you will:
•
Train and develop highly optimized Audio ML models for efficient deployment on resource-constrained embedded platforms (e.g., ARM, Tensilica DSP, RISC-V, NPUs).
•
Utilize techniques like quantization [PTQ and QAT], and pruning to ensure effective on-device inference.
•
Responsible for optimizing and improving algorithm performance in real-world conditions – demonstrating innovative solutions to tough challenges.
•
Work with cross-functional product team to deliver seamless customer audio experience.
Requirements
Key Qualifications:
For consideration, you must bring the following minimum skills and experiences to our team:
•
7+ years of experience working in audio signal processing product teams working hands-on with Audio ML training.
•
Deep understanding of on-device quantization techniques including post-training quantization, training-aware quantization, mixed precision inference.
•
Strong programming skills in c, python.
•
Experience with Production ready Deep Learning Audio Signal Processing approaches for tasks including Speech enhancement / noise suppression / acoustic echo cancellation/ beamforming
Nice to have
Additional Skills:
•
Audio Quality Assessment: Proven experience in designing and executing both subjective and objective audio quality evaluation protocols, including familiarity with industry-standard audio measurement metrics.
•
Audio Artifact Resolution: Demonstrated track record of effectively identifying and resolving audio artifacts within ML audio chains.
•
Technical Leadership & Communication: Excellent communication, documentation, and leadership abilities, particularly in cross-functional technical environments.
•
Initiative & Execution: Highly driven individual with a demonstrated ability to deliver results and lead technically, both independently and as a contributing team member.
Education:
•
Bachelor’s or Master’s degree in EE, CS with practical experience.
Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.
Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!
Benefits
We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.
Legal
All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.
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