# Sr. Audio DSP Machine Learning Engineer

**Company**: Logitech
**Location**: Chennai
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q223127

**Apply**: https://logitech.wd5.myworkdayjobs.com/en-US/Logitech/job/Chennai-India/Sr-Audio-ML-Engineer_144985?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f433f9de-062

## Description

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. This role offers a significant opportunity to contribute directly to the audio products we develop.

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 behaviours 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.

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

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.

## Skills

### Required
- Audio ML training
- Quantization (PTQ and QAT)
- Pruning
- ARM
- Tensilica DSP
- RISC-V
- NPUs
- C
- Python
- Production ready Deep Learning Audio Signal Processing
- Speech enhancement
- Noise suppression
- Acoustic echo cancellation
- Beamforming

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