Senior Audio ML engineer
Job Summary
Job Description
Logitech seeks a Senior Audio ML Engineer with 7+ years of experience in audio signal processing. Expertise in TinyML, embedded ML, and neural network algorithms is crucial. Experience with audio measurements, hardware product teams, and communication skills are essential.
Must have:
- Audio Signal Processing
- TinyML / Embedded ML
- Neural Network Algorithms
- Audio Measurements
Good to have:
- Linux, Docker
- CMSIS NN, HIFI NNLib
- Cross-functional Communication
- Problem-solving Skills
Perks:
- Global Impact
- Inclusive Culture
6 skills required
Job Details
About the job
Description
The Role :
In this role you will be part of the Logitech Hardware Audio DSP and ML team developing and will be implementing real-time audio ML solutions to deliver innovative audio experiences to the customer. If you have a strong understanding of Audio DSP and TinyML apply for this role and have a huge contribution on the audio products that 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 behaviors and values you’ll need for success at Logitech.
In This Role You Will
For consideration, you must bring the following minimum skills and experiences to our team:
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.
“All qualified applicants will receive consideration for employment without regard to race, Age, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.”
The Role :
In this role you will be part of the Logitech Hardware Audio DSP and ML team developing and will be implementing real-time audio ML solutions to deliver innovative audio experiences to the customer. If you have a strong understanding of Audio DSP and TinyML apply for this role and have a huge contribution on the audio products that 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 behaviors and values you’ll need for success at Logitech.
In This Role You Will
- Responsible for developing model and inference on resource constrained platforms like Tensilica DSP, ARM and RISCV cores.
- 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.
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.
- Tiny ML / Embedded ML - Hands-on experience porting neural network algorithms from intermediate representations such as Tensor Flow (TFLM), ONNX, etc. onto embedded targets using device-specific compilation tools and/or inference API’s.
- Deep understanding of on-device quantization techniques including post-training quantization, training-aware quantization, mixed precision inference.
- Strong programming skills in c, python.
- Conceptual understanding of how neural network operators map to embedded hardware accelerators such as DSP’s and NPU’s.
- Familiarity with Deep Learning Audio Signal Processing approaches for tasks including Speech enhancement / noise suppression / voice pickup
- Experienced with Linux, Docker.
- Familiarity with CMSIS NN, HIFI NNLib is a plus
- Familiarity with audio measurements and standard subjective/objective audio evaluation metrics.
- Experience working in hardware product teams from product concept to mass production
- Good Audio listening skills and experience detecting audio artifacts.
- Experience communicating effectively in a cross functional environment.
- Strong problem-solving, critical-thinking skills
- Familiarity with code version control practices
- Minimum Engineering degree in EE, CS or equivalent practical experience.
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.
“All qualified applicants will receive consideration for employment without regard to race, Age, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.”
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