Senior Audio ML Engineer

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 youll 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.

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.
• 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 APIs.
• 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 DSPs and NPUs.
• Familiarity with Deep Learning Audio Signal Processing approaches for tasks including Speech enhancement / noise suppression / voice pickup

Additional Skills:

• 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

Education

• Minimum Engineering degree in EE, CS or equivalent practical experience.