Enabling people to do what they do best through innovative technology and digital experiences.

Logitech

Enabling people to do what they do best through innovative technology and digital experiences.



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Senior Audio ML engineer

This role requires 10+ years of experience in audio signal processing/ML.  Must have experience with Tiny ML, Embedded ML and deep understanding of quantization techniques. Strong programming skills in C and Python are essential.

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 About the job
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 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 <ul><li>Responsible for developing model and inference on resource constrained platforms like Tensilica DSP, ARM and RISCV cores.</li><li>Responsible for optimizing and improving algorithm performance in real-world conditions – demonstrating innovative solutions to tough challenges.</li><li>Work with cross-functional product team to deliver seamless customer audio experience. </li></ul>
Key Qualifications For consideration, you must bring the following minimum skills and experiences to our team: <ul><li>Experience leading a ML team with 10+ years of experience working in audio signal processing/ML.</li><li>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.</li><li>Deep understanding of on-device quantization techniques including post-training quantization, training-aware quantization, mixed precision inference.</li><li>Strong programming skills in c, python.</li><li>Conceptual understanding of how neural network operators map to embedded hardware accelerators such as DSP’s and NPU’s.</li><li>Familiarity with Deep Learning Audio Signal Processing approaches for tasks including Speech enhancement / noise suppression / voice pickup </li></ul>
Additional Skills <ul><li>Experienced with Linux, Docker.</li><li>Familiarity with CMSIS NN, HIFI NNLib is a plus</li><li>Familiarity with audio measurements and standard subjective/objective audio evaluation metrics.</li><li>Experience working in hardware product teams from product concept to mass production</li><li>Good Audio listening skills and experience detecting audio artifacts.</li><li>Experience communicating effectively in a cross functional environment. </li><li>Strong problem-solving, critical-thinking skills</li><li>Familiarity with code version control practices </li></ul>
Logitech is the sweet spot for people who are passionate about products, making a mark, and having fun doing it. As a company, we’re small and flexible enough for every person to take initiative and make things happen. But we’re big enough in our portfolio, and reach for those actions to have a global impact. That’s a pretty sweet spot to be in and we’re always striving to keep it that way. 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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