Voice AI platform engineer

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

【Roles and responsibilities】

1. lead AI modules deployment into production environment.

2. co-work with algorithm engineer to optimize module's power consumption and memory requirement

3. responsible for supporting the engineering implementation of the AI algorithms, including C/C++ development, DSP platform porting and optimization, deployment and optimization of NN models based on NPU or CPU, etc.

【Key Interaction with】

AI algorithm development, system firmware

【Must Have】

- Majors in acoustics, signal processing, automation, communication, electronic engineering, and computer science, with a master's degree and above

- 8+ years of work experience on AI module deployment

- Have good English reading and writing skills.

- Proactive and possess teamwork spirit, self-motivation ability, and good communication skills.

- Familiar with the basic principles of speech algorithms, with a deep understanding of AI speech enhancement (noise suppression, echo cancellation, beamforming, sound source localization, blind source separation, reverberation removal, noise reduction).

- Familiar with machine learning frameworks such as TensorFlow or Python and can apply machine learning in the audio field.

【Ideal Candidate】

Has working experience on products such as conference device, Bluetooth speaker, mobile phone and voice communication Apps

Additional Locations:
* Japan - Kanagawa - Yokohama-shi