Logitech - Principal Audio ML Engineer - Signal Processing

Description :

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.

Role Overview :

You will join Logitechs Hardware Audio DSP and ML Product team to develop real-time Audio ML solutions that redefine customer audio experiences.

The role requires a strong foundation in Audio Machine Learning and Digital Signal Processing.

Responsibilities :

- Lead and Develop Innovative audio signal processing solutions for Multi-Channel Speech enhancement, Acoustic echo cancellation, Audio event classification, Spatial Audio using deep learning techniques.

- Lead and work on the end-to-end ML workflow from Data preparation, Model architecture design, Training, Deployment and evaluation of Audio ML targeting resource-constrained platforms such as Tensilica DSP, ARM, RISCV cores and NPUs.

- Optimize and enhance algorithm performance under real-world conditions by proposing innovative solutions to complex challenges.

- Collaborate with cross-functional product teams to deliver seamless audio experiences for customers.

Key Qualifications :

- 10+ years of experience in Audio signal processing and Machine learning with a proven track record of successfully delivering robust Audio ML solutions on schedule.

- Strong programming skills and hands-on experience using the following languages and ML frameworks : Python, C, TFL/LiteRT, Tensorflow, ONNX, PyTorch

- Strong knowledge of Audio Quality and Intelligibility assessment objective and subjective metrics.

- Adept at identifying audio artifacts and showcasing excellent listening skills.

- Strong leadership skills and experience working collaboratively with cross-functional teams.

- Strong problem-solving and communication skills

Additional Skills :

- Deep understanding of state-of-the-art quantization techniques (e.g., training-aware quantization or mixed precision) to improve runtime efficiency.

- Identify and resolve performance bottlenecks in ML inference on embedded systems.

- Experience working on consumer audio products in the full hardware product lifecycle, including mass production.

- Passionate about Audio ML, being hands on and seeing your work come to life.

- Staying on top of emerging trends.

- Across Logitech we empower collaboration and foster play.