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Logitech - Principal Audio ML Engineer - Signal Processing

Logitech - Principal Audio ML Engineer - Signal Processing

LogitechChennai
9 hours ago
Job description

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.
  • (ref : hirist.tech)

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