
Tuning Specialist – Automotive Audio Signal Processing
4 days ago
We are seeking a highly motivated engineer to specialize in the implementation and tuning of Digital Signal Processing (DSP) algorithms and Machine Learning (ML) models for next-generation in-vehicle audio experiences.
- Primary Responsibilities:
- • Design, develop, and optimize DSP algorithms for automotive audio applications (e.g., noise reduction, echo cancellation, audio enhancement, Zonal Voice etc.).
- • Implement and tune Machine Learning models and audio signal processing modules.
- • Integrate audio algorithms into embedded platforms, ensuring real-time performance and robustness.
- • Use ACQUA, Audio Precision, and other analyzers to objectively assess and tune audio quality and contribute to subjective listening evaluations.
- • Collaborate with cross-functional teams (hardware, software, systems) for algorithm integration and productization.
- • Perform root cause analysis and debugging of audio system issues, proposing and implementing effective solutions.
- • Document all stages of development, from requirements, specification to implementation and test reports.
- • Stay up to date with the latest advancements in audio DSP, ML, and automotive compliance and standards, and contribute innovative ideas to the team.
Technical Requirements:
- • Strong programming experience in Embedded C, real-time DSP
- • Basic understanding of Python and ML
- • Proven experience with DSP algorithm design and implementation for audio applications.
- • Hands-on experience working with ACQUA, Audio Precision, or similar audio analysis and measurement tools.
- • Experience training, and tuning ML models for audio signal processing is highly desirable.
- • Solid understanding of audio performance metrics and evaluation methodologies.
- • Experience working in embedded and/or automotive environments is a plus.
Minimum Qualifications:
- • Masters or PhD in Electronics and Communication, or Electrical Engineering, Computer Science (with Signal Processing course work or experience ), or a related field (or equivalent work experience).
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