Audio Processing Specialist

Responsibilities:
 

• Audio Format Expertise: Demonstrate expertise in a wide range of audio formats including but not limited to WAV, MP3, FLAC, AAC, AIFF, and OGG. Understand the nuances of each format and their implications for processing and analysis.
   
• Signal Processing Mastery: Apply advanced signal processing techniques to enhance audio quality, reduce noise, and extract meaningful information from audio signals. Utilize methods such as filtering, equalization, compression, and spectral analysis.
   
• Real-time vs Batch Processing: Understand the differences between real-time and batch processing and optimize systems accordingly. Implement efficient algorithms and workflows to handle audio processing tasks in both scenarios.
   
• System Optimization: Collaborate with software engineers and developers to optimize audio processing systems for performance and scalability. Identify bottlenecks and implement solutions to ensure smooth ingestion, processing, and analysis of audio data.
   
• Format Conversion: Develop algorithms and tools for seamless conversion between different audio formats while preserving quality and fidelity. Handle challenges such as sample rate conversion, channel mapping, and codec compatibility.
   
• Quality Assurance: Conduct rigorous testing and validation of audio processing pipelines to ensure accuracy, reliability, and consistency. Implement quality control measures to detect and address errors or anomalies in processed audio data.
   
• Real-time Processing Implementation: Design and implement real-time audio processing systems capable of handling live audio streams with minimal latency. Optimize algorithms and workflows for efficient real-time performance.
   
• Batch Processing Automation: Develop automated batch processing workflows for large-scale audio data processing tasks. Utilize batch processing frameworks and tools to streamline data ingestion, processing, and analysis pipelines.
   
• Performance Monitoring and Tuning: Monitor system performance metrics and fine-tune processing parameters to optimize resource utilization and throughput. Continuously improve system efficiency and scalability.
   
• Documentation and Knowledge Sharing: Document audio processing workflows, algorithms, and best practices for internal reference and knowledge sharing. Provide guidance and support to team members on audio processing-related topics.
   

Requirements:
 

• Bachelor's degree in Electrical Engineering, Computer Science, Audio Engineering, or a related field. Master's degree preferred.
   
• Strong background in audio signal processing with practical experience in applying signal processing techniques to audio data.
   
• Proficiency in programming languages such as Python, MATLAB, or C++ for algorithm development and implementation.
   
• In-depth understanding of audio formats, codecs, sampling theory, and digital audio principles.
   
• Experience with real-time audio processing frameworks such as JACK, PortAudio, or Audio Unit.
   
• Familiarity with batch processing frameworks such as Apache Spark, Hadoop, or Airflow.
   
• Excellent problem-solving skills and attention to detail.
   
• Strong communication and collaboration skills with the ability to work effectively in a team environment.
   
• Prior experience in audio processing, digital signal processing, or related fields is highly desirable.
   

Requirements

• Bachelor's degree in Electrical Engineering, Computer Science, Audio Engineering, or a related field. Master's degree preferred.
   
• Strong background in audio signal processing with practical experience in applying signal processing techniques to audio data.
   
• Proficiency in programming languages such as Python, MATLAB, or C++ for algorithm development and implementation.
   
• In-depth understanding of audio formats, codecs, sampling theory, and digital audio principles.
   
• Experience with real-time audio processing frameworks such as JACK, PortAudio, or Audio Unit.
   
• Familiarity with batch processing frameworks such as Apache Spark, Hadoop, or Airflow.
   
• Excellent problem-solving skills and attention to detail.
   
• Strong communication and collaboration skills with the ability to work effectively in a team environment.
   
• Prior experience in audio processing, digital signal processing, or related fields is highly desirable.