Audio Software Engineer II

Duration: 12 months contract role to start will possible extension

Client is seeking a talented Audio DSP Engineer to join our team focused on advancing audio technologies for next-generation products. In this role, you will develop and optimize audio signal processing algorithms, build simulation frameworks, and design systems for performance measurement and data analysis. You’ll collaborate with world-class engineers in a fast-paced, innovative environment.

• Algorithm code in python
• Bachelor’s degree in Computer Science, Electrical Engineering, or Audio Engineering required

• Ability to work with data base systems
• Experience with laboratory measurement of audio device performance
• Master's degree in Electrical Engineer, Music Technology, or Computer Science preferred

• Design, implement, and optimize audio signal processing algorithms in Python and C++.
• Develop systems and frameworks for simulating audio processing pipelines.
• Build scalable solutions for storage, retrieval, and analysis of audio performance measurement data.
• Collaborate with cross-functional teams to create and leverage audio performance evaluation tools.
• Document code, algorithms, and system architectures for internal and external stakeholders.
• Participate in code and design reviews

• bachelor’s degree in computer science, Electrical Engineering, Audio Engineering, or related field.
• 2+ years of experience in software development with Python and C++.
• Understanding of digital signal processing (DSP) concepts and algorithms.
• Experience with data storage, retrieval, and analysis systems (e.g., SQL, No
  
  SQL, or similar).
• Strong problem-solving skills and ability to work independently.
• Excellent written and verbal communication skills.

• Master’s degree or higher in a relevant field.
• Experience with real-time audio processing and optimization.
• Familiarity with audio measurement and performance analysis tools.
• Experience developing simulation frameworks for audio or related domains.
• Knowledge of cloud-based data storage and analytics platforms.
• Prior experience working in a large-scale, collaborative engineering environment.