Real-Time Audio Software Engineer (DSP, Python/C++)

SGS Consulting

Washington (District of Columbia)

On-site

USD 90,000 - 120,000

Full time

6 days ago
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Job summary

SGS Consulting in Washington, DC is seeking a highly skilled audio signal processing engineer to design, implement, and optimize algorithms in Python and C++. You will build scalable pipelines for evaluating audio performance and collaborate with cross-functional teams on evaluation tools.

Join a team focused on data storage, retrieval, and analysis of large audio datasets, documenting architectures for internal and external stakeholders, and actively participating in code reviews to ensure

Qualifications

  • Bachelor’s degree in Computer Science, Electrical Engineering, or Audio Engineering required
  • Ability to work with database systems
  • Experience with laboratory measurement of audio device performance
  • Master's degree preferred in Electrical Engineering, Music Technology, or Computer Science

Responsibilities

  • 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.

Skills

Real-time audio
C++
Python
Explain Audio Processing
Database systems
Lab measurement

Education

Bachelor’s degree in Computer Science
Master's degree preferred in Electrical Engineering, Music Technology, or Computer Science

Job description

SGS Consulting in Washington, DC is seeking a highly skilled audio signal processing engineer to design, implement, and optimize algorithms in Python and C++. You will build scalable pipelines for evaluating audio performance and collaborate with cross-functional teams on evaluation tools.

Join a team focused on data storage, retrieval, and analysis of large audio datasets, documenting architectures for internal and external stakeholders, and actively participating in code reviews to ensure

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