Start/End Dates: 22/02/2026 - 21/02/2027
Work Location: US - Onsite - Redmond, WA
Max BR:BR/Hr

Client is seeking a talented Audio Software 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.

Job 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

Minimum Qualifications - Bachelor s degree in Computer Science, Electrical Engineering, Audio Engineering, or related field.
- 2+ years of experience in software development with Python and C++.
- Write real time audio code in c++
- Algorithm code in python
- Explain audio processing
- Understanding of digital signal processing (DSP) concepts and algorithms.
- Experience with data storage, retrieval, and analysis systems (e.g., SQL, NoSQL, or similar).
- Strong problem-solving skills and ability to work independently.
- Excellent written and verbal communication skills.

Preferred Qualifications
- 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.
- Ability to work with data base systems
- Experience with laboratory measurement of audio device performance