A leading advanced audio technology company focused on next-generation acoustic innovation is looking for an experienced Principal Audio Systems Architect & DSP Expert with strong experience in active noise cancellation (ANC), digital signal processing, spatial audio systems, and AI-driven audio technologies to join their team in Knysna. The successful candidate will play a key role in designing and developing proprietary audio technologies for high-performance environments, leading the architecture of complex audio systems that integrate machine learning, advanced DSP, and hardware-software co-design. This role requires deep technical expertise in real-time audio processing, acoustic engineering, and embedded system optimization.

Responsibilities:

• Lead the development of proprietary Active Noise Cancellation (ANC) technologies for advanced audio applications.

• Design and implement AI-driven audio processing systems for real-time deployment.

• Architect advanced spatial audio systems, including object-based audio and immersive sound staging.

• Develop bio-sensor synthesis technologies integrated into audio platforms.

• Contribute to and guide the company’s IP and patent strategy related to audio and signal processing innovations.

• Drive hardware–software co-design to optimize performance in embedded audio systems.

• Develop and optimize adaptive filtering systems for complex acoustic environments.

• Lead the implementation of neural network architectures for real-time audio processing.

• Collaborate with cross-functional engineering teams to bring advanced audio technologies from concept to production.

Requirements:

• PhD or Master’s Degree in Electrical Engineering, Acoustics, Digital Signal Processing, or a related field, with a strong focus on audio systems.

• Deep expertise in Active Noise Cancellation (ANC) and adaptive filtering methods such as LMS, NLMS, and RLS.

• Strong understanding of control theory and acoustic feedback systems.

• Proven experience developing and launching ANC-enabled products.

• Advanced knowledge of deep learning for audio, including experience with RNNs, LSTMs, or CRNs.

• Experience optimizing neural networks for real-time and edge deployment on DSPs or NPUs.

• Strong expertise in spatial audio technologies, including Head-Related Transfer Functions (HRTFs), Ambisonics, and object-based audio.

• Solid understanding of acoustic engineering challenges in high-noise environments, particularly aviation-related acoustic conditions.

• Proficiency in MATLAB/Simulink for signal processing and system modeling.

• Strong programming skills in Python (PyTorch or TensorFlow) and C/C++ for embedded DSP development.

• Degree or Diploma in Electrical Engineering (audio or aviation focus preferred).

Benefits:

• Salary: negotiable.

Contact Hire Resolve for your next career-changing move.

Apply for this role today, contact Abigail King at Hire Resolve or on LinkedIn.

You can also visit the Hire Resolve website: hireresolve.us or email us your CV:  [email protected]

We will contact you telephonically in 3 days should you be suitable for this vacancy. If you are not suitable, we will put your CV on file and contact you regarding any future vacancies that arise.