About the Role :

AjnaLens is looking for an Audio DSP Engineer to join our Product Engineering team. This is a high-impact role for an experienced audio engineering professional who will work on real-time audio systems for next-generation smart glasses, wearables, and consumer electronics.

Responsibilities :

- Develop and optimize real-time Audio DSP algorithms for embedded platforms, including AEC, ANC, Noise Reduction/ENC, Beamforming, AGC, VAD, EQ, and Speech Enhancement.

- Design and tune multi-microphone audio pipelines for voice calls, recording, ASR, and media applications.

- Optimize and debug audio systems for latency, CPU/MIPS, memory, power consumption, audio quality, and production reliability.

Requirements :

- 5+ years of hands-on experience in Audio DSP / Embedded Audio development.

- Strong experience developing real-time audio solutions for consumer electronics, wearables, hearables, headphones, smart speakers, AR/VR devices, or similar products.

- Experience implementing DSP algorithms on embedded MCU/DSP/SoC platforms.

- Bachelor's or Master's degree in Electronics, Signal Processing, Electrical Engineering, or a related field.

Tech Stack & Skills :

- DSP fundamentals: FFT/DFT, FIR/IIR filters, adaptive filtering, sampling, resampling, and time/frequency-domain processing.

- Programming: C/C++ for real-time embedded audio systems.

- Audio Algorithms: AEC, ANC, Beamforming, Noise Suppression, AGC, VAD, or Speech Enhancement.

- Hardware: Microphones, speakers, ADC/DAC, amplifiers, audio buffering, synchronization, and latency.

- Embedded: RTOS, DMA, interrupts, and real-time embedded system development.

System Awareness :

- Audio interfaces: PDM, PCM, I2S, TDM, USB Audio, and Bluetooth Audio.

- Bluetooth: A2DP, HFP, LE Audio, SBC, AAC, LC3, Opus, and PCM.

- Tuning: Microphone characterization, gain calibration, channel matching, and acoustic tuning.

- Troubleshooting: Echo, noise, feedback, clipping, distortion, latency, and audio dropouts.

Leadership & Strategy :

- Ability to independently own audio DSP features from algorithm development through production deployment.

- Strong debugging and root-cause-analysis capabilities across firmware, DSP, hardware, and acoustic systems.

- Ability to collaborate effectively with hardware, firmware, mechanical, acoustics, AI/ML, and product teams.

- Strong technical communication and documentation skills.

Bonus Points :

- Experience with Qualcomm, BES, MediaTek, Cadence/Tensilica HiFi, CEVA, TI, NXP, or similar audio platforms.

- Exposure to wake-word detection, ASR front-end processing, and MEMS microphone characterization.

- Hands-on experience with MATLAB/Python for audio analysis and algorithm development.

- Familiarity with tools such as Audio Precision, HEAD acoustics, REW, oscilloscopes, and logic analyzers.