Senior Firmware Engineer

AjnaLens; Thane; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

AjnaLens seeks an Audio DSP Engineer to join our Product Engineering team, focusing on real-time audio systems for smart glasses, wearables and consumer electronics. You will own DSP features from algorithm development through tuning and production deployment, shaping latency, power and audio quality.

Collaboration across hardware, firmware, acoustics, AI/ML and product teams is essential for robust, market-ready solutions.

Qualifications

• Hands-on expertise in DSP fundamentals and embedded real-time audio.
• Experience implementing DSP algorithms on MCU/DSP/SoC platforms.
• Experience with multi-microphone audio pipelines and voice processing.

Responsibilities

• Develop and optimize real-time Audio DSP algorithms for embedded platforms (AEC/ANC/NR/BEAMFORMING/AGC/VAD).
• Design and tune multi-microphone audio pipelines for voice calls, recording, ASR and media apps.
• Optimize audio systems for latency, CPU usage, memory, power, and production reliability.

Skills

DSP fundamentals

C/C++

AEC/ANC/Beamforming

Microphone/speaker knowledge

RTOS/DMA/interrupts

Education

Bachelor's or Master's in Electronics/Electrical Engineering/Signal Processing

Tools

MATLAB

Python

Audio Precision

HEAD acoustics

REW

Oscilloscopes

Logic analyzers

Job description

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.

The ideal candidate should have 5+ years of hands‑on experience in Audio DSP and Embedded Audio, with strong expertise in digital signal processing, multi‑microphone systems, acoustic tuning, and real‑time audio algorithm implementation.

Top 3 Daily 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.

Minimum Work Experience Required

• 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.

Top 5 Skills You Should Possess

• Strong knowledge of DSP fundamentals, including FFT/DFT, FIR/IIR filters, adaptive filtering, sampling, resampling, and time/frequency-domain processing.
• Strong programming expertise in C/C++ for real‑time embedded audio systems.
• Hands‑on experience with AEC, ANC, Beamforming, Noise Suppression, AGC, VAD, or Speech Enhancement.
• Strong understanding of microphones, speakers, ADC/DAC, amplifiers, audio buffering, synchronization, and latency.
• Experience with RTOS, DMA, interrupts, and real‑time embedded system development.

Leadership & Strategic Capabilities

• Ability to independently own audio DSP features from algorithm development through tuning, validation, and 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 For

• Direct experience building smart glasses, TWS earbuds, hearables, headphones, AR/VR, or wearable products.
• Experience with Qualcomm, BES, MediaTek, Cadence/Tensilica HiFi, CEVA, TI, NXP, or similar audio platforms.
• Experience with Bluetooth Classic and LE Audio.
• Exposure to wake‑word detection and ASR front‑end processing.
• Experience with MEMS microphone characterization and multi‑microphone tuning.
• 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.

Education

• Bachelor's or Master's degree in Electronics, Electrical Engineering, Signal Processing, Embedded Systems, or a related field.
• Strong equivalent hands‑on experience in embedded audio and DSP development is highly valued.