Senior Firmware Engineer

Namaskaram!
AjnaLens is looking for an experienced Audio DSP Engineer to join our Product Engineering team at Thane (Maharashtra – India). This is a hands-on engineering role focused on developing and optimizing real-time audio solutions for next-generation smart glasses, wearables, and consumer electronics.
The ideal candidate should have 5+ years of experience in Audio DSP / Embedded Audio, with strong expertise in digital signal processing, multi-microphone systems, acoustic tuning, and real-time audio algorithm implementation.
Who Are We Looking For?
An experienced Audio DSP Engineer with strong hands-on expertise in real-time audio processing and embedded audio systems.
Someone with a strong understanding of DSP algorithms, speech enhancement, acoustic processing, and multi-microphone systems.
A hands-on engineer proficient in C/C++ who can implement and optimize DSP algorithms on embedded MCU/DSP/SoC platforms.
Someone who understands the complete audio pipeline, from microphone input and acoustic capture to DSP processing and audio output.
A strong problem solver who can debug complex audio issues and collaborate closely with hardware, firmware, acoustics, mechanical, and AI/ML teams.
Top 3 Daily Responsibilities
Develop and optimize real-time Audio DSP algorithms for embedded platforms.
Design and tune multi-microphone audio pipelines for voice calls, recording, ASR, and media applications.
Optimize and debug audio processing for latency, CPU/MIPS, memory, power consumption, and audio quality.
Minimum Work Experience Required
5+ years of hands-on experience in Audio DSP / Embedded Audio.
Experience implementing real-time DSP algorithms on embedded MCU/DSP/SoC platforms.
Experience developing audio solutions for consumer electronics, wearables, hearables, headphones, smart speakers, AR/VR, or similar products is preferred.
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 FFT/DFT, FIR/IIR filters, adaptive filtering, sampling, resampling, and time/frequency-domain processing.
Strong programming expertise in C/C++.
Hands-on experience with AEC, ANC, Noise Suppression/ENC, Beamforming, AGC, VAD, EQ, or Speech Enhancement.
Strong understanding of microphones, speakers, ADC/DAC, amplifiers, audio buffering, synchronization, and latency.
Knowledge of RTOS, DMA, interrupts, and real-time embedded systems.
Full-Stack & System Awareness
Experience with audio interfaces including PDM, PCM, I2S, TDM, USB Audio, and Bluetooth Audio.
Knowledge of Bluetooth profiles and codecs such as A2DP, HFP, LE Audio, SBC, AAC, LC3, Opus, and PCM.
Understanding of microphone characterization, gain calibration, channel matching, and acoustic tuning.
Ability to troubleshoot echo, noise, feedback, clipping, distortion, latency, and audio dropouts.
Experience integrating vendor and third-party audio libraries and codecs.
Leadership & Strategic Capabilities
Ability to independently own audio DSP features from algorithm development through tuning, validation, and production.
Strong debugging and root-cause-analysis capabilities.
Ability to work closely with hardware, firmware, mechanical, acoustics, and AI/ML teams.
Strong technical communication and problem-solving skills.
Ability to optimize audio solutions based on product requirements and hardware constraints.
Bonus Points For
Experience working on Smart Glasses, TWS Earbuds, Hearables, AR/VR, Headphones, 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-mic tuning.
Hands-on experience with MATLAB/Python for audio analysis.
Familiarity with Audio Precision, HEAD acoustics, REW, oscilloscopes, and logic analyzers.
Exposure to AI/ML-based speech enhancement or audio processing is a plus.
What You'll Be Creating
High-quality real-time audio experiences for next-generation AI smart glasses and wearable products.
Advanced multi-microphone audio pipelines for voice interaction, calls, recording, and ASR.
Production-ready DSP algorithms optimized for latency, performance, memory, and power.
Robust audio processing systems that enable clear and natural voice interaction.
Audio solutions that integrate seamlessly across hardware, firmware, acoustics, and AI systems.
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 Audio DSP / Embedded Audio development is highly valued.

Work arrangement
No