Senior Firmware Engineer

AjnaLens

Thane

On-site

INR 2,500,000 - 4,200,000

Full time

5 days ago
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Job summary

AjnaLens is recruiting an experienced Audio DSP Engineer to join our Product Engineering team in Thane, Maharashtra. The role focuses on developing real-time audio solutions for smart glasses and wearables with hands-on DSP on embedded platforms.

The ideal candidate has 5+ years in Audio DSP/Embedded Audio, strong C/C++ skills, and experience with multi-mic configurations, acoustic tuning, and real-time algorithms for consumer electronics.

Qualifications

  • 5+ years hands-on experience in Audio DSP / Embedded Audio.
  • Experience implementing real-time DSP on embedded MCU/DSP/SoC platforms.
  • Bachelor's or Master's degree in Electronics, Signal Processing, Electrical Engineering, or a related field.

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.

Skills

Real-time DSP
Embedded Audio
C/C++
Multi-mic
Acoustic Tuning
DSP Algorithms
RTOS
I2S/PDM/PCM
Beamforming
Voice Enhancement

Education

B.E./B.Tech Electronics
M.E./M.Tech Signals Processing
Embedded Systems

Tools

MATLAB
Python
DSP Libraries

Job description

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.
  • 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.
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