Senior Audio Signal Processing Engineer

Location: Bengaluru,Karnataka,India

Exotel is the emerging market’s leading full-stack customer engagement platform and business-focused virtual telecom operator. Incorporated in 2011, Exotel’s cloud-based product suite powers 50 million daily engagements across voice, video and messaging channels. Exotel powers unified customer engagement to over 6000 companies in 60+ countries, including India, SE Asia, the Middle East, and Africa. Today, some of the fastest-growing companies in the emerging markets (Ola, Swiggy, Flipkart, GoJek, Byju’s, Urban Company, HDFC Bank, Zomato, Oyo, etc.) manage their customer engagement with Exotel’s suite of communication APIs, Ameyo’s omnichannel contact centre (merger), and Cogno AI‘s conversational AI platform (acquisition) over the cloud. They’re a $100 million Series D-funded company. 

We are looking for a skilled Senior Audio Signal Processing Engineer with 3–5 years of hands-on experience in designing and implementing audio algorithms such as noise cancellation, automatic gain control, and echo suppression. The ideal candidate will have strong expertise in audio DSP, proficiency in C, Java, and Python, and experience working with cloud technologies to deliver scalable and real-time audio solutions.

• Design, develop, and optimise audio processing algorithms (e.g., ANC, AGC, AEC).

• Implement real-time audio processing modules in C, Java, and Python.

• Integrate DSP algorithms into cloud-based and embedded systems.

• Collaborate with cross-functional teams to ensure seamless audio performance in products.

• Analyse, test, and improve the quality and efficiency of audio pipelines.

• Stay up to date with the latest advancements in audio technologies and standards.

Required Qualifications:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or related field.

• 3–5 years of professional experience in audio signal processing.

• Deep understanding of DSP concepts and algorithms relevant to audio.

• Proficiency in C, Java, and Python for algorithm development and integration.

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying audio solutions on them.

• Familiarity with real-time and low-latency audio processing systems.

Good to Have:

• Experience with audio frameworks like PortAudio, JUCE, or WebRTC.

• Knowledge of machine learning applications in audio.

• Contributions to open-source audio projects or publications in the field.