Role Overview :

We are seeking a highly skilled Multimedia Engineer with a strong focus on the Android Camera and Audio stacks. In this role, you will work across the entire Android multimedia pipeline from low-level kernel driver bring-up to high-level framework APIs. You will be responsible for hardware bring-up, multimedia framework customization, and optimizing audio/video streaming pipelines.

Roles & Responsibilities :

Camera & Audio Hardware Bring-Up :

- Perform end-to-end Camera and Audio bring-up on new hardware platforms.

- Develop and configure low-level drivers using V4L2 (Video4Linux) and the ALSA (Advanced Linux Sound Architecture) framework.

- Collaborate with image quality teams to assist with Camera Tuning and sensor calibration.

Android Multimedia Framework Development :

- Design, implement, and maintain custom solutions within the Android Multimedia Framework (including Stagefright, OpenMAX (OMX), Audio Flinger, and Audio HAL).

- Develop and optimize solutions using Camera HAL (Hardware Abstraction Layer) and Camera2 API.

- Work seamlessly across native layers (C/C++) and application layers (Java) using JNI to expose multimedia capabilities.

Streaming & Protocols :

- Implement and optimize multimedia streaming protocols such as RTP, RTSP, and Wi-Fi Display (Miracast).

- Integrate and optimize audio/video codecs to improve latency, throughput, and power consumption.

Technical Skills & Qualifications :

Mandatory Requirements :

- Experience : 3+ years of professional experience in embedded multimedia or Android systems development.

- Core Languages : Strong proficiency in C and C++, along with solid working knowledge of Java.

- CS Fundamentals : Deep understanding of Data Structures and Algorithms.

- OS Environment : Direct, hands-on experience working within the Android Operating System internals (Framework and HAL layers).

- Domain Focus : Proven experience or a strong readiness to work heavily in the Android Multimedia domain (specifically covering audio, video, and camera pipelines).

Good to Have / Preferred Skills :

- Familiarity with DSP (Digital Signal Processor) programming and Audio/Video codec optimization.

- Knowledge of Python for scripting and automation.

- Exposure to AI, Machine Learning, TensorFlow, and Neural Networks, particularly applied to computer vision or smart audio.

Joining Details & Qualifications :

- Education : Bachelors or Masters degree in Computer Science, Electronics & Communication Engineering, or a related technical discipline.

- Notice Period : Immediate Joiners Only (Capable of joining within 0-15 days).