Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
Job Description
About the Role
We are looking for a Senior Automotive Audio Software Developer with strong hands-on experience in Android Automotive/AOSP and QNX-based embedded platforms.
The candidate will design, develop, integrate, and debug automotive audio software across the complete stack, covering Android Audio Framework, Audio HAL, audio middleware/management, QNX, and underlying hardware interfaces.
The role requires strong Modern C++, embedded-system fundamentals, system-level debugging capability, and a good understanding of Automotive Infotainment audio architecture.
Key Responsibilities
- Analyze and refine requirements for automotive audio software components.
- Design and develop embedded audio software using Modern C/C++.
- Develop, customize, and debug Android/AOSP Audio Framework and Audio HAL components.
- Develop and maintain QNX/POSIX-based audio middleware, audio services and audio-management components.
- Work with POSIX concepts including multithreading, IPC, synchronization, shared memory, message queues and sockets.
- Integrate audio software with DSP frameworks, OS services, HAL and hardware interfaces.
- Analyze complex issues across Application Framework/Middleware , HAL, OS, DSP , Hardware layers.
- Support platforms bring-up, integration, validation, and customer-specific audio configurations.
- Prepare and review high-level and low-level software designs, including UML-based designs.
- Perform unit testing using frameworks such as Google Test/GTest and contribute to CI/CD activities.
- Participate in design and code reviews and drive clean-code and software-quality practices
- Provide technical guidance to team members and support cross-functional teams in resolving complex audio issues.
What We’re Looking For
- Must-Have Technical Skills - Embedded C++ 11/14/17 programming skills. Strong understanding of object-oriented design, STL, memory management, multithreading, concurrency and synchronization.
- QNX Hands-on development experience on QNX-based embedded systems. Experience with QNX-based audio middleware/audio-management components.
- Understanding QNX Sound Architecture and device-driver concepts is beneficial.
- Automotive Audio : Good understanding of audio routing and management, Audio streaming, Audio device handling Low latency audioInternal/external amplifiers DSP integration
- Strong system-level debugging and problem-solving skills.
- Android Automotive AudioHands-on experience with AOSP/Android Audio Framework.
- Experience with: AudioFlinger / AudioPolicyManager / AudioPolicyService / AudioManager / AudioService / Car Audio Framework / Audio routing and device management / Audio HAL / AIDL / HIDL
- Strong Android debugging using logcat, bug reports and Tombstone logs.
- Familiarity with ALSA/TinyALSA and PCM/audio streaming is advantageous.
- Good understanding of embedded systems and RTOS concepts.
Qualifications
B.E./B.Tech/M.E./M.Tech in Computer Science, Electronics, Electrical, Telecommunication, or a related engineering discipline
Additional Information
Exp- 5-9 years
- Experience with Qualcomm automotive audio architecture and DSP frameworks.
- Experience with Hypervisor-based IVI architecture.
- Hands-on knowledge of tools such as QACT/QXDM and Qualcomm ACDB.
- Knowledge of low-level audio interfaces such as I2S
- Knowledge of audio DSP processing, effects and tuning. Understanding of CAN/vehicle signals influencing audio behavior.
- Experience with UML/design tools and software design patterns. Familiarity with SAFe/Agile and ASPICE.
- Knowledge of ISO 26262 and secure software development practices.
- Exposure to AI-assisted software development tools such as GitHub Copilot; familiarity with LLMs/AI Agents/agentic workflows can be an additional advantage.