Audio Systems Machine Learning Engineer

As a member of Qualcomm India Private Limited's Audio Systems Group, you will be at the forefront of on-device AI and multimedia technology. Your primary focus will be on designing and implementing audio solutions for Snapdragon platforms, optimizing these solutions for deployment in mobile, XR, compute, IoT, and automotive markets. **Key Responsibilities:** - Design and implement frameworks and drivers for advanced audio features. - Drive features end-to-end, collaborate with global teams, debug and troubleshoot issues, and perform performance validation. - Create, prototype, and commercialize innovative audio solutions using traditional signal processing and ML frameworks. - Analyze and validate the performance of audio subsystems to meet robustness, power, and stability metrics on Qualcomm platforms. - Collaborate with cross-functional R&D, systems, and integration teams for system use case verification and commercialization support. - Work closely with internal engineering teams and customers to ensure successful commercialization of audio technologies. **Qualifications Required:** - Proven ability to design, debug, and document complex software applications. - Proficiency in C or C++ with multi-threaded programming and debugging experience. - Experience with version control tools like P4, Git, or similar SCM tools. - Strong operating systems and software engineering skills. - Experience with Android framework and middleware is highly desired. - Familiarity with Android audio framework components like NuPlayer, Audio Track, AudioFlinger/AudioPolicyManager, HAL, etc. - Experience with embedded platforms, DSP architectures, real-time operating systems, and software design patterns. - Experience in developing, implementing, and debugging audio solutions on ARM, DSP, or RISC-V. - Experience in ML Framework and AI inferencing is a plus. - Previous experience in Automotive audio is advantageous. - Strong Object-Oriented Design fundamentals and design pattern experience. - Knowledge of the Linux kernel and its operation. - Strong debugging skills and familiarity with debugging environments like gdb, JTAG/Trace32. - Experience in Audio pre/post-processing algorithms for subjective quality enhancement. - Experience in audio processing pipeline implementation for media applications. - Familiarity with Java or C#. - Excellent written and verbal communication skills. - Interpersonal skills with the ability to collaborate with varied teams and resolve problems. - Ability to work in a dynamic, multi-tasked environment. - Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. - Educational Qualification: Bachelor's/Masters degree in Engineering, Electronics and Communication, Computer Science, or related field. - 2+ years of experience in Audio framework and drivers development.,