Location
In office (Hyderabad)
Experience
2+ years exp
First seen by Alion on Nov 10, 2026.
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Qualcomm is a semiconductor and wireless technology company founded in 1985 that designs processors, modems and connectivity chips for mobile devices and other markets. Its offices in Bengaluru and Chennai hire physical design and SoC RTL design engineers for chip implementation, timing closure and power optimisation. The company is headquartered in San Diego, California, United States.
Company: Qualcomm India Private Limited
Qualcomm's Audio Systems and R&D team is seeking a talented and highly motivated engineer specializing in the implementation of Digital Signal Processing (DSP) algorithms and Machine Learning (ML) models for next-generation in-vehicle audio experiences. This role involves hands-on development, integration, evaluation, and optimization of advanced audio algorithms on Snapdragon platforms, with an emphasis on ensuring robust, real-time performance in embedded automotive environments.
Key Responsibilities:
- Design, develop, and optimize DSP algorithms for automotive audio applications (e.g., noise reduction, echo cancellation, audio enhancement, Zonal Voice, etc.).
- Implement Machine Learning models and audio signal processing modules for deployment in embedded systems.
- Integrate audio algorithms into embedded platforms, ensuring that real-time performance and robustness requirements are met.
- Collaborate with cross-functional teams (hardware, software, systems) for algorithm integration and productization.
- Perform root cause analysis and debugging of audio system issues, proposing and implementing effective solutions.
- Stay up-to-date with the latest advancements in audio DSP, ML, and automotive compliance and standards, and contribute innovative ideas to the team.
Requirements:
- Solid understanding of audio signal processing.
- Strong programming experience in Embedded C, real-time DSP.
- Basic understanding of Python and ML.
- Proven experience with DSP algorithm design and implementation for audio applications.
- Hands-on experience working with ACQUA, Audio Precision, or similar audio analysis and measurement tools.
- Experience with implementing ML models and inference analysis for audio features.
- Experience working in embedded and/or automotive environments is a plus.
- Excellent problem-solving and communication skills.
- Ability to work independently and in teams across functions and locations.
Minimum Qualifications:
- Masters or PhD in Electronics and Communication, Electrical Engineering, Computer Science (with Signal Processing coursework or experience), or a related field (or equivalent work experience).
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
- OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
- OR PhD in Engineering, Information Systems, Computer Science, or related field.
Preferred Skills:
- Knowledge of automotive infotainment systems and their audio stack.
- Familiarity with noise reduction, echo cancellation, audio enhancement, Zonal Voice.
- Familiarity with Qualcomm SDKs and tools.
Skills
Audio Signal Processing, DSP, Digital Signal Processing, Embedded C
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