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Texas Instruments Audio Algorithm Lead Engineer in Bengaluru, India
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Audio Algorithm Lead Engineer - Audio BU
The Consumer Audio Amplifier product line is hiring an Audio DSP firmware engineer to support its Smart Amplifier products. In this role you will be part of a team that develops and implements real-time audio processing solutions to deliver innovative audio and speech experience through audio amplifiers and haptics. Candidate will be responsible for designing developing, optimizing, debugging and testing Audio and Haptics including speaker protection, audio enhancements, Haptics control and non-linear control algorithms. The candidate should be proficient in Matlab/Simulink, Python, embedded C. Engineer will collaborate with multiple teams across design, systems and application to integrate the algorithm on TI audio devices.
Key responsibilities include:
· Design and implement Speech, Audio and haptics algorithms on Matlab/Simulink/Python and Implement on embedded C, neural network accelerators based Digital Signal Processors
· Develop and optimize algorithm DSP algorithms to ensure real-time performance and minimal latency using signal processing and machine learning techniques
· Participate in code reviews and create documentation for projects including block diagrams, state diagrams, coding specifications and product descriptions
· Develop unit tests and performance benchmarks to validate algorithm performance and robustness. Analyze and debug issues related to audio quality and system performance
Minimum Requirements:
· Master's degree with specialization in signal processing
· 5+ years' experience in Audio signal processing algorithm development
· MATLAB, Python, C programming experience required
· Experience in audio, speech, DSP, and embedded systems.
· Deep understanding of Signal processing, DSP fundamentals, Deep Neural Network preferably in audio
· Hands-on experience in signal processing techniques such as digital filter design (IIR, FIIR), adaptive filtering, sub-band processing, frequency domain processing and non-linear compensation
· Strong debugging/trouble-shooting skills of embedded systems
Preferred Qualifications:
· Experience with digital signal processing techniques
· Bringing up audio hardware and prototyping systems
· Ability to work with a cross domain teams or independently as needed
· Knowledge of AI/ML algorithms and tools such as PyTorch/Tensorflow, deep learning or natural language processing and familiarity with common neural network architectures namely LSTMs, CNNs and RNN is a plus
Why TI?
Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI (https://edbz.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/pages/4012)
Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.
About Texas Instruments
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com .
Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment.
If you are interested in this position, please apply to this requisition.
Minimum Requirements:
- Master's degree with specialization in signal processing ·5+ years' experience in Audio signal processing algorithm development