DSP Firmware Engineer

7 days ago

Bengaluru, India Texas Instruments Full time

The Audio BU is hiring an Audio DSP firmware engineer to support its Audio Converter 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 amplifiers and converters. Candidate will be responsible for designing and developing Audio algorithm and audio framework on DSP platform focusing on real-time signal processing applications. The role involves designing, developing, debugging, optimizing and testing of Matlab, embedded C and assembly source code with an emphasis on audio applications.



Key responsibilities include:




Develop and optimize firmware for DSP processors, ensuring high performance, low latency and efficient resource utilization.

Work with hardware teams to ensure seamless integration of DSP firmware with mixed signal hardware such as ADC, DAC, ClassD and Headphone amplifiers

Working on the implementation of efficient real-time audio algorithms on resource constrained DSPs/MCUs and neural network engines

Participate in firmware code reviews and create documentation for firmware projects including block diagrams, state diagrams, coding specifications and product descriptions

Test and validate the firmware through unit tests, simulations and real hardware environments




Minimum Requirements:



Bachelor’s or Master’s degree in electrical engineering, ECE with specialization in signal processing

3+ years’ experience in embedded systems

Solid understanding of signal processing, DSP fundamentals and Deep Learning architectures

Proven experience in DSP firmware development including experience with DSP processors (Qualcomm Kalimba, TI C55x, Analog Devices SigmaDSP)

Embedded C and MATLAB experience required

Strong analytical, problem-solving skills, attention to details and ability to work in a collaborative work environment.




Preferred Qualifications:




Hands-on experience in signal processing techniques such as digital filter design (IIR, FIIR), adaptive filtering, noise and echo cancellation

Experience with adaptive filters, sub-band processing, multi-rate DSP, and frequency domain processing

Familiarity with machine learning tools (eg. PyTorch) and training/testing methodologies is a plus

Experience with assembly language programming is a plus

Bringing up audio hardware and prototyping systems

Ability to work with a variety of teams or independently as needed

System Profiling tools experience

Strong debugging/trouble-shooting skills of embedded systems

Familiarity with code version control practices

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