- Help implement customer processing pipelines that include Deep Neural Networks (DNNs), Large Multimodal Models (LMM) for audio and video applications.

- Architect, Design and Implement Audio and Video Processing functions (APIs) for ML applications using on chip vector DSP and ARM NEON processors.

- Design and implement Python reference processing modules.

- Design and implement Gstreamer algorithm plugins for applications.

- Measure accuracy and throughput of processing modules and optimize performance and accuracy to meet requirements.

- Work with chip hardware team to define next generation algorithmic compute blocks.

Key Requirements :

- BS/MS in Physics, Electrical Engineering or Computer Science with 15+ years of experience developing system software for complex vision, audio, image or video processing applications.

- A strong knowledge of DSP, Image, Audio, Video, Computer Vision Algorithms and Frameworks is required, including common libraries like OpenCV and OpenCL.

- Good programming skills in C, C++ and Python in a Linux environment.

- Experience with DSPs, GPGPUs, SIMD or VLIW instruction sets such as ARM Neon, TI DSP, or any Vision processor like Cadence Tensilica, CEVA, RISC-V, Xilinx Versal, etc. is highly desirable.

- Strong mathematical foundation in algorithms, DSP and deep learning is desired.

- History of optimizing algorithms to align to HW platform capabilities, both for processing and memory transfer performance.

- Experience with 2D and 3D DMA programming and performance tuning.

- 2+ years of experience bringing up SoCs from scratch is a plus.

Personal Attributes :

- Can-do attitude.

- Strong team player.

- Curious, creative, and good at solving problems.

- Execution and results oriented.

- Self-driven, thinks big and is highly accountable.

- Good communication skills.