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# Principal SW Engineer, DSP and Algorithms

- **Company:** SIMA, LLC
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $240,000.0 - $317,200.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Application Programming Interfaces (APIs), Artificial Neural Networks, Computer Vision, C++ (Programming Language), Computer Programming, Linux, Python (Programming Language), Machine Learning, OpenCV, OpenCL, Performance Tuning, Reduced Instruction Set Computing, System Software, Video Editing, Deep Learning, Information Technology
- **Published:** September 11, 2026
- **Apply:** https://www.thejobnetwork.com/job/7080f500-4b08-47c4-ae99-9f614e8ae310/sr-principal-sw-engineer-dsp-and-algorithms-ai

## About the Role

* 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.

## Description

* 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.


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