Principal SW Engineer, DSP and Computer Vision (AI2231)
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Job Description

As Principal SW Engineer, DSP and Computer Vision, you will be a key member of the MLSoC Platform Software team and will help with the software development effort for our Machine Learning SoC (MLSoC™) targeted for the embedded edge market. You will work closely with the software team to design and implement key components for MLSoC software releases. Your efforts will directly impact our customers in their ability to estimate, analyze and optimize their applications on our SoC.

Areas of focus: Design, implement and test key video processing components of the MLSoC software. Contribute to the overall architecture effort in the process by suggesting SW enhancements that increase performance and decrease power consumption, thus achieving best in class MLSoC performance in the industry. 

Key Responsibilities (including but not limited to):

  • Help implement customer processing pipelines that include Deep Neural Networks (DNNs) and other system level components.
  • Design and implement Python reference computer vision processing modules.
  • Design, implement, test and optimize key pre and post computer vision processing modules that are needed to run ML Vision pipelines on the MLSoC which are multi-core and multi-threaded.
  • Design and implement Gstreamer plugins for edge DNN applications.
  • Measure accuracy and throughput of computer vision modules and optimize to meet requirements.

Required Background:

  • BS/MS in Electrical Engineering or Computer Science with 10+ years of experience developing system software for complex vision, 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, OpenCL and OpenVX
  • Good programming skills in C, C++, Python, Assembly in a Linux environment
  • Experience with DSPs, 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 DSP and deep learning is desired.
  • 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.

The annual salary for this position ranges from $220,000 - $275,000. The actual annual salary paid for this position will be based on several factors, including but not limited to, skills, prior experiences, qualifications, expertise, work location, total target compensation, training, company needs, and current market demands. The annual salary range for this position is subject to change and may be adjusted in the future.

EEO Employer: SiMa is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Company Info. stands as a pioneering machine learning company, offering the first-of-its-kind software-centric MLSoC platform designed with a specific purpose. Our platform ensures seamless deployment and scaling of machine learning at the embedded edge, providing customers with the ability to tackle any computer vision challenge with the added advantage of achieving 10 times better performance at the lowest power consumption. Initially concentrating o

  • Industry
    Artificial intelligence,Computer software,Autonomous technology
  • No. of Employees
  • Location
    San Jose, CA, USA
  • Website
  • Jobs Posted

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