Computer Vision Engineer

ZeroEyes


2 weeks ago

03/13/2020 10:22:25

Job type: Full-time

Hiring from: ET hours

First appeared on StackOverflow

Category: Software Development


ZeroEyes was founded by military special operations veterans, self-starters, and elite technologists. Our mission is to prevent gun violence and mass shootings by leveraging Artificial Intelligence.

We are recruiting those interested in joining an extremely high growth startup. If you are searching for a job that asks of you the bare minimum, please do not apply. Your position, perseverance, and skillset are crucial to our mission success. You will be asked to break new ground. We are not looking for passion; we are looking for obsession in our mission to save lives. If you lack the minimum requirements, but believe you are the right candidate, please apply and let us know why you are still a fit. We look forward to speaking with you!

If you are missing some of the skills but believe you are the right candidate, tell us why.

In this position you will be:

  • Developing Gstreamer pipelines written in C to connect to and stream real-time video
  • Working with state of the art deep learning frameworks to deploy object detection models for inference
  • Testing and optimizing GStreamer pipelines to maximize hardware performance
  • Build, automate and customize deep learning training and inference environments

You must have:

  • Relentless work ethic and positive outlook 
  • C, C++, experience working with RTSP / IP camera streams

Additional preferred experience:

  • GStreamer, OpenCV, Deepstream SDK, TensorRT, Nvidia Docker, Kubernetes, Helm Charts, Ubuntu, Agile/Jira, Github

Please mention that you come from Remotive when applying for this job.

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  • In this position you will be:

    • Developing Gstreamer pipelines written in C to connect to and stream real-time video

    • Implementing and managing pre-processing of video to optimize performance of deep learning models

    • Working with state of the art deep learning frameworks to deploy object detection models for inference

    • Testing and optimizing GStreamer pipelines to maximize hardware performance

    • Helping to build, automate and customize deep learning training and inference environments

    • Working with Nvidia’s Deepstream SDK, TensorRT, Nvidia Docker, Kubernetes and Helm Charts

    • Writing and optimizing GStreamer plugins to manipulate video and image data Requirements Skills, Experience, Certifications

    • C, C++, Python, Cmake

    • RTSP streaming, OpenCV, GStreamer, Deepstream SDK, TensorRT, Nvidia Docker, Kubernetes and Helm Charts

    • *Ubuntu. RedHat/CentOS and Windows Server a plus

    • Experience with AWS, GCP, Azure, etc a plus

    • Experience with Scrum/Agile development methodologies

    • Experience with Putty/Termius, Powershell, Linux/Windows command line tools

    • Installing Nvidia drivers, Cuda, cuDNN

    • Knowledge of GPU hardware and performance testing

    • Experience with VMS and DVR/NVR

    • C#, Go, Postgres DB, ASP.NET Core a plus

    • Minimum 5 years of related experience or equivalent blend of education and experience.

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