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Computer Vision Venture






sys admin

This job post is closed and the position is probably filled. Please do not apply.
\nDextro's video system is incredibly compute-intensive - especially when processing live video. This necessitates a intricate collection of low-latency machine learning services on the backend. As our first dedicated Systems Engineer, you will take us from great code to great systems. Systems that are scalable, fully automated, and, most importantly, reliable. You will be the main architecture, but you will have the full support of our dev team behind you.\n\nYou will hold a senior position (3-6 years of prior engineering experience) on our small but rapidly-growing backend team. You will have complete oversight of our compute systems. From scaling our systems to prepare for a new product launch, to sharing feedback that you learn while diagnosing bugs, you will own the management of Dextro’s systems. You will maintain system uptime and alter architecture to improve our stability. In the process, your work will form the base of successful customer relations. If you are currently an SRE working in a small ecosystem, but looking for more impact and ownership, this is absolutely a position for you!\n\nOur backend is built in Python, CUDA, and C++; we make use of all relevant services in the AWS ecosystem.\n\nResponsibilities\n\n\n* Scale systems to handle thousands - yes, really thousands! - of hours of video at once \n\n* Build testing and deployment environments \n\n* Identify bugs and incorporate performance feedback into systems \n\n* Research and select tools to best power our systems\n\n\n

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