Graphistry

Graphistry is the first GPU visual graph intelligence platform, used by analyst teams all the way from anti-fraud departments to anti-misinformation activists to cancer researchers to cyber threat hunters. We are known on the technology side for having helped start the GPU Data Frame computing movement (the prototypes leading to what is now Nvidia RAPIDS) and contributing the initial JS tiers of Apache Arrow, both of which were voted top open source data projects of 2021. Our users span data scientists, analysts, and developers helping bridge the two. 2022 is an exciting year for us as both our cloud and enterprise businesses are growing, we're adding graph neural networks support, the ability to elastically scale to 100+ GPUs, and working with some of the biggest DB/BI/cloud companies to bring GPU visual graph intelligence to their ecosystems. We're broadly looking for two kinds of visualization engineers: - WebGL: We already have the most scalable interactive graph UI, and would like to increase what it can do feature-wise + go another 100X. Initially frontend-tier focused, but as part of our trick has been combining client GPUs with server GPU offloading, option to get into that as well. Great for anyone who has done performance work in GL/JS, video game engines, mapping engines, etc. - Infoviz & UI: More focused on pure JavaScript & UI/UX, we're looking for someone deep into interactive data visualization and the broader craft of information visualization. The role would involve taking engineering and ideally project/product leadership in areas like Graphistry for BI (no-code) users, starting with our new Graphistry for PowerBI alpha, and new areas like our GPU visual analytics support for exploring UMAP, graph neural networks, and AI embeddings in general, and our collaborative cross-silo investigation UI. This feels like early days at Google Earth, Tableau, or Splunk/Elastic. More info @ https://www.graphistry.com/careers