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About Nominal
Nominal is a venture-backed company with offices in Los Angeles, Austin, and New York City that specializes in software and data management products for organizations that are testing and validating complex physical systems (like drones, planes, rockets, engines, satellites, nuclear reactors, etc.). We are backed by prolific and experienced venture capital firms like General Catalyst, Lux Capital, Founders Fund, XYZ, Haystack, Human Capital, BoxGroup, etc., and have raised significant venture funding with strong early traction in both commercial and defense applications.
The Nominal team comes from commercial companies like SpaceX, Palantir, Anduril, Lockheed Martin, and NASA and is active amongst customers in aerospace, defense, industrial, and advanced energy applications (autonomous aviation, eVTOL/VTOL, flight testing, satellite development, etc.). We are also building and delivering solutions to the United States Air Force (USAF) who are looking to expand use cases across the broader DoD test community.
Our product is a data visualization and computation platform designed to accelerate how engineering teams test and validate hardware systems. We specifically aim to shorten the data review process after running tests and help engineering organizations scale testing campaigns more efficiently and effectively to save time and lower costs. It works by combining heterogeneous data into runs and allowing users to easily build custom visualization and analysis. Users write test logic with interactive computation, and these checks can be applied to historical and future runs to compound learnings. Data sources can include telemetry, sensor data, logs, simulations, and other testing metadata like environment, vehicle, part, version, etc.
\n🚀 About the roleDon’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway!
Full Time
$128k-158k (estimate)
08/18/2024
10/16/2024
nominalx.com
Tempe, AZ
<25
The job skills required for Data Visualization Engineer include API, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Visualization Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Visualization Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Visualization Engineer positions, which can be used as a reference in future career path planning. As a Data Visualization Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Visualization Engineer. You can explore the career advancement for a Data Visualization Engineer below and select your interested title to get hiring information.