About Joby Located in Northern California, the Joby Aviation team has been steadily working toward our goal of providing safe, affordable, fully electric air transportation that is accessible to everyone. Imagine an air taxi that takes off vertically, then quietly and quickly carries you over the congestion below, giving you back that time you d otherwise spend sitting in traffic. Technology has advanced to the point where designing and operating an all-electric aircraft is completely viable. Our team has been discreetly designing and flight testing this vehicle and is looking for talented individuals to see it through certification and high rate production. About the Job Working as a Senior Software Engineer you will be responsible for further development of infrastructure and platforms for wrangling data produced by Joby Aviation test and flight operations. You should be able to work cohesively inside of a team, understand large data systems, and have an eye for scalable and flexible designs. You will also need to work closely with your colleagues across a broad set of highly technical disciplines who depend on data. The ideal candidate is energetic, has a positive attitude, is flexible and excited about learning and using new technologies. The successful candidate will assist in architecting, designing, and implementing systems to:
Wrangle data from a multitude of telemetry sources.
Employ standard database technologies in a modern, scalable data mining and analytics system.
Efficiently push, pull, and process Joby Aviation data in support of Data Analytics and Machine Learning.
Provide robust analytics platforms to Joby Data Scientists and Analysts.
Support visualization and presentation tools that help Scientists and Engineers realize value from data.
Monitor performance, reliability, and trends to efficiently scale our Data Services infrastructure.
University degree in computer science, computer engineering, physics, mathematics, or similar field.
5+ years experience in relevant industry.
Expert knowledge of data system architectures.
Expert knowledge of database technologies oriented towards time-series data and platforms for scientific computing and analytics.
Expert knowledge of big-data and cloud methodologies, including extensive experience with Unix or Linux for development and deployment -- specific experience with Kubernetes and AWS considered a strong plus.
Ability to support and work closely with a myriad of colleagues who are experts in aircraft design, systems engineering, test engineering, flight test operations, data analytics, and machine learning.