Role requiring'No experience data provided' months of experience in Mountain View

Role requiring'No experience data provided' months of experience in None We're looking for a Build and Release Engineer to join our team as a master of packages and containers who always delivers the goods. A key member of the CI/CD pipeline from planning all the way through deployment, you'll collaborate with other skilled engineers to identify technical needs, develop solutions, and deploy them using the latest tools available. Sure, you'll use your head to build and maintain the tools, infrastructure, and processes that directly impact our development teams and customers. But you're a developer at heart, and this is a role in which you'll craft code aplenty and keep your finger on the pulse of modern software build engineering practices. Inductive Automation is an innovation company. We are champions for industrial automation software, and we believe in building sensible solutions that provide value for our customers. Our workforce shares a passion for technology.

Director of AI/ML Engineering at Armis Industries Remote › 100% remote position (in the US) (Posted Mar 6 2022) About the company Armis Industries is a Saint Louis-based, deep technology startup developing next generation Artificial Intelligence/Machine Learning-enhanced, autonomous and unmanned vehicle systems and related data analytics technology for both government and commercial applications. Job description Armis Industries is a St. Louis-based deep technology startup focused on developing the next generation of unmanned and fully autonomous vehicle systems for aerospace, defense and industrial applications. We develop full-stack autonomous systems, with in-house physical vehicle design, command and control development, and mission information analytics and decision making. Machine Learning is the foundation of our command & control, autonomous decision making, as well as sensor data analytics capabilities. We are building machine learning systems that can operate reliably in complex, real-world environments and that can be easily adapted to new locations and missions.