Infrastructure Engineer

November 10

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AeroVect

WebsiteLinkedInAll Job Openings

Aviation • Autonomous Driving • Aerospace

11 - 50

💰 Seed Round on 2022-06

Description

• You will work closely with our engineering team across the autonomy stack to ensure the operational success of our internal systems and customer deployments. • Being an infrastructure specialist, you will build out infrastructure initiatives, optimize our cloud compute and storage systems, and own our administration and provisioning backbone to support new engineering projects. • This role will have the opportunity to build the future of our development workflow, collaborating closely with engineers and customers. • Your job scope will involve selecting and working with both cutting-edge techniques as well as proven technologies to enable rapid development and continuous integration of our perception, localization, motion planning, and control capabilities for a range of airport driving scenarios. • The opportunity offers a technical, hands-on engineer the chance to help develop a market-defining enterprise product that combines autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. • This role will work directly with our co-founders and the Autonomy Lead.

Requirements

• Experience in a DevOps role working on a large scale software product • Expertise with microservice or job orchestration frameworks, containerized systems (e.g. Docker), and big data management • Experience developing and deploying infrastructure at scale, such as on public clouds or on-premise clusters • 2+ years of experience working in either autonomous vehicles or robotics domains • Scripting experience in bash; software development experience in python & C++ • Experience with Linux development & local networking • Experience with testing or developing software applications in a fast-paced environment • BS degree in Computer Science, Engineering, Mechatronics or equivalent preferred • Willingness to get hands-on and have lots of fun • MS in CS (or related discipline) + 3 years industry experience with autonomous vehicles, robotics, or similar • Background in management of big data streams • Experience working with containerization, cluster orchestration, or infrastructure management frameworks (such as Kubernetes or Docker) • Experience writing drivers for various hardware interfaces • Experience with API design and complex system integrations • Familiarity with robotics software and middleware like ROS • Startup Experience