Autonomy Intern
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We’re looking for Autonomy Engineering interns who are eager to bring autonomous driving systems to life from the ground up. Minimum internship duration is 4 months, with direct conversion to full-time available.In this role, you will help grow our ADS software stack in a fast-paced, early-stage startup environment. There's no busy work here — you will directly own the design, simulation, and deployment to production of a specific autonomy submodule as part of creating a category-defining ground vehicle system that automates cargo movement at major airports across the globe.Specifically, we are looking for individuals who have deep functional expertise in one or more of the following areas:Perception and Sensor FusionLocalization and MappingVehicle Control, Planning, and Decision MakingYour job scope will involve selecting and working with both cutting-edge techniques as well as proven, off-the-shelf technologies to support your specific ADS module, working with other members of the engineering team to integrate into the overall system architecture, all while creating unprecedented value and functionality for the modern supply chain.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 software-as-a-service (SaaS) business model.This role will work closely with our co-founders and the Autonomy Lead.
What You’ll DoDefine, lead, and own the hands-on creation of your ADS subsystem module, targeting milestones and working with internal/external partners — expect to spend ~75% of your time performing hands-on development, with the remaining 25% integrating with the overall software stack, working with a team of world-class engineers to target aggressive milestones.Design, implement, test, and support ADS module functionality through simulations and real-world test runs in context of the airside airport environment, including vehicle corridors and airport apron.Work with the engineering team at large to support all aspects of ground vehicle autonomy, including planning, perception, navigation, and infrastructure subsystemsCollaborate with hardware engineering to create an integrated system, including calibration and integrationUnderstand and keep up-to-date with state of the art