Who We Are

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a private company founded in 2020 and backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.

Job Description

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 Fusion

• Localization and Mapping

• Vehicle Control, Planning, and Decision Making

Your 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 Do

• Define, 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 subsystems

• Collaborate with hardware engineering to create an integrated system, including calibration and

Qualifications

Minimum Qualifications

• Strong CS fundamentals (via academic or industry experience)

• Background in developing the autonomy (sensing, decision-making, or control) functions of a deployed, autonomous vehicle

• High-performing engineering experience

• 2+ years experience working on software engineering teams

• Comfort with shipping safety-critical software

• Experience shipping a working robotics or vehicle autonomy subsystem

• Candidates with unconventional experiences especially encouraged

• Willingness to get hands-on and have lots of fun

• Experience with ROS

Ideal Qualifications

• Advanced research experience in vehicle autonomy or machine learning

• Background in safety-critical software/system development (preferably a ground robotics functional safety standard such as ISO 26262 or IEC 61508)

• Prior experience developing and supporting all aspects of autonomy for a production ground-vehicle subsystem, or research prototype (end-to-end, full lifecycle development preferred)

• Startup experience

• Experience with Carla, Gazebo or comparable technologies where relevant to the area of specialization