Additionalinformation

Additional Information

AeroVect is a technology company that applies the latest advances in autonomous driving systems to create today the airports and logistics centers of the future. We work with airports around the world to bring self-driving tow tractors to life. Our experienced team of engineers and aerospace industry specialists from Harvard and MIT have collectively spent decades developing cutting-edge autonomy and aerospace technologies. Founded on the principles of safety, efficiency, and reliability, our mission is to create the airport of the future today, making logistics work for millions of people while having lots of fun on the way. Read more on our website at www.aerovect.com .

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

All your information will be kept confidential according to EEO guidelines.

Companydescription

Company Description

At AeroVect, we automate baggage and cargo logistics at some of the busiest passenger airports and air freight hubs in the world. Backed by top-tier investors, AeroVect is shaping the future of airport automation, beginning with self-driving tow tractors.

If you have a passion for applying autonomous driving technologies to impact the flow of goods for millions of people, we want to talk to you!

Jobdescription

Job Description

We are looking for a Robotics Engineer to join our fast paced team who can design and implement solutions for reliable autonomous technologies used in airside logistics. The generalist engineer will be a part of the core autonomy team responsible for system requirements and validation of autonomous driving capabilities across various areas of the autonomy stack. Key responsibilities include designing, implementing, testing, and documenting robotics systems and features in C/C++ on desktop and embedded platforms.

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 be a primary contributor in the development of next-generation structured autonomy software, characterizing solutions and feature improvements for automated cargo movement at major airports across the globe.

This role will work closely with and report to the Autonomy Lead.

Qualifications

Minimum Qualifications

• Prior background (academic or industrial) in development of autonomous systems

• Theoretical knowledge of one or more areas of autonomous driving : localization, perception, tracking & prediction, planning, control or overall system development

• Bachelor’s Degree or Master’s Degree candidate in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or related field

• Strong C++ (preferred) or Python programming and algorithmic problem solving skills

• Working experience in a Linux based Operating System

• Experience using the Robot Operating System (ROS) framework and tools like Rviz, rqt, tf, etc.

• Strong reasoning skills and mathematics background including linear algebra, geometry, calculus and probability to name a few

• Solid engineering background with hands-on design and development experience

• Experience with field testing autonomous systems

• Highly collaborative nature and exceptional communicator

Desired Qualifications

• MS or PhD in Computer Science, Math, Robotics or a related field

• In-Depth understanding of DDS frameworks like ROS/ROS2 or other networking middleware

• Proven track record of system development and successful deployment of unmanned systems in existing or upcoming products

• Mastery of Modern C++ (14 and beyond) and safety critical coding practices (MISRA and ISO 26262 compliance)

• Proven knowledge of Linux kernel internals (process scheduler, memory management, concurrency/synchronization, memory allocation, file systems), networking, and storage subsystems architecture

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