Work with us.

In charge of leveraging data and interventions to build a robust and scalable end-to-end learning-based control system.

In charge of designing, training, and deploying machine learning models for perception and automated data annotation at scale for autonomy systems.

In charge of validation of features in a simulator; responsible for creating test scenarios, and building scenario creation, and scenario reporting tools that streamline this process. Additionally, this role helps to provide high reliability and scalability through testing and automation.

In charge of integrating cutting-edge deep learning algorithms with robust, real-time software, and delivering safety-critical features for VTOL.

This Systems Engineer role focuses on the design and development of the embedded software. This role requires expertise in the realm of safety-critical software design, development, testing, and the seamless integration of hardware and software systems.

In charge of contributing to various system components and foundational code to the autopilot software. This role will assist in designing the software components with the rest of the team; including writing tests and integrating the evaluation pipeline to ensure the stability and functionality of the software stack