Principal ML Infrastructure Engineer
UpworkFull Time
Expert & Leadership (9+ years)
We are looking to add a talented Principal Radar Autonomy Engineer to join our Autonomy team. You will own developing state-of-the-art Radar systems, including hardware design, data processing, and developing machine learning models to ingest low-level radar data. You will work closely with a cross-functional team to enable the entire sensor suite to empower end-to-end machine learning. As a hands-on engineering lead, you will architect and co-develop both Radar sensors and machine learning pipelines to drive our next-generation vehicles. Your deep applied research experience will inform your visionary approach to enable more intelligent, capable, and cost-effective autonomous vehicles, and your deep engineering experience will enable pragmatic trade-off decisions. We are looking for someone that knows how to push the boundary of “the box”, and thrives working as the technical expert across both the hardware and software domains.
Develops fully driverless robotaxis for urban transport
Motional develops fully driverless vehicles, specifically robotaxis, aimed at transforming urban transportation. Their all-electric robotaxis are designed to navigate complex city environments safely and efficiently. Motional partners with ride-hailing and delivery services, providing them with advanced autonomous vehicle technology to enhance their operations and reduce costs. A unique aspect of Motional's service is its Command Center, which allows for real-time tracking of each robotaxi, enabling human agents to monitor performance and ensure passenger safety. Unlike many competitors, Motional focuses on integrating its vehicles into existing mobility networks, making driverless technology accessible and reliable. The company's goal is to make autonomous vehicles a safe and integral part of urban transportation.