Principal ML Infrastructure Engineer
UpworkFull Time
Expert & Leadership (9+ years)
Candidates must possess at least 4 years of professional software engineering experience and a BS or MS in Computer Science or a related technical field. Hands-on experience with Kubernetes (k8s) is essential, along with experience building high-scale infrastructure or distributed backend systems. Proficiency in Python, Go, or a similar language and solid experience with a major cloud provider (AWS, GCP, Azure) are required. A strong sense of ownership and a passion for building high-quality software are also necessary.
The Senior Software Engineer, ML Infrastructure will design, build, and deploy core components of the ML infrastructure platform on Kubernetes. They will develop robust and scalable services supporting the entire ML lifecycle, write high-quality code for high-throughput systems, and own features and systems end-to-end from design to production deployment and operation.
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.