Software Engineer, Hardware
OpenAIFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
Required skills include experience with machine learning accelerators like GPUs, NPUs, TPUs and their programming environments such as CUDA and TensorRT; strong experience with modern C++ development in a Linux environment; experience with parallel and high-performance computing; comfort with experimentation; and a degree in Software Engineering, Computer Science, or similar field.
Preferred experience includes PyTorch, TensorFlow, ONNX or other ML frameworks; embedded systems development for ARM-based system-on-chip architectures; working in MLOps or DevOps environments; and passion for self-driving technology.
This information is not specified in the job description.
This information is not specified in the job description.
You'll work on the Next-Gen Technologies team within CORE, at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve on-board vehicle architecture for autonomous vehicles, collaborating with deep learning experts.
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.