Motional’s CORE team is responsible for our vehicle’s Compute and Onboard Runtime Environment. We are creating a world leading AI compute platform for autonomous vehicles. This is the system that executes the software and neural networks that make our vehicles autonomous. The Next-Gen Technologies team is part of CORE. We work at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s on-board vehicle architecture. If you are a software engineer and love the idea of working on embedded AI hardware and software systems to create the next generation of autonomous vehicles, we would love to talk with you.

Focus deeply on ML model deployment, integration of multiple ML models, and ML model optimization on embedded compute platforms.

Dive deep into the full ML software stack. Analyze ML workload performance on a variety of hardware processors, optimize ML models, improve ML software, and help us continually improve our stack through the application of efficient and effective ML approaches.

Design, develop, test, integrate, and optimize software and tools on a variety of ML compute architectures.

Collaborate with deep learning experts in perception, prediction, and other autonomous driving application areas to enable algorithms on GPU, NPU, and other ML accelerator architectures.

Optimize the utilization of GPU/NPU resources and sharing of GPU/NPU access across multiple programs running on the same system.

Lead designs to determine the needs of the system and how to best meet those needs through continually improving our ML software stack.

Advise peers and management on technical matters.