Staff Software Engineer - Motion Planning ML

November 10

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Description

• Own delivery of motion planning modules that solve on-vehicle problems and deliver for customer needs - meeting product requirements and meeting the needs of the controls system, providing a safe, smooth trajectory for the system to follow. • Design, scope, implement, and integrate machine learning systems to solve on-vehicle behavior problems in a real-time, resource-constrained environment. • Provide input in the technical direction for the team, and work cross-functionally to develop safe systems. • Work closely with systems engineers to ensure a safe, well tested product is delivered. • Work closely with verification teams to ensure proper testing and validation of the motion planning modules. • Spend time on the vehicles to experience in person the efforts being worked. • Provide input to team roadmaps and ensure product features are properly prioritized. • Identify bottlenecks and limitations in system performance, and develop novel motion planning components to unlock new capabilities and ensure a reliable system. • Be involved in experimentation, design and iteration exercises, and help to align stakeholders by using strong presentation and communication skills.

Requirements

• Experience architecting, training, and deploying machine learned models. • Joint prediction-planning models. • Motion planning models. • Experience building motion planning systems for real world applications with a strong understanding of the pros and cons of various approaches. • Knowledge and experience with real-time algorithms, and machine learning approaches. • Strong experience in software engineering and algorithm design. • Fluent in C++ and Python. • Experience with standard ML toolchain (PyTorch / TensorFlow, training framework, experiment managers, distributed training, ONNX / TensorRT).