Collaborate with research scientists during algorithm design to ensure code is efficiently designed from inception. Identify and communicate best practices for model development. Reformulate performance bottlenecks and develop a framework suitable for mixed precision training of multi-task, multi-modality models in a heterogeneous distributed training environment. Research, implement, and test alternative formulations for fundamental DNN operations and AV centric representations. Enable safe and efficient deployment of PnP models.