Job Description
NVIDIA DRIVE® embedded supercomputing platforms process data from camera, radar, and lidar sensors to perceive the surrounding environment, localize the car to a map, then plan and execute a safe path forward. This AI platform supports autonomous driving, in-cabin functions, and driver monitoring, plus other safety features—all in a compact, energy-efficient package. We need passionate, hard-working and creative people to help us tackle more of these challenging opportunities in Autonomous Driving and In-Car Infotainment.
What you’ll be doing:
+ Develop solutions around NVIDIA GPU and Deep learning accelerators to realize DNNs for ADAS Systems.
+ Optimize DNNs for the GPU and other hardware accelerators like DLA using CUDA/TensorRT.
+ Improve DNN architectures using ML algorithms on NVIDIA GPUs or DLAs.
+ Conduct benchmarking and evaluation activities to continuously improve inference latency, accuracy and power consumption of DNNs.
+ Stay up to date with ...
What you’ll be doing:
+ Develop solutions around NVIDIA GPU and Deep learning accelerators to realize DNNs for ADAS Systems.
+ Optimize DNNs for the GPU and other hardware accelerators like DLA using CUDA/TensorRT.
+ Improve DNN architectures using ML algorithms on NVIDIA GPUs or DLAs.
+ Conduct benchmarking and evaluation activities to continuously improve inference latency, accuracy and power consumption of DNNs.
+ Stay up to date with ...
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