Nvidia Senior System Software Engineer Deep Learning 

South Korea, Seoul 

874082836

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 , , and , 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 the latest research and innovations in deep learning, implement and experiment with new ideas to improve NVIDIA's automotive DNNs.

• Responsible for the technical relationship and assisting the automotive customer in building creative solutions based on NVIDIA technology.

• Collaborate with engineering teams in our US, APAC, India and Europe locations.

What we’d like to see in you:

• BS/MS or higher degree in Computer Science, Computer Engineering or Electrical Engineering.

• Experience in developing or using deep learning frameworks (e.g. TensorFlow, Keras, PyTorch, Caffe, ONNX, etc.).

• 5+ years of experience in optimizing DNN Layers for GPU or other DSPs.

• Proficiency in C and C++ and Data Structures.

• Strong OS fundamentals and knowledge of CPU/GPU architecture.

• Familiar with state-of-the-artCNN/LSTM/Transformersarchitecture.

Ways to stand out from the crowd:

• Strong analytical and problem solving skills, with good attention to details.

• Background with NVIDIA software libraries such as CUDA and TensorRT.

• Experience in automotive development processes like ASPICE or ISO26262.

• Excellent communication and organization skills, good time management and task prioritization.

• Open source project ownership or contribution, GitHub repositories, guiding and/or mentoring experience.

• Understanding of the DRIVE or NVIDIA GPU hardware.