Nvidia Senior Deep Learning Software Engineer - Autonomous Vehicles 

United States, Texas 

992353175

What you'll be doing:

• Train, fine-tune, optimize and customize perception DNNs in low precision (FP16/INT8)

• Apply sophisticated quantization of DNNs

• Improve DNN architectures using ML algorithms on NVIDIA GPUs or DLAs

• Continuously improve inference speed, accuracy and power consumption of DNNs

• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new insights to improve NVIDIA's automotive DNNs.

What we need to see:

• MS or PhD degree in computer science, computer vision, computer architecture or equivalent experience in technical field

• 5+ years of work experience in software development.

• 2+ years of experience in developing or using deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc.)

• Experience with solving a computer vision task using deep neural networks, such as object detection, scene parsing, image segmentation.

• Strong Python and/or C/C++ programming skills

• Proven technical foundation in CPU and GPU architectures, containers (nvidia-docker), numeric libraries, modular software design

• Familiar with CNNs and Transformer architectures

• Willing to take action and have strong analytical skills.

• Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very sophisticated projects.

Ways to stand out from the crowd:

• Experience with low precision inference, quantization, compression of DNNs

• Experience with NVIDIA software libraries such as CUDA and TensorRT

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