Senior Deep Learning Software Engineer – Autonomous Vehicles

Responsibilities

• 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

Requirements

• 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