
Senior Deep Learning Software Engineer – Autonomous Vehicles
Posted 1 hour ago

Posted 1 hour ago
This is a fully remote position, open to applicants in California, +3 more states.
• Train, fine-tune, optimize, and customize perception DNNs utilizing low precision (FP16/INT8).
• Implement advanced quantization techniques for DNNs.
• Enhance DNN architectures through machine learning algorithms on NVIDIA GPUs or DLAs.
• Continuously enhance inference speed, accuracy, and power efficiency of DNNs.
• Stay informed on the latest research and innovations in deep learning, applying and experimenting with new insights to advance NVIDIA's automotive DNNs.
• MS or PhD in computer science, computer vision, computer architecture, or a related technical field.
• Over 5 years of professional experience in software development.
• At least 2 years of experience in developing or utilizing deep learning frameworks (e.g., PyTorch, JAX, TensorFlow, ONNX, etc.).
• Experience addressing computer vision tasks using deep neural networks, such as object detection, scene parsing, and image segmentation.
• Proficient in Python and/or C/C++ programming.
• Strong technical background in CPU and GPU architectures, containers (nvidia-docker), numeric libraries, and modular software design.
• Familiarity with CNNs and Transformer architectures.
• Proactive with strong analytical abilities.
• Excellent time-management and organizational skills for managing multiple projects, priorities, and the implementation of new technologies and products into complex projects.
• Equity.
• Benefits.
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