Senior Deep Learning Software Engineer – Autonomous Vehicles

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• 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.

⛳️ Requirements

• 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.

🏝️ Benefits

• Equity.

• Benefits.