Senior Deep Learning Software Engineer – Autonomous Vehicles

🔥 0 minutes ago

🏄 California, Texas, +2 more states – Remote

🏄 California – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $152k - $241.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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.

🏖️ Benefits

• equity • benefits