NVIDIA
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.
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
Senior Performance Engineer - Deep Learning
January 6
NVIDIA
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.
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
📋 Description
• Build and optimize tools for Deep Learning engineers. • Develop and optimize open-source libraries for fastest Large Language Models training. • Study and tune Deep Learning training workloads at large scale. • Build and support NVIDIA submissions to community benchmarks like MLPerf. • Optimize modern Deep Learning models for NVIDIA GPUs and systems. • Explore new technologies and design hardware generations and core software components.
🎯 Requirements
• BS in Computer Science, Electrical Engineering or related field (or equivalent experience). • 6+ years of C++ and Python programming. • Strong background with parallel programming on GPUs. • Knowledge of Computer Architecture and/or Operating Systems. • Proven experience developing large software projects. • Excellent verbal and written communication skills. • Experience with Deep Learning Frameworks, like PyTorch, JAX, Tensorflow or MXNet. • Experience training language models. • Background with performance analysis and profiling of workloads. • Participation in the open-source community. • Proven experience working with multidisciplinary teams.
🏖️ Benefits
• Eligible for equity and benefits.
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