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
Deep Learning Engineer - Distributed Task-Based Backends
September 15, 2024
🇺🇸 United States – Remote
💵 $148k - $276k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🔙 Backend Engineer
🦅 H1B Visa Sponsor
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
• Develop extensions to popular Deep Learning frameworks, that enable easy experimentation with various parallelization strategies! • Develop compiler optimizations and parallelization heuristics to improve the performance of AI models at extreme scales • Develop tools that enable performance debugging of AI models at large scales • Study and tune Deep Learning training workloads at large scale, including important enterprise and academic models • Support enterprise customers and partners to scale novel models using our platform • Collaborate with Deep Learning software and hardware teams across NVIDIA, to drive development of future Deep Learning libraries • Contribute to the development of runtime systems that underlay the foundation of all distributed GPU computing at NVIDIA
🎯 Requirements
• BS, MS or PhD degree in Computer Science, Electrical Engineering or related field (or equivalent experience) • 5+ years of relevant industry experience or equivalent academic experience after BS • Proficient with Python and C++ programming • Strong background with parallel and distributed programming, preferably on GPUs • Hands-on development skills using Machine Learning frameworks (e.g. PyTorch, TensorFlow, Jax, MXNet, scikit-learn etc.) • Understanding of Deep Learning training in distributed contexts (multi-GPU, multi-node)
🏖️ Benefits
• Eligible for equity and benefits.
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