
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
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.
🕒 April 6
🌐 Poland, Switzerland, +2 more countries – Remote
💵 zł221.3k - zł507k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
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10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
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.
• Build and evolve the architecture of scalable software systems for distributed AI training and inference. • Develop and evaluate next-generation communication and runtime capabilities in libraries such as NCCL, UCX, and UCC. • Partner with AI framework teams (e.g., TensorFlow, PyTorch, JAX) to build integrations and explore new approaches. • Collaborate on hardware and system-level features across GPUs, DPUs, and interconnects. • Drive innovation across runtime systems, communication libraries, and AI-specific protocol layers.
• Ph.D., or equivalent industry experience, in computer science, computer engineering, or a closely related field. • 5+ years of experience in systems programming, parallel or distributed computing, high-performance networking, or large-scale data movement. • Strong programming background in C++, Python, and ideally CUDA or other GPU programming models. • Extensive hands-on experience with AI frameworks (e.g., PyTorch, TensorFlow, JAX). • Demonstrated success in developing and refining high-throughput, low-latency systems. • Strong collaboration skills in a multi-national, interdisciplinary setting.
• Comprehensive benefits package • Highly competitive salaries
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