
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.
🔥 6 minutes ago
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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.
• Develop AI networking communication frameworks and production applications for large-scale supercomputers and data centers • Develop production tools and benchmarks used by teams inside and outside NVIDIA • Enable new AI models within the benchmarking infrastructure • Deliver insights through end-to-end analysis of large-scale workloads across hardware and software stacks • Design and implement automation systems, including large-scale parameter searches for optimal configurations • Collaborate with networking and hardware teams to co-design features and software interfaces
• B.Sc. or M.Sc. degree in Computer Science or Software Engineering, and 5+ years or equivalent experience • Professional Python development experience • Solid Linux expertise • Ability to work extensively in command-line environments • Ability to work across a broad and evolving stack, from hardware and networking to large-scale AI systems across clusters • Knowledge and/or experience with PyTorch, LLMs, inference, and training • Familiarity with Slurm or Kubernetes • Knowledge of MPI and HPC, InfiniBand, Ethernet, and networking • Experience in performance optimizations
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