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 Software Architect - Deep Learning, HPC Communications
October 22, 2024
🇺🇸 United States – Remote
💵 $180k - $339.3k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack 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
• Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems. • Design and implement new communication technologies to accelerate AI and HPC workloads. • Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects. • Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations. • Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs).
🎯 Requirements
• M.S./Ph.D. degree in CS/CE or equivalent experience. • 5+ years of relevant experience. • Excellent C/C++ programming and debugging skills. • Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC). • Deep understanding of operating systems, computer and system architecture. • Solid in fundamentals of network architecture, topology, algorithms, and communication scaling relevant to AI and HPC workloads. • Strong experience with Linux. • Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
🏖️ Benefits
• Eligible for equity and benefits.
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