NVIDIA
Artificial Intelligence • Gaming • Automotive
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.
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Senior Software Architect – Deep Learning, HPC Communications
Job not on LinkedIn
November 17
NVIDIA
Artificial Intelligence • Gaming • Automotive
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.
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 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
• Highly competitive salaries • Extensive benefits package • Work environment that promotes diversity, inclusion, and flexibility
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