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
Software Architecture Engineer
Job not on LinkedIn
2 days ago
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
• Design and analyze end-to-end networking architectures for large-scale AI workloads and distributed training systems • Pushing the boundaries of AI-cluster networking through performance modeling, simulation, and optimization techniques • Defining strategic networking solutions for NVIDIA's AI infrastructure in collaboration with adjacent software and hardware architects • Collaborating closely with cross-functional teams to research, prototype, and validate new networking technologies for AI applications
🎯 Requirements
• Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, or equivalent experience • 5+ years of experience building large-scale distributed systems or performance-critical software • Deep understanding of deep learning systems, GPU acceleration, and AI model execution flows • Solid software engineering skills in C++ and/or Python, with strong familiarity with CUDA or similar platforms • Strong system-level thinking across memory, networking, scheduling, and compute orchestration • Excellent communication skills and ability to collaborate across diverse technical domains
🏖️ Benefits
• Competitive salaries • Generous benefits package
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