
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.
🔥 11 minutes ago
🗣️🇷🇺 Russian Required
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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.
• Lead technical discovery with customer architects, engineers, and executives to understand business goals, AI/HPC workloads, performance requirements, security constraints, and deployment environments • Design end-to-end AI Factory solutions spanning compute, networking, storage, cluster management, and workload orchestration • Guide customers through adoption of NVIDIA's full-stack platform • Run proof-of-concepts, workshops, technical enablement, demos, and architecture solution reviews to prove technical and business value and accelerate customer adoption • Partner with sales account managers to shape technical strategy, qualify opportunities, develop solution proposals, and secure customer wins • Lead technical design reviews, bills of materials, deployment plans, readiness assessments, and handoffs to implementation and operations teams • Build and grow trusted technical relationships with engineers, architects, IT leaders, and executives at strategic customer accounts
• BS, MS or PhD in Computer Science, Engineering or a related field (or equivalent experience) • 5+ years in senior technical roles such as Solutions Architect, Systems Architect, AI/ML Platform Engineer, Technical Consultant, or similar • Established track record designing, deploying, or operating AI and HPC infrastructure at enterprise scale • Deep technical expertise in several of the following: datacenter infrastructure, distributed systems, high-performance networking, storage, cluster management, AI/HPC workload orchestration, and GPU-accelerated computing • Experience leading technical discovery, architecture workshops, proof-of-concepts, performance validation, and executive-level technical presentations • Effective collaboration across teams, combined with excellent written and verbal communication • Strong experience working with enterprise customers across Armenia and Central Asia • Native or fluent Armenian and Russian, with professional English • Hands-on experience with the NVIDIA AI Factory stack • Experience with MEP (Mechanical, Electrical, and Plumbing) systems used in AI Factory construction, including cooling infrastructure, power distribution, and plumbing systems
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