
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.
🔥 17 hours 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.
• Partner with internal customers across the full lifecycle of their DGX Cloud usage, helping teams adopt the platform, remove blockers, and get faster time to value. • Translate workload, business, and technical requirements into scalable recommendations across compute, networking, storage, and cloud environments. • Turn repeat customer needs into reusable playbooks, tooling, dashboards, and operating patterns that improve adoption and reduce friction. • Work across Engineering, Product, Operations, and Finance to surface customer insights, influence roadmap decisions, and improve infrastructure planning and GPU resource efficiency. • Guide customers through architecture reviews, performance tuning, and cloud portability decisions for AI and machine learning workloads. • Use data, usage signals, and operational trends to identify risks, spot opportunities, and improve how DGX Cloud supports current and future demand. • Contribute lightweight automation or code when needed to accelerate delivery and improve day-to-day operations.
• BS or MS in Computer Science, Engineering, or a related field, or equivalent experience. • 12+ years of experience in customer success, solutions architecture, cloud engineering, technical account management, or a similar customer-facing infrastructure role. • Strong hands-on knowledge of cloud infrastructure, including compute, networking, storage, and deployment patterns across public cloud and on-prem environments. • Experience working with distributed systems, Kubernetes, schedulers, or large-scale platform infrastructure. • Ability to translate customer goals into technical solutions and influence cross-functional teams through strong written and verbal communication. • Experience using data, operational signals, or customer feedback to drive decisions, improve adoption, and shape better workflows or product outcomes. • Working knowledge of at least one programming or scripting language such as Python, Go, or shell scripting. • Track record of operating effectively in fast-moving or ambiguous environments and driving issues through resolution.
• equity • benefits
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