
10,000+ employees
Founded 1992
🔌 API
🤖 Artificial Intelligence
☁️ SaaS
💰 Venture Round on 1994-01
API • Artificial Intelligence • SaaS
NetApp is the intelligent data infrastructure company that provides innovative solutions for businesses to harness the power of their data. They offer a range of services including unified data storage, cloud management, and data protection to simplify and enhance data handling across various platforms. With a focus on modernizing storage environments and enabling efficient data management, NetApp serves various industries by helping organizations optimize their workflows and boost productivity.
🕒 Yesterday
🇺🇸 United States – Remote
💵 $197.2k - $255.2k / year
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1992
🔌 API
🤖 Artificial Intelligence
☁️ SaaS
💰 Venture Round on 1994-01
API • Artificial Intelligence • SaaS
NetApp is the intelligent data infrastructure company that provides innovative solutions for businesses to harness the power of their data. They offer a range of services including unified data storage, cloud management, and data protection to simplify and enhance data handling across various platforms. With a focus on modernizing storage environments and enabling efficient data management, NetApp serves various industries by helping organizations optimize their workflows and boost productivity.
• Lead advanced discussions with Enterprise customers around AI, analytics, and high-performance computing (HPC) architectures. • Assess customer environments, focusing on data-intensive workloads, GPU clusters, and performance bottlenecks in storage pipelines. • Identify opportunities where parallel file systems like Lustre can accelerate AI training, simulation workloads, and large-scale analytics. • Help customers architect and optimize HPC and AI storage solutions that bridge on-premises infrastructure with NeoCloud and AI hyperscaler GPU providers.
• 7+ years in Solutions Architecture, pre-sales, or customer-facing technical roles with emphasis on AI/ML, HPC, or high-performance data platforms. • Hands-on experience with Parallel file systems (Lustre strongly preferred) or other HPC storage architectures. • GPU-accelerated workloads (NVIDIA ecosystem, distributed training environments). • AI/ML frameworks (PyTorch, TensorFlow, or similar). • Data-intensive workloads such as simulation, modeling, large-scale analytics, or AI training pipelines.
• Health Insurance • Life Insurance • Retirement or Pension Plans • Paid Time Off • Various Leave options • Employee stock purchase plan • Restricted stocks (RSU’s)
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