Senior Solutions Architect – AI, HPC, Lustre

🕒 June 9

🇺🇸 United States – Remote

💵 $197.2k - $255.2k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

NetApp

WebsiteLinkedInAll Job Openings

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.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health Insurance • Life Insurance • Retirement or Pension Plans • Paid Time Off • Various Leave options • Employee stock purchase plan • Restricted stocks (RSU’s)