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Innovative Technology Strategist for Cloud Infrastructure
1 month ago
About NetApp
Company OverviewWe are the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities.
Our people are at the heart of this journey, and we're always looking for talented individuals to join our team.
Salary and BenefitsThe estimated annual salary for this role is around $250,000-$300,000, depending on experience and qualifications. We also offer a comprehensive benefits package, including medical, dental, wellness, and vision plans, as well as educational assistance, legal services, and access to discounts.
Our volunteer time off program is best in class, offering employees 40 hours of paid time per year to volunteer with their favorite organizations.
Job DescriptionDistinguished Engineers at NetApp are individual contributors who strive to be diverse in technology and provide technical leadership, architectural guidance, and lead innovation to senior architects and engineers. They possess the ability to influence, collaborate, set technical direction, develop product roadmaps, and provide innovative solutions to solve architectural and business problems.
This role requires expertise in software and system design for highly scalable distributed storage systems, control and data plane architectures, core operating systems fundamentals required to fuel large scale AI infrastructure for GenAI and AI as a Service.
Required Skills and QualificationsTo succeed in this role, you will need:
- 15+ years' experience and regarded as a strategic problem solver across a broad set of constituents across your company and/or industry.
- Experience in building highly available and performant Enterprise grade storage products that can be leveraged for AI infrastructure, model training and inferencing.
- Extensive technical depth on storage and AI infrastructure. Strong understanding of the AI infra tech trends, industry development and business priorities.
- Understanding of AI data pipelines, model development, training, inferencing as well as model preservation for tuning and tracing.
- Experience with distributed storage, filesystems and networking protocols needed to build large scale storage for multi modal LLMs.
- Ability to get consensus and set technical direction across a large engineering organization.
We enable a healthy work-life balance and tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches. If you want to help us build knowledge and solve big problems, let's talk.
