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© All Rights Reserved. ApplyBlast.com
nutanix
This role involves architecting, building, and scaling the Nutanix Kubernetes Platform (NKP) to support enterprise AI/ML workloads, GPU infrastructure, and modern applications. The engineer will bridge container orchestration with AI/ML workloads, tackling challenges in distributed systems, GPU scheduling, and platform resilience. The position requires deep expertise in Golang, Python, Kubernetes internals, and MLOps frameworks to optimize AI-native infrastructure.
Headquarters
San Jose, California, United States
Company Size
5001-10000 employees
Founded
2009
Nutanix is an enterprise cloud computing company that provides a unified platform to run applications, data, and AI workloads across private, public, and edge clouds. Its software-defined infrastructure and cloud services—including hyperconverged infrastructure, integrated management, and data services—simplify operations, enable hybrid/multi‑cloud deployments, and accelerate modernization. Organizations use Nutanix for scalable, consistent infrastructure that reduces complexity while delivering performance, security, and centralized management.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for nutanix.
nutanix didn’t post a salary, so this is our estimate from similar listings.
24% above the average for this role
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