Sr. Product Engineer, Software

Supermicro•San Jose, CA

About The Position

Supermicro is seeking a Senior Product Engineer, Software specializing in cloud software deployment and automation to support the deployment, integration, and operational automation of large-scale cloud and AI infrastructure platforms. This role will focus on cloud orchestration software deployment, Kubernetes and OpenStack-based infrastructure automation, and GPU-accelerated cloud platform enablement across enterprise and cloud service provider environments. The position requires deep expertise in cloud infrastructure deployment, Linux-based platform operations, Kubernetes container orchestration, and OpenStack private cloud architecture, along with experience deploying scalable cloud platforms supporting AI and high-performance computing workloads using products such as Supermicro SuperCloud Developer Experience Console and SuperCloud Director. The engineer will work closely with cloud customers, solution architects, and internal engineering teams to ensure successful deployment and operationalization of Supermicro AI cloud platforms.

Requirements

8+ years of experience in cloud infrastructure engineering, platform deployment, or cloud systems engineering.
Hands-on experience deploying Kubernetes clusters and container orchestration environments.
Experience implementing OpenStack private cloud platforms.
Proven experience supporting large-scale distributed cloud deployments.
Kubernetes cluster architecture and operations
OpenStack cloud platform deployment
Linux systems administration
Cloud automation and infrastructure orchestration
Distributed cluster deployment and operations
GPU cluster deployment for AI workloads
Cloud networking and storage architecture
Container orchestration platforms
Virtualization platforms and distributed cloud infrastructure
Multi-node cluster environments
GPU accelerated computing platforms
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related technical field.

Nice To Haves

Experience supporting AI infrastructure platforms or GPU clusters.
Experience deploying cloud platforms for enterprise, research, or government institutions.
Knowledge of hybrid cloud and multi-region infrastructure architectures.
Experience with automation frameworks and scripting for infrastructure deployment.

Responsibilities

Deploy and configure cloud infrastructure platforms based on Kubernetes and OpenStack for enterprise and cloud service provider environments.
Implement automated deployment pipelines for cloud software stacks supporting AI and HPC workloads.
Integrate Supermicro systems with GPU-accelerated infrastructure for AI model training and inference workloads.
Develop and maintain automation frameworks for infrastructure provisioning, cluster deployment, and lifecycle management.
Implement configuration management and infrastructure-as-code workflows for scalable cloud deployments.
Automate deployment of distributed clusters across multi-node environments.
Design and deploy containerized cloud infrastructure using Kubernetes.
Implement GPU-aware scheduling and container orchestration for AI workloads.
Optimize container environments for performance, scalability, and reliability.
Deploy and manage OpenStack-based private cloud environments supporting enterprise and research workloads.
Integrate OpenStack with Kubernetes environments for hybrid cloud deployments.
Optimize compute, storage, and networking configurations in OpenStack clusters.
Analyze system performance across distributed clusters and optimize resource allocation.
Support GPU resource management and cluster-level workload optimization.
Ensure reliability, scalability, and security of deployed cloud platforms.
Provide technical leadership and engineering support for cloud infrastructure deployments across enterprise and government customers.
Collaborate with customers during architecture design, implementation, and operational rollout phases.
Support international deployments across multi-region cloud environments.
Work closely with product management, systems engineering, and software development teams to improve automation frameworks and deployment processes.
Contribute feedback from field deployments to improve Supermicro cloud software products.