Staff Solution Engineer - DevOps Software Solution (27728)

Supermicro • San Jose, CA

4d

About The Position

We are seeking a highly skilled and motivated Staff Solution Engineer to lead efforts in benchmarking, performance tuning, and platform automation for HPC and AI workloads. This role is critical to ensuring our systems meet performance targets for RFQs and support scalable, automated deployment across diverse environments.Essential Duties and Responsibilities: Includes the following essential duties and responsibilities (other duties may also be assigned):• HPC & AI Benchmarking   o Execute performance benchmarks for HPC and AI workloads, including MLPerf, across various GPU systems.   o Analyze and optimize system configurations to meet RFQ performance requirements.• Performance Tuning & Cluster Optimization   o Identify bottlenecks and implement tuning strategies for compute, memory, and I/O performance.   o Scale and maintain large compute clusters for high-demand workloads.• Platform Automation & Infrastructure Engineering   o Automate deployment and configuration using Ansible, Terraform, and Docker.   o Develop infrastructure-as-code solutions to support reproducible and scalable environments.• Backend & Middleware Development   o Build backend services and middleware to support large-scale distributed deployments.   o Ensure reliability, modularity, and performance of backend systems.• CI/CD & DevOps Integration   o Design and maintain CI/CD pipelines to support agile development and minimize downtime.   o Collaborate with DevOps teams to streamline software delivery and system updates.• System Administration & OS Engineering   o Perform hands-on installation, tuning, and troubleshooting of Linux systems, especially Red Hat-based environments.   o Manage software-defined storage and networking components including DNS, DHCP, PXE, and cluster provisioning.   o Maintain and configure Proof-of-Concept (PoC) system components.   o Support the system certification processes required by ISV partners.• Containerization & Orchestration   o Deploy and manage containerized workloads using Kubernetes.   o Integrate container orchestration with benchmarking and automation workflows.• Documentation & Collaboration   o Maintain clear and comprehensive technical documentation.   o Work closely with cross-functional teams including hardware, QA, and product management.

Requirements

• Bachelor or Master degree in Computer Science or a related field
• Minimum 12 years of professional experiences with Python and Shell script
• Proven experience with HPC and AI benchmarking tools (e.g., MLPerf).
• Strong proficiency in Ansible, Terraform, Docker, and Python.
• Hands-on experience configuring and troubleshoot Linux OS, servers and network switches.
• Solid understanding of software-defined storage, networking (DNS, DHCP, PXE), system provisioning and state-of-the-art datacenter operations.
• Excellent problem-solving, documentation, and collaboration skills.
• Ability to work independently and lead technical initiatives.

Responsibilities

• HPC & AI Benchmarking
• Execute performance benchmarks for HPC and AI workloads, including MLPerf, across various GPU systems.
• Analyze and optimize system configurations to meet RFQ performance requirements.
• Performance Tuning & Cluster Optimization
• Identify bottlenecks and implement tuning strategies for compute, memory, and I/O performance.
• Scale and maintain large compute clusters for high-demand workloads.
• Platform Automation & Infrastructure Engineering
• Automate deployment and configuration using Ansible, Terraform, and Docker.
• Develop infrastructure-as-code solutions to support reproducible and scalable environments.
• Backend & Middleware Development
• Build backend services and middleware to support large-scale distributed deployments.
• Ensure reliability, modularity, and performance of backend systems.
• CI/CD & DevOps Integration
• Design and maintain CI/CD pipelines to support agile development and minimize downtime.
• Collaborate with DevOps teams to streamline software delivery and system updates.
• System Administration & OS Engineering
• Perform hands-on installation, tuning, and troubleshooting of Linux systems, especially Red Hat-based environments.
• Manage software-defined storage and networking components including DNS, DHCP, PXE, and cluster provisioning.
• Maintain and configure Proof-of-Concept (PoC) system components.
• Support the system certification processes required by ISV partners.
• Containerization & Orchestration
• Deploy and manage containerized workloads using Kubernetes.
• Integrate container orchestration with benchmarking and automation workflows.
• Documentation & Collaboration
• Maintain clear and comprehensive technical documentation.
• Work closely with cross-functional teams including hardware, QA, and product management.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees