- Advise: Guide organizations through Data Center and infrastructure transformation journeys, such as adopting AI, deploying high-performance computing (HPC) or edge computing solutions, modernizing legacy environments, or migrating workloads to the cloud.
- Design and Implement: Architect and implement comprehensive infrastructure solutions—including AI platforms, compute resources, storage, and networking—across cloud, on-premises, and hybrid environments.
- Automate and Optimize: Implement automation for infrastructure deployment, management, and monitoring using industry-leading tools (such as Terraform, Ansible, or CloudFormation), driving efficiency and consistency.
- Collaborate Across Teams: Work alongside multi-disciplinary teams—including data scientists, cloud architects, and application developers—to deliver optimized infrastructure for AI workloads, business-critical applications, and HPC projects.
- Stay Ahead of Trends: Maintain up-to-date knowledge of advancements in AI, cloud computing, network technologies, infrastructure automation, and trends in HPC infrastructure, ensuring innovative solutions for clients.
- Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2027 pursuing a bachelor’s degree or higher in a STEM-related discipline or a related/equivalent program
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
- Must live within a commutable distance to your assigned office (e.g. 100-mile radius) with the ability to commute daily, if required, upon start date
- Candidates must be at least 18 years of age at time of employment
- Strong interest in learning about AI infrastructure and/or high-performance computing concepts
- Foundational knowledge of IT infrastructure domains: networking, operating systems, virtualization, cloud
- Familiarity with scripting or automation tools (e.g., Python, PowerShell, Bash)
- Experience or exposure to configuration tools (e.g., AWS/Azure/GCP/HPE/Dell/Nvidia/VMware consoles or management tools)
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