Machine Learning & AI Infrastructure Engineer
Job Description
Description
Machine Learning & AI Infrastructure Engineer. This is not a traditional AI Engineer or Data Scientist role. The hiring team is specifically seeking a unique blend of: HPC Administrator + Kubernetes Administrator + AI Infrastructure Operations Engineer. Candidates who have owned, operated, supported, and troubleshot production AI or HPC environments will be the strongest fit. Experience administering and maintaining systems is significantly more important than architecture-only experience. Responsibilities:
- Administer and support AI and HPC cluster environments
- Manage day-to-day operations of large-scale compute infrastructure
- Deploy, maintain, and troubleshoot Kubernetes-based platforms
- Ensure reliability, performance, and scalability across compute, storage, and networking environments
- Support AI model training and inference infrastructure
- Automate operational processes through scripting and tooling
- Partner with engineering teams and customers to optimize platform performance
- Troubleshoot complex infrastructure, networking, storage, and containerization issues
- Support both internal platforms and customer-facing environments
Requirements
- Strong experience administering High Performance Computing (HPC) environments
- Experience with AI cluster administration and infrastructure operations
- Hands-on Kubernetes administration experience in on-premises environments
- Experience provisioning and managing PV/PVC storage through Kubernetes CSI drivers
- Strong Linux administration skills, specifically Ubuntu
- Scripting experience with Bash and/or Python
- Proven troubleshooting and operational support experience
- Ability to manage and maintain production infrastructure environments
Experience with one or more of the following:
- Dell PowerScale/Isilon
- VAST Storage
- NetApp ONTAP
- DDN IntelliFlash
- DDN Exascaler
- Lustre Parallel File Systems
Successful candidates may come from organizations focused on:
- AI Infrastructure
- Machine Learning Platforms
- HPC Operations
- Research Computing
- Biotechnology
- Academic Medical Centers
- Digital Biology
- Financial Services AI Platforms
- Automotive AI Initiatives
- Large-Scale Data Science Environments
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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