Senior AI Infrastructure Engineer
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Location: Remote
Compensation: Salary
Reviewed: Thu, Nov 12, 2026
This job expires in: 30 days
Job Summary
Designing, building, and maintaining large-scale production systems, the full-time Senior AI Infrastructure Engineer will ensure high efficiency and availability for GPU cloud services while working remotely.
Key responsibilities
- Design, build, deploy, and run internal tooling for AI training and inferencing platforms on cloud infrastructure
- Conduct performance characterization and analysis on multi-GPU and multi-node clusters
- Engage in the entire service lifecycle from inception to deployment and ongoing refinement
Required qualifications
- BS degree in Computer Science or a related technical field, or equivalent experience
- 5+ years of experience in infrastructure automation and distributed systems architecture
- Proficiency in one or more programming languages such as Python, Go, C/C++, or Java
- Comprehensive understanding of Linux, Networking, Storage, and Container Technologies
- Experience with Public Cloud, Infrastructure as Code (IaC), and Terraform
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