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# Intelligent Infrastructure Engineer

- **Company:** Amazon.com, Inc.
- **Location:** Ashburn, VA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $100,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Computer Clusters, Code Review, Cyber Security, Continuous Integration, Distributed Computing Environment, InfiniBand, Python (Programming Language), Linux Kernel, Machine Learning, Open Source Technology, Remote Direct Memory Access, Software Engineering, AI Infrastructure, Kubernetes, Information Technology, Slurm, Machine Learning Operations
- **Published:** July 30, 2026
- **Apply:** https://www.careerjet.com/jobad/us241ec448a089c69574f31a4723532e58

## About the Role

* Bachelor's or Master's degree in Computer Science or a related field.
 * Six or more years of experience in infrastructure, platform, or HPC engineering.
 * Hands-on experience operating GPU clusters or large-scale ML training infrastructure.
 * Strong proficiency in Python and at least one systems language such as Go or C++.
 * Deep understanding of distributed training, accelerator architectures, and collective communication.
 * Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads.
 * Strong understanding of Linux internals, networking, and high-performance storage.
 * Experience with at least one major cloud provider's ML infrastructure offerings.
 * Strong software engineering practices including testing, CI/CD, and code review.
 * Excellent communication and cross-functional collaboration skills.

Preferred Qualifications

 * Experience operating InfiniBand or RDMA networking at scale.
 * Contributions to open-source ML infrastructure projects.
 * Familiarity with custom orchestrators or research-grade training stacks.
 * Exposure to frontier model training operations.
 * Experience with FinOps for AI workloads.

## Description

We are seeking an Intelligent Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, with strong emphasis on reliability, efficiency, and cost control. The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work., MANTECH seeks a motivated, career and customer-oriented Principal Cyber Security Engineer to join our team in Chantilly, VA. Principal Cyber Security engineers are responsible fo…

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