> Markdown version of [/jobs/ext/4523388-ai-infrastructure-engineer](https://www.wearedevelopers.com/jobs/ext/4523388-ai-infrastructure-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Infrastructure Engineer - **Company:** MatchPoint Solutions - **Location:** Omaha, NE, United States (Remote available) - **Salary:** $156,000.0 - $172,640.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Ubuntu (Operating System), Cloud Computing, Linux, Monitoring of Systems, Job Scheduling, Machine Learning, Red Hat Enterprise Linux, Tensorflow, AI Infrastructure, Pytorch, System Availability, Information Technology, Slurm, Hardware Infrastructure, Docker - **Published:** November 2, 2026 - **Apply:** https://www.careerjet.com/jobad/us1d1afd1e2999198dee9e6854e420f655 ## About the Role * Proven experience managing AI infrastructure and operations. * Proficiency with NVIDIA Mission Control/Bright Cluster Manager and Run:AI. * Proficiency with Linux operating systems such as Ubuntu and Red Hat Enterprise Linux (RHEL). * Strong understanding of high-performance computing (HPC) environments. * Experience with cloud platforms and on-premises infrastructure. * Excellent problem-solving skills and attention to detail. * Ability to work collaboratively in a team environment and communicate effectively. * Experience training and mentoring technical teams. * Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. * Preferred: Experience with Docker and Kubernetes. * Preferred: Familiarity with AI frameworks and libraries such as TensorFlow and PyTorch. * Preferred: Knowledge of network and storage solutions for AI workloads. * Preferred: Familiarity with job scheduling technologies such as SLURM. ## Description * This role focuses on managing and optimizing AI infrastructure, ensuring seamless operations, and providing guidance and training to team members. The ideal candidate will have hands-on experience with AI operations, infrastructure management, and high-performance computing (HPC) environments. The position emphasizes operational excellence and team education rather than strategic development or workload definition., * Manage and maintain AI infrastructure, ensuring high availability and performance. * Implement and optimize AI operations using NVIDIA Mission Control/Bright Cluster Manager and Run:AI. * Collaborate with cross-functional teams to support AI workloads and ensure efficient resource utilization. * Provide training and mentorship to team members on AI infrastructure tools and best practices. * Monitor system performance and troubleshoot issues to minimize downtime and optimize resource allocation. * Assist in the deployment and scaling of AI models and applications. * Stay current with advancements in AI infrastructure technologies and recommend improvements. * Document processes, configurations, and best practices for AI infrastructure management.