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# MLOps & AI Infrastructure Engineer

- **Company:** NXAI
MLOps & AI Infrastructure EngineerNXAI
- **Location:** Linz, Austria
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Clusters, Continuous Integration, Linux, Distributed Systems, Github, General-Purpose Computing on Graphics Processing Units, Software Deployment, AI Infrastructure, Scripting, Pytorch, IT Architecture, Reliability of Systems, Containerization, Kubernetes, Slurm, Machine Learning Operations, Docker
- **Published:** September 25, 2026
- **Apply:** https://devjobs.at/job/e077b90a051ffc1e410508a14459a6f6

## About the Role

* A hands-on problem solver passionate about building resilient systems that accelerate AI deployment.
 * Proven track record with workload schedulers (Slurm), Kubernetes, CI/CD pipelines (e.g., GitHub Actions) and Python scripting.
 * Hands-on expertise with GPU computing environments, storage optimization and building/monitoring MLOps pipelines., * Bonus Points: Experience with modern AI frameworks (like PyTorch) and supporting large-scale model training environments.

## Description

* As we expand our capabilities and deploy models at massive scale, we are looking for an MLOps Engineer (f/m/d) to design, scale and orchestrate the high-performance GPU clusters powering the next generation of AI.
 * In this role, you will shape the future of NXAI's AI infrastructure by:
 * Scaling AI Architecture: Designing, operating and automating our high-performance infrastructure across cloud, HPC and on-premise environments.
 * Empowering Research: Collaborating with Research and Applied Research teams to translate cutting-edge AI models into scalable, production-ready systems.
 * Optimizing GPU Clusters: Managing and fine-tuning large-scale GPU compute, storage and networking resources for intensive workloads.
 * Driving MLOps & Orchestration: Building robust machine learning pipelines and managing orchestration platforms using Kubernetes and Slurm.
 * Ensuring Excellence: Implementing modern CI/CD workflows and maintaining the highest standards for system reliability, security, and observability., * Deep experience with Linux-based production environments, distributed systems, and containerization (Docker/Podman)., * The Mission & Impact: Shape the Future of AI: The chance to contribute to technology that has the potential to redefine how AI systems are built, trained and deployed.
 * Challenging the Status Quo: Work directly with leading AI researchers, including the creators of xLSTM, on technologies that challenge the current transformer paradigm.
 * A Key Position: A central role in enabling foundation model research, industrial AI applications and efficient AI systems that can run from cloud-scale infrastructure down to edge devices.
 * Ownership & Autonomy: Significant ownership, autonomy and the ability to shape our infrastructure, tooling and engineering culture within a highly talented, research-driven team.


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