Job
- Level
- Erfahren
- Ort
- Linz
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- IT, Software, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 4.611 € Brutto/Monat
Job Zusammenfassung
In dieser Position entwickelst du hochperformante GPU-Cluster, automatisierst die Infrastruktur und optimierst MLOps-Pipelines, während du direkt mit KI-Forschern zusammenarbeitest.
Job Technologien
Deine Rolle im Team
- Based in Linz, Austria, NXAI is a leading center for European AI innovation, turning advanced research into real-world industrial applications.
- Focused on next-generation xLSTM architectures, we offer companies a sovereign, on-premise alternative to US hyperscalers.
- A prime example is our zero-shot time series foundation model, TiRex, which delivers industrial enterprises a true technological edge - operating up to 50× more efficiently than traditional transformer models.
- 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
Erfahrung
- Deep experience with Linux-based production environments, distributed systems, and containerization (Docker/Podman).
- Bonus Points: Experience with modern AI frameworks (like PyTorch) and supporting large-scale model training environments.
Unser Angebot
- 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.
Benefits
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
NXAI
NXAI hat seinen Sitz in Linz und ist führend in der Forschung im Bereich Künstliche Intelligenz mit internationalem Fokus. Die Unternehmensmission besteht darin, wissenschaftliche Erkenntnisse und technologische Innovationen in praxisrelevante industrielle Anwendungen umzuwandeln.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
MLOps & AI Infrastructure Engineer
- Gehalt
- ab 4.611 € Brutto/MonatNetto aus dem Bruttogehalt im Inserat umgerechnet.ab 3.025 € netto/Monat
- Ort
- Linz
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
