Job
- Level
- Experienced
- Job Field
- IT, Software, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 4.611 € Gross/Month
- Location
- Linz
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop high-performance GPU clusters, automate infrastructure, and optimize MLOps pipelines while collaborating directly with AI researchers.
Job Technologies
Your role in the 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 (m/f/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.
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Our expectations of you
Qualifications
- 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.
Experience
- 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.
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What we offer
- 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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Benefits
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
NXAI
Based in Linz, NXAI is a leading force in Artificial Intelligence research with a global perspective. NXAI's central mission is to translate research findings and technological advancements into market-relevant industrial applications.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Internet, IT, Telecommunication
MLOps & AI Infrastructure Engineer
- Salary
- from 4.611 € Gross/MonthNet salary converted from the gross salary in the job ad.from 3.025 € net/Month
- Location
- Linz
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
