Job
- Level
- Senior
- Ort
- Dresden
- Arbeitsmodell
- Onsite
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Rolle entwirfst du Architektur für KI-Plattformen, implementierst flexible Infrastruktur und verantwortest die Integration von Modellen in produktive Systeme in hochsicheren Umgebungen.
Job Technologien
Deine Rolle im Team
- Define end-to-end architecture for on-prem / air gapped AI platforms, including compute, storage, networking, and model serving layers.
- Design and implement portable AI infrastructure using open-source components (model serving, orchestration, vector storage, pipelines).
- Translate product requirements into scalable system architectures, including deployment topology and hardware sizing.
- Establish security, isolation, and resilience patterns for AI workloads in restricted environments.
- Own decisions on model hosting, orchestration, observability, and lifecycle management.
- Design and deploy agentic and multi-agent systems on top of production-grade infrastructure.
- Integrate reasoning, planning, and learning capabilities into reliable, observable, and maintainable systems.
- Collaborate with hardware, software, and data teams to ensure seamless deployment and usability in production environments.
- Drive integration of AI systems into existing products and workflows in semiconductor manufacturing.
- Continuously evaluate and adapt emerging AI and infrastructure technologies for real-world industrial use cases.
- Guide architectural decisions around AI infrastructure, model deployment, and system evolution.
- Contribute to building internal standards and reusable components for AI engineering across the division.
Unsere Erwartungen an dich
Ausbildung
- University degree in Computer Science, Electrical Engineering, or a related field.
Qualifikationen
- Expertise in deploying AI/ML systems in on-premise, air gapped, or otherwise restricted environments.
- Ability to define and evaluate hardware requirements (GPU/CPU/memory/storage/networking) for AI workloads.
- Fluent communication in English.
- Familiarity with composing AI stacks from open-source components rather than relying on managed services is an advantage.
- Understanding of semiconductor manufacturing processes and data pipelines is an advantage.
Erfahrung
- Strong experience in solution architecture and system design for production-grade software systems.
- Hands-on experience with model serving and inference systems (e.g. vLLM or similar).
- Experience with distributed systems, high-performance computing, or data-intensive platforms.
- Experience with CI/CD and MLOps for offline or partially connected environments.
- Strong programming skills (Python required; experience with systems-level languages such as C/C++ or Rust is a plus).
- Experience building cloud-independent AI platforms or migrating workloads away from managed cloud services is an advantage.
- Experience with agent-based systems, reinforcement learning, or LLM-based applications is an advantage.
Unser Angebot
- We offer a competitive, family friendly total rewards package.
- We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Mehr Netto
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Kla Corporation
Die KLA Corporation gehört zu den weltweit führenden Unternehmen in der Entwicklung, Herstellung und Vermarktung von Kontroll- und Verbesserungsverfahren für Halbleiterproduktionsprozesse.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Industrie, Produktion
Senior AI Systems & Platform Engineer
- Ort
- Dresden
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
