Dein persönlicher KI-Karriere-Agent
AI Engineer(m/w/x)
Architecting agentic AI solutions for semiconductor manufacturing systems. 5+ years AI/ML development experience required. Flexible hours, up to 2 days WFH.
Anforderungen
- University degree in Computer Science, Electrical Engineering or related field
- Min. 5 years post-graduation software engineering experience
- Preferable Machine Learning and Deep Learning experience
- Min. 5 years AI/ML development experience
- Strong exposure to agent-based systems or reinforcement learning
- Experience designing, evaluating, deploying, and monitoring AI/ML applications
- Proficiency in Python, JavaScript, Angular/Vue, C/C++, PyTorch
- Experience developing web-based front-ends
- Understanding of cloud platforms and MLOps
- Understanding of semiconductor manufacturing processes and data pipelines (plus)
- Experience with LLM pre-training (optional, significant advantage)
- Strong communication skills
- Ability to work in a dynamic cross-functional environment
- Flexibility with evolving requirements
- Ability to onboard latest technologies and models
- Fluent verbal and written English communication
- German language skills (plus)
Aufgaben
- Architect agentic AI solutions for semiconductors
- Implement AI solutions for semiconductor applications
- Develop multi-agent systems for semiconductor domains
- Integrate reasoning into AI workflows
- Integrate planning into AI workflows
- Integrate reinforcement learning into AI workflows
- Collaborate with hardware teams for seamless deployment
- Collaborate with software teams for usability
- Collaborate with data teams for user experience
- Evaluate emerging agent-based AI technologies
- Apply emerging AI technologies to semiconductor challenges
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- JavaScript
- Angular
- Vue
- C/C++
- PyTorch
- Machine Learning
- Deep Learning
- AI/ML
- agent-based systems
- reinforcement learning
- LLM
- cloud platforms
- MLOps
Benefits
Sicherer Arbeitsplatz
- Permanent employment contract
Flexibles Arbeiten
- Flexible working hours
- Up to 2 days work from home
Boni & Prämien
- Additional payments
- Recognition incentives
Betriebliche Altersvorsorge
- Company pension schemes
Familienfreundlichkeit
- Family friendly total rewards package
Team Events & Ausflüge
- Team events
- Football table
Snacks & Getränke
- Fruits
- Drinks
Sonstige Vorteile
- XBOX
- Semiconductor fab visit
Parkplatz & Pendelvorteile
- Garage parking
Weiterbildungsangebote
- Language courses
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AI Engineer(m/w/x)
Architecting agentic AI solutions for semiconductor manufacturing systems. 5+ years AI/ML development experience required. Flexible hours, up to 2 days WFH.
Anforderungen
- University degree in Computer Science, Electrical Engineering or related field
- Min. 5 years post-graduation software engineering experience
- Preferable Machine Learning and Deep Learning experience
- Min. 5 years AI/ML development experience
- Strong exposure to agent-based systems or reinforcement learning
- Experience designing, evaluating, deploying, and monitoring AI/ML applications
- Proficiency in Python, JavaScript, Angular/Vue, C/C++, PyTorch
- Experience developing web-based front-ends
- Understanding of cloud platforms and MLOps
- Understanding of semiconductor manufacturing processes and data pipelines (plus)
- Experience with LLM pre-training (optional, significant advantage)
- Strong communication skills
- Ability to work in a dynamic cross-functional environment
- Flexibility with evolving requirements
- Ability to onboard latest technologies and models
- Fluent verbal and written English communication
- German language skills (plus)
Aufgaben
- Architect agentic AI solutions for semiconductors
- Implement AI solutions for semiconductor applications
- Develop multi-agent systems for semiconductor domains
- Integrate reasoning into AI workflows
- Integrate planning into AI workflows
- Integrate reinforcement learning into AI workflows
- Collaborate with hardware teams for seamless deployment
- Collaborate with software teams for usability
- Collaborate with data teams for user experience
- Evaluate emerging agent-based AI technologies
- Apply emerging AI technologies to semiconductor challenges
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- JavaScript
- Angular
- Vue
- C/C++
- PyTorch
- Machine Learning
- Deep Learning
- AI/ML
- agent-based systems
- reinforcement learning
- LLM
- cloud platforms
- MLOps
Benefits
Sicherer Arbeitsplatz
- Permanent employment contract
Flexibles Arbeiten
- Flexible working hours
- Up to 2 days work from home
Boni & Prämien
- Additional payments
- Recognition incentives
Betriebliche Altersvorsorge
- Company pension schemes
Familienfreundlichkeit
- Family friendly total rewards package
Team Events & Ausflüge
- Team events
- Football table
Snacks & Getränke
- Fruits
- Drinks
Sonstige Vorteile
- XBOX
- Semiconductor fab visit
Parkplatz & Pendelvorteile
- Garage parking
Weiterbildungsangebote
- Language courses
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
KLA
Branche
Manufacturing
Beschreibung
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem, focusing on innovation and R&D.
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- KLA
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