20 beste Stellen als lead platform engineer in moosinning – aktuell auf Personalsuche

R&D Engineer – AI Integration (m/f/d)
Advantest —München
- Azure
- Informatik
- Datenanalyse
Staff Hardware Engineer (m/f/d) - Fernride GmbH
Quantum- Systems GmbH —München
- Vollzeit
- Bachelor
- Scripting
- Erfahrung mit Netzwerken
Direkt bewerben
Embedded Software Engineer – Senior HMI Developer (m/f/d)
LivaNova —München
- Vollzeit
- Informatik
- Master
- C++
Principal Software Engineer
Noyes Robotics GmbH —München
- Vollzeit
- Softwareentwicklung
- APIs
Direkt bewerben
Principal Data Architect (m/f/d)
Thoughtworks —München
- Vertrieb
- Machine Learning
- Künstliche Intelligenz
Senior / Staff Cloud Engineer (d/f/m)
Entrix —München
- 95.000 € – 135.000 € pro Jahr
- Vollzeit
- AWS
- Scripting
- Softwareentwicklung
Direkt bewerben
Principal AI Software Engineer (m/f/x) — Industrial AI
appliedAI —München
- Vollzeit
- Azure
- AWS
- APIs
- Homeoffice-Möglichkeit
Direkt bewerben
5 Tage
(Senior) IT / System Administrator - Operations & Security (d/f/m)
Entrix —München
- 75.000 € – 90.000 € pro Jahr
- Vollzeit
- Windows
- Master
- Bachelor
Direkt bewerben
Staff Software Engineer (d/m/f)
Flexa —München
- 115.000 € – 135.000 € pro Jahr
- Vollzeit
- AWS
- Softwareentwicklung
- Python
Direkt bewerben
Product Manager - AI Platform (m/f/x)
Scalable GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Master
- APIs
- Künstliche Intelligenz
Direkt bewerben
HMID BU Marketing Manager
Microchip Technology —Garching bei München
- Vollzeit
- Microsoft Excel
- Informatik
- Englisch
Senior Site Reliability Engineer (m/w/d)
Impower GmbH —München
- Vollzeit
- Azure
- Java
- Master
- Flexible Arbeitszeiten
Direkt bewerben
12 Tage
Senior Manager, Solution Consulting - Moveworks
ServiceNow —München
- Vollzeit
- Vertrieb
- APIs
Direkt bewerben
Staff AI Agent Engineer – Moveworks | Customer Deployment
ServiceNow —München
- Vollzeit
- Hybrides Arbeiten
- Azure
- Windows
- Master
Direkt bewerben
5 Tage
AI / ML Lead Consultant (m/w/d)
Devoteam G Cloud Germany —München
- Vollzeit
- Hybrides Arbeiten
- Azure
- Informatik
- Englisch
Direkt bewerben
Engineering Manger - Munich
Impower GmbH —München
- Vollzeit
- Java
- SQL
- AWS
- Flexible Arbeitszeiten
Direkt bewerben
Program Director - Professional Services - German Speaking
ServiceNow —München
- Vollzeit
- Hybrides Arbeiten
- Projektmanagement
- Mit Reiseanteil
- Agile
Direkt bewerben
Customer Success Executive
ServiceNow —München
- Vollzeit
- Englisch
- Künstliche Intelligenz
- Führungserfahrung
Direkt bewerben
Staff Engineer - Client Technology (m/f/x)
Scalable GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- DevOps
- Java
Direkt bewerben
Working Student / Internship - Energy Systems & IoT Integration (d/f/m)
Flexa —München
- 18 € – 21 € pro Stunde
- Teilzeit
- C++
- APIs
- Elektrotechnik
Direkt bewerben

Ich möchte aktuelle Job-E-Mails für Stellen als lead platform engineer in moosinning erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

lead platform engineer jobs near moosinning

R&D Engineer – AI Integration (m/f/d)

Advantest -
München

Jetzt bewerben

Details zur Stelle

Qualifikationen

Azure
Informatik
PyTorch
NumPy
Datenanalyse
Git
Java
Master
Pandas
AWS
C++
Docker
Bachelor
Machine Learning
Computerlinguistik
Linux
Eclipse
Elektrotechnik
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

Role Overview:

As an R&D Engineer, you will work on cutting-edge AI and machine learning solutions, with a focus on Large Language Models (LLMs), to enhance semiconductor testing and electrotechnical systems. You will design, implement, and optimize end-to-end AI pipelines, integrating LLM-driven tools into testing workflows and contributing to the development of advanced semiconductor test automation.

Key Responsibilities:

Design, implement, test, and continuously optimize end-to-end RAG (retrieval-augmented generation) pipelines, including data parsing, ingestion, prompt engineering, and chunking strategies
Integrate AI components with existing systems, requiring experience in Java and familiarity with Eclipse
Curate and develop high-quality datasets, including synthetic data generation for robust training and evaluation of LLMs
Preprocess datasets, fine-tune open-source LLMs (e.g., LLaMA, Mistral), and integrate RAG systems into semiconductor testing pipelines
Rigorously evaluate LLM applications on correctness, latency, and hallucination metrics
Assist in deploying LLM-based applications, analyze user feedback, and contribute to iterative improvements
Write clean, maintainable, and testable code following software engineering best practices
Collaborate with cross-functional agile teams to translate customer requirements into prototype solutions, with opportunities to lead smaller sub-projects
Analyze semiconductor testing data (parametric measurements, yield logs) using statistical methods and visualization tools
Contribute to MLOps workflows for model training, evaluation, and deployment using Python frameworks (PyTorch, Hugging Face) and cloud platforms (AWS/Azure)
Integrate AI components with existing systems, requiring experience in Java, C++ and familiarity with Eclipse
Work in Linux environments and handle command-line tools, scripting, and system operations

Requirements:

University degree in Data Science, Computer Science, Electrical Engineering, or a related field (Master's preferred, Bachelor's with 5+ years' experience accepted)
Experience with Advantest V93000 test systems / SmarTest 8
Experience in Eclipse Plugin development
2-4 years of hands-on experience in machine learning, including coursework or practical work with NLP or LLMs
Proficiency in Python for data analysis (Pandas, NumPy) and ML model development (scikit-learn, PyTorch)
Experience programming in Java and C++
Strong understanding of Linux, including command-line usage, system navigation, and scripting
Familiarity with LLM concepts: transformer architectures, prompt engineering, text generation techniques
Foundational knowledge of MLOps practices: version control (Git/DVC), containerization (Docker), and cloud deployment
Experience with Jupyter notebooks / VS Code
Strong communication skills in English; ability to document technical work clearly
Exposure to semiconductor testing data or industrial IoT datasets
Experience with RAG systems, LLM fine-tuning workflows (LoRA, QLoRA)
Familiarity with integrating AI components into existing test platform codebases
Elementary German proficiency

Jetzt bewerben

Erweiterte Suche

lead platform engineer Jobs in moosinning

R&D Engineer – AI Integration (m/f/d)

Staff Hardware Engineer (m/f/d) - Fernride GmbH

Embedded Software Engineer – Senior HMI Developer (m/f/d)

Principal Software Engineer

Principal Data Architect (m/f/d)

Senior / Staff Cloud Engineer (d/f/m)

Principal AI Software Engineer (m/f/x) — Industrial AI

(Senior) IT / System Administrator - Operations & Security (d/f/m)

Staff Software Engineer (d/m/f)

Product Manager - AI Platform (m/f/x)

HMID BU Marketing Manager

Senior Site Reliability Engineer (m/w/d)

Senior Manager, Solution Consulting - Moveworks

Staff AI Agent Engineer – Moveworks | Customer Deployment

AI / ML Lead Consultant (m/w/d)

Engineering Manger - Munich

Program Director - Professional Services - German Speaking

Customer Success Executive

Staff Engineer - Client Technology (m/f/x)

Working Student / Internship - Energy Systems & IoT Integration (d/f/m)

Ich möchte aktuelle Job-E-Mails für Stellen als lead platform engineer in moosinning erhalten

Related Searches

Weitere Job-Standorte erkunden

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt