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Python - Job Kleinanzeigen in Landkreis Göttingen Python

  • HPC-Leistungs- und Datenmanagement-Ingenieur*in (m/w/d) - Göttingen2
    Heute, 04:35
    Partner-Anzeige

    HPC-Leistungs- und Datenmanagement-Ingenieur*in (m/w/d)

    Zu Ihren Aufgaben in unserem Team könnten beispielsweise gehören: Unterstützung von Nutzenden bei der Entwicklung von HPC-fähiger Forschungssoftware Beratung von Nutzenden bei der Entwicklung von HPC-fähiger Forschungssoftware Unterstützung beim Einsatz von KI-Tools bei der Entwicklung von HPC-fähiger Forschungssoftware Bereitstellung und Dokumentation von Tools zur Leistungsanalyse Beratung von Wissenschaftler*innen bei der Analyse und Verbesserung der Leistung ihrer Software Schulungen zur Entwicklung leistungsfähiger HPC-fähiger Forschungssoftware Beratung von Nutzenden beim Management großer Datenmengen Unterstützung von Nutzenden beim Onboarding Weiterentwicklung der bestehenden Dienste der GWDG für die sichere Ausführung im Hochleistungsrechnen SecureHPC und Trusted Research Environment (TRE/SPE) für Wissenschaftler*innen Entwicklung von Software im Bereich Forschung (Research Software Engineering) Entwicklung datenzentrierter Workflows für HPC-Systeme Anforderungen Erfolgreich abgeschlossener Masterabschluss in Informatik oder verwandten Fachbereichen Sehr gute Programmierkenntnisse in Python und mindestens einer Low-Level-Programmiersprache wie C oder Fortran Erfahrung in der agilen Softwareentwicklung Sehr gute Kenntnisse im Bereich Parallelisierung, insbesondere unter Verwendung von MPI und OpenMP Umfangreiche Erfahrung im Einsatz von Leistungsanalyse-Tools auf HPC-Systemen Sehr gute Linux-Kenntnisse (z.
    37077 Göttingen
  • HPC-Leistungs- und Datenmanagement-Ingenieur*in (m/w/d) - Göttingen2
    Heute, 04:35
    Partner-Anzeige

    HPC-Leistungs- und Datenmanagement-Ingenieur*in (m/w/d)

    Zu Ihren Aufgaben in unserem Team könnten beispielsweise gehören: Unterstützung von Nutzenden bei der Entwicklung von HPC-fähiger Forschungssoftware Beratung von Nutzenden bei der Entwicklung von HPC-fähiger Forschungssoftware Unterstützung beim Einsatz von KI-Tools bei der Entwicklung von HPC-fähiger Forschungssoftware Bereitstellung und Dokumentation von Tools zur Leistungsanalyse Beratung von Wissenschaftler*innen bei der Analyse und Verbesserung der Leistung ihrer Software Schulungen zur Entwicklung leistungsfähiger HPC-fähiger Forschungssoftware Beratung von Nutzenden beim Management großer Datenmengen Unterstützung von Nutzenden beim Onboarding Weiterentwicklung der bestehenden Dienste der GWDG für die sichere Ausführung im Hochleistungsrechnen SecureHPC und Trusted Research Environment (TRE/SPE) für Wissenschaftler*innen Entwicklung von Software im Bereich Forschung (Research Software Engineering) Entwicklung datenzentrierter Workflows für HPC-Systeme Anforderungen Erfolgreich abgeschlossener Masterabschluss in Informatik oder verwandten Fachbereichen Sehr gute Programmierkenntnisse in Python und mindestens einer Low-Level-Programmiersprache wie C oder Fortran Erfahrung in der agilen Softwareentwicklung Sehr gute Kenntnisse im Bereich Parallelisierung, insbesondere unter Verwendung von MPI und OpenMP Umfangreiche Erfahrung im Einsatz von Leistungsanalyse-Tools auf HPC-Systemen Sehr gute Linux-Kenntnisse (z.
    37077 Göttingen
  • HPC Systems & Scheduling Developer (m/f/d) - Göttingen2
    Heute, 04:35
    Partner-Anzeige

    HPC Systems & Scheduling Developer (m/f/d)

    The developer will take responsibility for scheduler logic, including: SLURM partition mapping Optimization of SLURM execution for Quantum Computing Jobs Implement HPC transpilation pipelines and, more generally, workflows for HPC/AI pre- and post-processing Performance tuning of hybrid workloads Implementation of monitoring and benchmarking mechanisms Requirements PhD and/or Master’s degree in Computer Science, Physics, or a related field, combined with demonstrable industry or research experience Ability to code in Python Proven coding experience (without AI assistance): scope, functions, variables, classes, array methods, etc. Demonstrable expertise in optimizing HPC stacks for proper system implementation and tuning Experience building and operating software-based services, ensuring long-term maintainability Knowledge in QC (quantum computing) job characteristics and resource requirements, and familiarity with compiler/transpiler pipelines Excellent teamwork and communication skills Fluent English (spoken and written) Do you fit all the above requirements?
    37077 Göttingen
  • HPC Systems & Scheduling Developer (m/f/d) - Göttingen2
    Heute, 04:35
    Partner-Anzeige

    HPC Systems & Scheduling Developer (m/f/d)

    The developer will take responsibility for scheduler logic, including: SLURM partition mapping Optimization of SLURM execution for Quantum Computing Jobs Implement HPC transpilation pipelines and, more generally, workflows for HPC/AI pre- and post-processing Performance tuning of hybrid workloads Implementation of monitoring and benchmarking mechanisms Requirements PhD and/or Master’s degree in Computer Science, Physics, or a related field, combined with demonstrable industry or research experience Ability to code in Python Proven coding experience (without AI assistance): scope, functions, variables, classes, array methods, etc. Demonstrable expertise in optimizing HPC stacks for proper system implementation and tuning Experience building and operating software-based services, ensuring long-term maintainability Knowledge in QC (quantum computing) job characteristics and resource requirements, and familiarity with compiler/transpiler pipelines Excellent teamwork and communication skills Fluent English (spoken and written) Do you fit all the above requirements?
    37077 Göttingen
  • Generative AI Developer (m/f/d) - Göttingen2
    Heute, 04:35
    Partner-Anzeige

    Generative AI Developer (m/f/d)

    Your responsibilities in our team could include, for example: Design appropriate solutions to address customer use cases building upon our existing AI infrastructure Support for companies in the development of AI services Generating blueprints and whitepapers Document solutions for internal knowledge sharing and customer handover Representation at workshops and conferences Integration of novel AI solutions into our AI service portfolio Integration of novel AI solutions into the SAIA Platform (Scalable Artificial Intelligence (AI) Accelerator) Requirements Successfully completed master's degree in computer science or related fields Very good programming skills in a high-level programming language, primarily Python Very good Linux skills (e.g. Bash scripting, Git, containers) Good knowledge of software engineering (security, testing) Good knowledge of DevOps (e.g. Gitlab, CI/CD pipelines, automated testing, pytest) Good knowledge of databases (SQLModel, SQL, PostgreSQL, SQLite) Experience with web development (HTTP, FastAPI, HTML, JavaScript) Basics in generative AI (e.g.
    37077 Göttingen
  • Storage Expert (m/f/d) - Göttingen2
    Heute, 04:35
    Partner-Anzeige

    Storage Expert (m/f/d)

    Your responsibilities in our team could include, for example: Design, implement, and optimize high-performance storage solutions tailored for AI and HPC workloads Conduct research on scalable, cost-effective storage architectures suitable for AI training and HPC simulations in resource-constrained environments Develop and deploy data management strategies for large-scale AI datasets, including data lifecycle management, versioning, backup, and security (e.g., GDPR-compliant data handling) Investigate and prototype AI-optimized storage systems leveraging technologies such as NVMe, SSD caching, and distributed storage (e.g., Ceph, MinIO, Lustre) Support SMEs in evaluating and selecting appropriate HPC and AI storage solutions Collaborate with data scientists and engineers to ensure storage systems meet the demands of AI model training, inference, and real-time processing Develop best practice guidelines and toolkits for SMEs to manage AI/HPC data efficiently and security Provide technical advisory and training to SME teams on data storage, performance monitoring, and data governance Monitor and benchmark storage performance, ensuring low latency, high throughput, and cost-efficiency for AI/HPC applications Requirements Master’s degree (or equivalent) in Computer Science, Electrical Engineering, Data Science, or a related field Experience in HPC systems, storage infrastructure, and AI data engineering Proven experience with high-performance storage technologies (e.g., Lustre, GPFS, Ceph, NFS, S3-compatible storage) Strong knowledge of AI/ML data pipelines, including data ingestion, preprocessing, and model training workflows Hands-on experience with containerization (Docker, Kubernetes) and orchestration tools in HPC/AI environments Familiarity with cloud storage platforms Experience in data lifecycle management, data versioning, and metadata management Solid understanding of data security, privacy (GDPR), and compliance in AI applications Excellent analytical and problem-solving skills Excellent communication skills and ability to translate technical concepts for non-technical stakeholders Very good German skills (C1) Very good English skills (C1) Willingness to travel on business Desirable Experience in research or innovation projects related to HPC, AI, or data infrastructure Knowledge of AI-driven storage optimization (e.g., predictive data placement, auto-tiering) Familiarity with open-source HPC/AI frameworks (e.g., Slurm, Singularity, MLflow, Kubeflow) Proficiency in scripting languages (Python, Bash) and system administration (Linux/UNIX) Our offer Flexible working hours and opportunity for mobile working A modern, diverse, and exceptional work environment with close proximity to academia...
    37077 Göttingen
  • Generative AI Developer (m/f/d) - Göttingen2
    Heute, 04:35
    Partner-Anzeige

    Generative AI Developer (m/f/d)

    Your responsibilities in our team could include, for example: Design appropriate solutions to address customer use cases building upon our existing AI infrastructure Support for companies in the development of AI services Generating blueprints and whitepapers Document solutions for internal knowledge sharing and customer handover Representation at workshops and conferences Integration of novel AI solutions into our AI service portfolio Integration of novel AI solutions into the SAIA Platform (Scalable Artificial Intelligence (AI) Accelerator) Requirements Successfully completed master's degree in computer science or related fields Very good programming skills in a high-level programming language, primarily Python Very good Linux skills (e.g. Bash scripting, Git, containers) Good knowledge of software engineering (security, testing) Good knowledge of DevOps (e.g. Gitlab, CI/CD pipelines, automated testing, pytest) Good knowledge of databases (SQLModel, SQL, PostgreSQL, SQLite) Experience with web development (HTTP, FastAPI, HTML, JavaScript) Basics in generative AI (e.g.
    37077 Göttingen
  • Storage Expert (m/f/d) - Göttingen2
    Heute, 04:35
    Partner-Anzeige

    Storage Expert (m/f/d)

    Your responsibilities in our team could include, for example: Design, implement, and optimize high-performance storage solutions tailored for AI and HPC workloads Conduct research on scalable, cost-effective storage architectures suitable for AI training and HPC simulations in resource-constrained environments Develop and deploy data management strategies for large-scale AI datasets, including data lifecycle management, versioning, backup, and security (e.g., GDPR-compliant data handling) Investigate and prototype AI-optimized storage systems leveraging technologies such as NVMe, SSD caching, and distributed storage (e.g., Ceph, MinIO, Lustre) Support SMEs in evaluating and selecting appropriate HPC and AI storage solutions Collaborate with data scientists and engineers to ensure storage systems meet the demands of AI model training, inference, and real-time processing Develop best practice guidelines and toolkits for SMEs to manage AI/HPC data efficiently and security Provide technical advisory and training to SME teams on data storage, performance monitoring, and data governance Monitor and benchmark storage performance, ensuring low latency, high throughput, and cost-efficiency for AI/HPC applications Requirements Master’s degree (or equivalent) in Computer Science, Electrical Engineering, Data Science, or a related field Experience in HPC systems, storage infrastructure, and AI data engineering Proven experience with high-performance storage technologies (e.g., Lustre, GPFS, Ceph, NFS, S3-compatible storage) Strong knowledge of AI/ML data pipelines, including data ingestion, preprocessing, and model training workflows Hands-on experience with containerization (Docker, Kubernetes) and orchestration tools in HPC/AI environments Familiarity with cloud storage platforms Experience in data lifecycle management, data versioning, and metadata management Solid understanding of data security, privacy (GDPR), and compliance in AI applications Excellent analytical and problem-solving skills Excellent communication skills and ability to translate technical concepts for non-technical stakeholders Very good German skills (C1) Very good English skills (C1) Willingness to travel on business Desirable Experience in research or innovation projects related to HPC, AI, or data infrastructure Knowledge of AI-driven storage optimization (e.g., predictive data placement, auto-tiering) Familiarity with open-source HPC/AI frameworks (e.g., Slurm, Singularity, MLflow, Kubeflow) Proficiency in scripting languages (Python, Bash) and system administration (Linux/UNIX) Our offer Flexible working hours and opportunity for mobile working A modern, diverse, and exceptional work environment with close proximity to academia...
    37077 Göttingen

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