SU
SUSONITY
4 Tage

Senior Scientific Software Engineer - HPC(m/w/x)

Vollzeit/Teilzeit
Senior
AI/ML Job
Keine Angabe
Darmstadt

In this role, you will design and build software that enhances high-performance computing and AI workloads, enabling researchers to efficiently manage projects and access resources. Your work will involve developing self-service platforms, implementing infrastructure strategies, and collaborating with scientists to optimize workflows.

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Anforderungen

  • Degree in STEM, Software Engineering, or related field, or equivalent practical experience
  • 3+ years building and operating production software/platforms
  • Expert in Python; proficient in TypeScript
  • Proven DevOps capability: Git‑based workflows, automated testing, CI/CD (GitHub Actions), container registries, package publishing
  • AWS proficiency: EC2/EKS/Batch, S3/EFS/FSx for Lustre, VPC/IAM, CloudWatch; infrastructure as code with Terraform or CloudFormation
  • Proficient in working on Linux-based clusters
  • Experience integrating with HPC schedulers (Slurm) and/or Kubernetes for batch/ML workloads
  • Experience with AI/ML infrastructure: GPU cluster operations, model training at scale (PyTorch/TensorFlow), experiment tracking (MLflow), model serving and artifact storage
  • Data movement at scale for science: object storage strategies, parallel filesystems, data transfer tooling (e.g., Globus), checksum/lineage practices
  • Exposure to scientific domains or packages (e.g., ORCA, VASP, GROMACS, LAMMPS, AlphaFold, RFDiffusion, EDEM, STAR‑CCM+)
Bachelor-Abschluss

Berufserfahrung

3 Jahre

Deine Aufgaben

  • Design and build software for high-performance and AI workloads
  • Operate core services and developer tooling for researchers
  • Manage workflow orchestration for scientific applications
  • Own the self-service platform for researcher onboarding
  • Implement Infrastructure as Code for hybrid HPC and AWS environments
  • Engineer container strategies for CPU and GPU workloads
  • Extend internal services, APIs, and SDKs for HPC access
  • Design and implement CI/CD pipelines for scientific software
  • Model and operate SQL and NoSQL data backends
  • Ensure monitoring and performance insights for platform services
  • Partner with engineers and scientists to productionize ML/AI workflows
  • Provide code reviews and documentation for projects
  • Set up training sessions and onboarding materials for users

Tools & Technologien

PythonTypeScriptGitHub ActionsTerraformCloudFormationAWSSlurmKubernetesPyTorchTensorFlowMLflowGlobus

Sprachen

Englischverhandlungssicher

Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens SUSONITY erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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