Senior Scientific Software Engineer - HPC (all genders, full-/part-time)

IT-Systemhaus der Bundesagentur für Arbeit; Darmstadt; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading technology firm is looking for a Senior Scientific Software Engineer to design and operate software platforms for high-performance computing and AI workloads. The ideal candidate will have a degree in STEM, substantial experience in software engineering, and proficiency in Python and TypeScript. Responsibilities include developing self-service platforms, implementing DevOps practices, and collaborating with scientific engineers. This role offers a chance to impact science and technology innovation in a diverse team environment.

Qualifikationen

• 3+ years of experience in building and operating production software/platforms.
• Proven capability in Git-based workflows, automated testing, CI/CD.
• Experience with AI/ML infrastructure and operating on Linux-based clusters.

Aufgaben

• Design and operate software and platforms for high-performance workloads.
• Implement Infrastructure as Code for hybrid HPC and AWS environments.
• Partner with engineers to productionise workflows and provide documentation.

Kenntnisse

Python

TypeScript

DevOps

AWS

Linux

Ausbildung

Degree in STEM or Software Engineering

Tools

Git

Terraform

Slurm

Kubernetes

Jobbeschreibung

Senior Scientific Software Engineer - HPC (all genders, full-/part-time)

Work Your Magic with us! Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

Your Role

Design, build, and operate the software and platforms that power our high‑performance and AI workloads. You will own core services, developer tooling, and workflow orchestration that enable researchers and scientific application engineers to deliver faster, more reliable results across on‑prem and cloud high‑performance compute infrastructure.

Scientific Computing sits within the Data & AI Products organization. We lead oneHPC, the modernization of our compute stack. The team operates an integrated on‑prem + cloud platform used for simulation, data‑driven research, and advanced machine learning.

Key Responsibilities

• Own the self‑service platform (FastAPI/Step Functions backend, React portal, and CLI workflows) to let researchers self‑onboard, manage projects, and leverage LDAP/Slurm/VAST integrations.
• Implement Infrastructure as Code and configuration management for hybrid HPC + AWS environments.
• Engineer container strategies for CPU/GPU workloads, including base images, CUDA/NCCL stacks, and reproducible builds.
• Extend internal services, APIs, and SDKs (Python/TypeScript) that provide standardized access to HPC schedulers, data stores, and AI/GPU resources.
• Design and implement CI/CD pipelines, artifact/version management, and automated testing for scientific software and internal tools.
• Model and operate data backends: SQL and NoSQL, including schema design and migrations.
• Ensure transparency, monitoring, and performance insights for platform services and batch workloads (Prometheus/Grafana, structured logging, alerting, SLOs).
• Partner with Scientific Applications Engineers and domain scientists to productionise ML/AI and simulation workflows; provide code reviews and documentation.
• Help set up training sessions, workshops, and onboarding material to assist users to effectively utilise the HPC and cloud resources.

Qualifications

• Degree in STEM, Software Engineering, or related field; equivalent practical experience accepted.
• 3+ years building and operating production software/platforms; strong software engineering fundamentals and code quality practices.
• 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.

Preferred Qualifications

• 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+).

What we offer

We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!