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

The GWDG is seeking an

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

to join an interdisciplinary team of HPC experts in the working group “Computing” (AG C), full-time (39 hours perweek), remunerated in accordance with TVöD E 13. The position is tied to the GWDG QC project’s runtime running tillOctober 2029. The successful candidate is expected to contribute in developing GWDG’s QC ecosystem (seeresponsibilities listed below). The GWDG handles sensitive data, and in such cases, it is important that the code ishuman-verified for any security concerns. The applicant must demonstrate the ability to do such a verification withoutAI assistance in the interview.

The Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG) is the university computing centerfor the Georg-August-Universität Göttingen and a computing and IT competence center for the Max Planck Society.The provision of high-performance HPC systems has been one of its tasks for over 40 years. In 2020, the Universityof Göttingen / GWDG was accepted as one of eight computing centers (NHR-Nord@Göttingen) in the National High-Performance Computing (NHR) network. The GWDG also operates the national AI service center KISSKI and is apartner in the EU AI Factory HammerHAI. Furthermore, the GWDG operates HPC resources for the GermanAerospace Center (DLR). As a national supercomputing center, the GWDG provides technical support to researchersand students from various scientific domains, including digital humanities, life science, earth system science, andengineering. We also participate in both national and international research projects. In the field of quantumcomputing, the GWDG also runs the QUICS project, providing SMEs with access to quantum computing resources.

We are looking for highly motivated candidates to join the QC team at the GWDG focused on anomaly detection forindustry applications. The goal is to build a platform for such use cases based on existing stacks, giving companies atool for quantum anomaly detection.

The GWDG together with the Faculty of Mathematics and Computer Science and the Campus Institute Data Science(CIDAS) of the University of Göttingen provides a stimulating research environment in Scientific Computing, with anopportunity to conduct research in the intersection of applied computer science, High-Performance Computing,Quantum Computing, and AI.

Responsibilities

Focus:

Connecting quantum workloads to GWDG’s existing HPC infrastructure. Requires a deep understanding ofboth classical HPC architectures and the specific characteristics of quantum jobs. The developer will takeresponsibility 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 demonstrableindustry 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 withcompiler/transpiler pipelines

Excellent teamwork and communication skills

Fluent English (spoken and written)

Do you fit

all

the above requirements? Then we welcome your application!

Desirable

Demonstrable experience tuning SLURM (partitioning, QoS, job prioritization policies) in a production HPCenvironment

Experience benchmarking and profiling hybrid classical/quantum or GPU workloads

Experience enabling optimal, resource-efficient operation of hybrid classical/quantum workloads

Familiarity with monitoring and observability tooling for HPC systems (e.g., Prometheus, Grafana)

Background in systems administration or DevOps for research computing infrastructure

German B2 or higher

Our offer

Flexible working hours and opportunity for partial mobile working

A modern, diverse work environment at the intersection between academia and industry

An interesting, versatile job in a large, internationally operating IT competence center

Qualification and further development of your skills

Social benefits of the public sector

Your application

Have we sparked your interest? Then please send us your application by 30.09.2026

via our online form: