HPC Systems & Scheduling Developer (m/f/d) (IT-Fachwirt/in)
Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen · Göttingen, Germany ·
- Employment
- Full time
Job posting no. 20260820
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 per week), remunerated in accordance with TVöD E 13. The position is tied to the GWDG QC project’s runtime running till October 2029. The successful candidate is expected to contribute in developing GWDG’s QC ecosystem (see responsibilities listed below). The GWDG handles sensitive data, and in such cases, it is important that the code is human-verified for any security concerns. The applicant must demonstrate the ability to do such a verification without AI assistance in the interview.
The Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG) is the university computing center for 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 University of 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 a partner in the EU AI Factory HammerHAI. Furthermore, the GWDG operates HPC resources for the German Aerospace Center (DLR). As a national supercomputing center, the GWDG provides technical support to researchers and students from various scientific domains, including digital humanities, life science, earth system science, and engineering. We also participate in both national and international research projects. In the field of quantum computing, 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 for industry applications. The goal is to build a platform for such use cases based on existing stacks, giving companies a tool 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 an opportunity 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 of both classical HPC architectures and the specific characteristics of quantum jobs. 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? Then we welcome your application!
Desirable
- Demonstrable experience tuning SLURM (partitioning, QoS, job prioritization policies) in a production HPC environment
- 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:
The GWDG strives for gender equity and diversity and therefore welcomes applications from any background. The GWDG strives to employ more severely disabled people. Applications from severely disabled persons are expressly encouraged.
If you have any questions about the advertised position, please contact Dr. Jan Cillié Louw (e-mail: [email protected]).
Homeoffice:
Umfang: Nach Vereinbarung
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 per week), remunerated in accordance with TVöD E 13. The position is tied to the GWDG QC project’s runtime running till October 2029. The successful candidate is expected to contribute in developing GWDG’s QC ecosystem (see responsibilities listed below). The GWDG handles sensitive data, and in such cases, it is important that the code is human-verified for any security concerns. The applicant must demonstrate the ability to do such a verification without AI assistance in the interview.
The Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG) is the university computing center for 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 University of 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 a partner in the EU AI Factory HammerHAI. Furthermore, the GWDG operates HPC resources for the German Aerospace Center (DLR). As a national supercomputing center, the GWDG provides technical support to researchers and students from various scientific domains, including digital humanities, life science, earth system science, and engineering. We also participate in both national and international research projects. In the field of quantum computing, 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 for industry applications. The goal is to build a platform for such use cases based on existing stacks, giving companies a tool 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 an opportunity 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 of both classical HPC architectures and the specific characteristics of quantum jobs. 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? Then we welcome your application!
Desirable
- Demonstrable experience tuning SLURM (partitioning, QoS, job prioritization policies) in a production HPC environment
- 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:
The GWDG strives for gender equity and diversity and therefore welcomes applications from any background. The GWDG strives to employ more severely disabled people. Applications from severely disabled persons are expressly encouraged.
If you have any questions about the advertised position, please contact Dr. Jan Cillié Louw (e-mail: [email protected]).
Homeoffice:
Umfang: Nach Vereinbarung