Apertus Engineer: Infrastructure — ETH Zürich
NewCHF 73'500 - 111'500
ETH Zürich · Zurich (ZH)
- Location
- Zurich
- Contract
- fixed-term
- Posted
- 2 days ago
SalaryCHF 73'500 - 111'500
Role overview
Apertus Engineer: Infrastructure
100%, Zurich, fixed-term print Drucken
We are seeking a skilled infrastructure engineer to join the Apertus team.
- Apertus Engineer: Infrastructure
- 100%, Zurich, fixed-term print Drucken
Additional details
- 100%, Zurich, fixed-term
- This role requires strong Linux and container skills, experience with HPC environments, and the ability to work collaboratively across research, engineering, and operations teams. Project background
- The role requires someone who is comfortable working in an HPC environment and collaborating with researchers and infrastructure engineers.
- The engineer will enable stability and throughput for the Apertus pre-training and post-training pipelines by maintaining the ML system images and partnering with CSCS on the underlying infrastructure. ML system image maintenance
- Validate images against reference pre-training and post-training workloads together with Apertus engineers, and maintain working launch examples Compute partnership and efficiency
- Document and disseminate institutional knowledge about the CSCS infrastructure and best practices for leveraging these high-performance systems Infrastructure stress testing
- Support the Apertus serving stack, which builds on the same images (operation of the serving stack is owned by a separate engineer)
- Exceptional BSc candidates with strong engineering experience will also be considered Hands-on experience with HPC enviro
Notes and original content
- This role requires strong Linux and container skills, experience with HPC environments, and the ability to work collaboratively across research, engineering, and operations teams.
- Project background
- Job description
- The engineer will enable stability and throughput for the Apertus pre-training and post-training pipelines by maintaining the ML system images and partnering with CSCS on the underlying infrastructure.
- ML system image maintenance
- Validate images against reference pre-training and post-training workloads together with Apertus engineers, and maintain working launch examples
- Compute partnership and efficiency
- Document and disseminate institutional knowledge about the CSCS infrastructure and best practices for leveraging these high-performance systems
- Infrastructure stress testing
- Exceptional BSc candidates with strong engineering experience will also be considered
