Apertus Engineer: Infrastructure
ETH Zürich —Zürich, ZH
- 100%
- Télétravail
- Niveau Doctorat
- Recherche
- Niveau Master
8 h
Business Development Manager Dell Technologies ISG
Ingram Micro —Cham, ZG
- 100%
- Anglais
il y a 2 jours
Operations Engineer
Open Systems AG —Zürich, ZH
- 100%
- Travail hybride
- Gestion du personnel
- Esprit d'analyse
- Linux
Postuler rapidement
IT Administrator
grape insurance AG —Zürich, ZH
- Temps partiel
- Travail hybride
- Gestion du personnel
- Windows
- Gestion de projet
- Congé parental payé
Postuler rapidement
6 h
Rust Engineer - Trading Systems
Keyrock —Zoug, ZG
- 100%
- Télétravail
- Bar
- AWS
- Scripting
3 h
Rust Engineer - Trading Systems
Keyrock —Zürich, ZH
- 100%
- Télétravail
- Bar
- AWS
- Scripting
3 h
Apertus Engineer: Post-training
ETH Zürich —Zürich, ZH
- 100%
- Télétravail
- Niveau Doctorat
- Recherche
- Niveau Master
8 h
Rust Engineer - Trading Systems
Keyrock —Genève, GE
- 100%
- Télétravail
- Bar
- AWS
- Scripting
3 h
Head of entreprise architecture Difesa
Amministrazione federale - Dipartimento federale della difesa, della protezione della popolazione e dello sport DDPS —Ittigen, BE
- De 540 CHF à 17 932 CHF par an
- Anglais
- Niveau Licence
9 h

Related jobs to explore

Based on your search for software developer, ai networking

Python Developer (Automation & Integrations)
InvestGlass SA —Genève, GE
Develop, test, and maintain robust Python scripts and microservices for data processing, ETL pipelines, and system automation.
Appway Developer
Rec2Tech Ltd —Vaduz, LI
Collaborate with cross-functional teams to gather requirements and ensure solutions meet business needs. Bachelor's degree in Computer Science, Information…
80 CHF de l’heure
Postuler rapidement

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : software developer, ai networking

En vous connectant à votre compte, vous acceptez les Conditions d'utilisation de SimplyHired et consentez à notre Politique relative aux cookies et Politique de confidentialité.

Apertus Engineer: Infrastructure

ETH Zürich -
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

100%
Il y a 8 heures

Qualifications

CI/CD
Niveau Doctorat
Multilingue
Recherche
Niveau Master
Docker
Niveau Licence
GitHub
Linux
ARM
Compétences en communication
Debugging

Description complète du poste

Apertus Engineer: Infrastructure

100%, Zurich, fixed-term

We are seeking a skilled infrastructure engineer to join the Apertus team. The ideal candidate will own the container image stack behind our pre-training, post-training, and serving workloads, and collaborate with CSCS engineers to keep large-scale training on Alps stable and fast. 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 Apertus project, a joint effort between EPFL, ETH Zürich, and CSCS, is seeking a practical and motivated infrastructure engineer to help build the next version of Apertus. The successful candidate will own the container image stack and work closely with CSCS to keep large-scale training stable and fast.

We train open foundation models with hundreds of billions of parameters on thousands of GPUs on one of the largest AI-ready supercomputers in Europe. The team counts more than a dozen full-time engineers working alongside leading researchers from EPFL and ETH Zürich, has released the Apertus 1 and Apertus 1.5 models, and works with over thirty academic collaborators to deliver fully open (open source), responsibly trained, multilingual, multimodal AI models for research and industry.

Apertus is trained and developed on Alps, the Swiss National Supercomputing Centre's (CSCS) supercomputing infrastructure. The role requires someone who is comfortable working in an HPC environment and collaborating with researchers and infrastructure engineers.

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

Build, maintain, and upgrade container images for all core ML development phases: pre-training, post-training/alignment, and model serving/deployment
Target the ARM-based (aarch64, Grace-Hopper) node architecture of Alps, managing the full dependency stack (CUDA, NCCL, PyTorch, training and serving frameworks)
Keep image builds reproducible, versioned, and documented, including CI for builds and upgrades
Validate images against reference pre-training and post-training workloads together with Apertus engineers, and maintain working launch examples

Compute partnership and efficiency

Serve as the primary technical point of contact with CSCS engineers and researchers regarding compute, reliability, and efficiency
Work collaboratively with CSCS staff to identify and implement improvements in the efficiency and performance of the underlying compute infrastructure, overlapping with ML systems performance engineering
Contribute to systemic improvements in CSCS-based resources (network, storage, scheduling) relevant to large-scale LLM training
Document and disseminate institutional knowledge about the CSCS infrastructure and best practices for leveraging these high-performance systems

Infrastructure stress testing

Stress test the infrastructure using representative pre-training and post-training workloads, building on the project's existing recipes and examples, to validate stability and throughput after image upgrades, system maintenance, and configuration changes
Work closely with Apertus pre-training and post-training engineers to debug cluster-level problems affecting stability and throughput: node failures, networking, storage performance, checkpointing, and scheduling
Support the Apertus serving stack, which builds on the same images (operation of the serving stack is owned by a separate engineer)

Profile

Essential

MSc or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field
Exceptional BSc candidates with strong engineering experience will also be considered
Hands-on experience with HPC environments: job schedulers such as Slurm, shared filesystems, and multi-node GPU systems
Strong Linux systems and container skills (Docker/Podman and HPC runtimes such as enroot or Apptainer)
Strong collaboration and communication skills and ability to work across research, engineering, and operations teams
Prior hands-on experience in the core domains of this role is required
This can be project or study based experience; formal work experience is preferred
A high degree of flexibility: priorities, tools, and day-to-day tasks shift with training schedules, releases, and a fast-moving field

Strongly preferred

Familiarity with LLM training and serving frameworks such as Megatron-LM, PyTorch distributed, vLLM, or SGLang
Experience building or adapting containers for ARM64/aarch64 platforms
Familiarity with HPC networking and communication stacks: Slingshot, libfabric, NCCL and its debugging
Experience with parallel filesystems (e.g. Lustre) and storage performance tuning
Experience setting up CI/CD pipelines for container image builds

Nice to have

Published research in the domains relevant to this role, or familiarity with recently published research on these topics
Experience profiling distributed GPU workloads (Nsight, DCGM, communication benchmarks) and translating findings into infrastructure improvements
Experience with Grace-Hopper (GH200) or other tightly coupled CPU-GPU architectures
Contributions to open-source infrastructure or ML tooling

Workplace

We offer

A stimulating academic environment at one of the world's leading technical universities
Access to Alps, one of the largest AI-ready supercomputers in Europe
The opportunity to work alongside and intersect with leading researchers in the field
Collaboration with top researchers and engineers from EPFL, ETH Zürich, CSCS, and other Swiss institutions
Attractive employment conditions and comprehensive benefits, including the ETH Zürich/EPFL pension plans
Flexible working arrangements, including options for remote work
Professional development opportunities, including conference attendance and specialised training
The chance to contribute to open-source projects with global impact
Being part of Switzerland's sovereign AI development, working on technology with national significance
The role can be based either in Lausanne at EPFL or in Zürich at ETH Zürich

We value diversity and sustainability

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future.

Curious? So are we.

We look forward to receiving your online application with the following documents:

CV/Resume
Cover letter explaining your interest and qualifications
Academic transcripts
Contact information for 2-3 references
Links to GitHub repositories or other examples of your programming work (if available)

Further information about the ETH AI Center and the Swiss AI Initiative can be found on our website. Questions regarding the position should be directed to Dr. Imanol Schlag, email [email protected] (no applications).

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

For recruitment services the GTC of ETH Zurich apply.

Soumettre votre candidature

Affinez votre recherche

software developer, ai networking emplois

Apertus Engineer: Infrastructure

Business Development Manager Dell Technologies ISG

Operations Engineer

IT Administrator

Rust Engineer - Trading Systems

Rust Engineer - Trading Systems

Apertus Engineer: Post-training

Rust Engineer - Trading Systems

Head of entreprise architecture Difesa

Related jobs to explore

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : software developer, ai networking

Related Searches

Apertus Engineer: Infrastructure

100%, Zurich, fixed-term

Project background

Job description

Profile

Workplace

Workplace

We offer

We value diversity and sustainability

Curious? So are we.

Outils pour les chercheurs d'emploi

Outils Employeurs

Parcourir

Garder le contact