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Machine Learning Systems Engineer in charge of GPU Infrastructure 50 - 100% (m/f/d)
Zürcher Hochschule für Angewandte Wissenschaften (ZHAW)
You plan and operate our growing critical GPU computing infrastructure and act as interface to researchers and IT (<=50%). Additional
tasks lie in an ML engineer role within our research projects.
Machine Learning Systems Engineer in charge of GPU
Infrastructure 50 - 100%
Being the go-to person at the CAI for all aspects of our mission-critical on-premise or cloud-based GPU infrastructure (see
below) in a highly dynamic environment that currently includes planning, procurement, building, and operations; in the future,
lower-level tasks might be handled by central IT
Collaborating with the head of the CAI demo team (who oversees other CAI infrastructure) and interfacing with the researchers
and students to continually adapt the GPU infrastructure to user needs, provide training and best practices, etc.
Examples of existing compute infrastructure (on-premise): 4 NVIDIA DGX servers; a virtualization environment with GPUs and
Ceph storage; cluster management with Slurm and Docker
We are looking for a pragmatic person with a strong drive to build things that work and are appealing to use; we expect a
strong background in scientific computing, machine learning / deep learning, and programming, with a master's or PhD degree
in computer science or a comparable background
You have proven competencies in the areas of ML engineering (e.g., scikit-learn, PyTorch, CUDA, Kubernetes, MLOps, i.e.,
development, operation, and maintenance of ML models and pipelines) and server administration (Linux, storage organization,
hardware setup for ML). Experience with cloud-based GPU computing providers is a plus.
Your curiosity makes you maintain an overview on the current state of knowledge in applied AI and related technology, to be
considered for additional tasks in research, you have a strong AI-related research track record (e.g., proven by publications),
ideally related to computer vision and MLOps.
Fluency in English and ideally German as well as the capacity to interact on equal footing with management, researchers and
students is important; you work independently, manage projects in autonomy, enjoy cooperation in interdisciplinary teams, and
have an accurate, result-oriented working style.
In return, we offer a position on the level of a research associate, initially limited to 2 years, in which you ideally just live out
your hobby (playing with latest technology), freedom and development opportunities (for example in the direction of research,
project management or an expert role for MLOps), as well as a high degree of flexibility with respect to working times and places
(up to 50% homeoffice)
Do you have any other questions?
For more information regarding the vacancy, please contact Thilo Stadelmann, Zentrumsleitung Centre for Artificial Intelligence.
Phone, e-mail: email@example.com
Are you interested?
If you would like to apply, please use the online platform to send us your portfolio, Attn. Tanja Schmid, at firstname.lastname@example.org.
For further information on ZHAW or our Institute, go to: www.zhaw.ch/jobs