Are you inspired by machine learning, data, AI, high performance computing, and are you ready for a new step by maintaining the high-performance computing farm for AI training? Do you want to contribute to enabling stability and reliability of a GPU-cluster to support the experts in enabling real world applications and to gain experience developing innovative ideas and improving the system? Then you will want to be a part of the growing Artificial Intelligence Competence Center at NXP, a leading semiconductor company.

Responsibilities:

At the AI Competence Center, we are looking for a part-time (20h/w basis) Unix expert passionate about GPU-clusters and high-performance computing. Leverage your creativity for realizing a reliable, maintainable, and secure high-performance computing cluster. Developing and deploying new solutions to enhance the usability of the cluster system with automation and scripting. Close collaboration with the local IT-team and our AI/ML experts – the users of the high-performance cluster. With your motivation and ideas, you contribute to providing a reliable setup, and you develop yourself and the team skills further.

Preferred skills:

• Very strong experience with UNIX systems and scripting using python, or bash

• Experience in network management, including DHCP, DNS, LDAP, Active Directory, SSSD, etc.

• Experience with network attached storage systems

• Experience with docker, Kubernetes, process management software

• Experience with the setup and management of distributed resource management and job scheduling systems (e.g., Slurm or others)

• Profound knowledge in AI-deployment and GPU-management including GPU-driver, CUDA-kernel management.

• Hands on experience with setup up servers

• Preferably some experience with setting up and managing some on-premises GUI monitoring dashboards (e.g., Grafana or others)

Your Profile:

• Capability to work independently and accurately

• Strong critical and analytical thinking

• Good English communication skills for interaction with our multinational team across multiple sites

• Looking for challenging the future of high-performance processing