UNIX Expert for AI/ML GPU-Cluster - Part Time (20 hours) (f/m/d)

NXP Semiconductors; München; Vor Ort; EUR 40.000 - 60.000; Teilzeit

Zusammenfassung

Join a leading semiconductor company as a part-time Unix expert in the AI Competence Center. Contribute to the maintenance and enhancement of a GPU-cluster for high-performance computing. Collaborate with IT and AI/ML experts to ensure stability and reliability.

Qualifikationen

• Extensive experience with UNIX systems and scripting.
• Profound knowledge in AI deployment and GPU management.

Aufgaben

• Maintain a reliable, secure high-performance computing cluster.
• Develop and deploy solutions to enhance cluster usability.

Kenntnisse

UNIX systems

Python

Bash

network management

AI deployment

GPU management

Docker

Kubernetes

Tools

Slurm

Grafana

Jobbeschreibung

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 experts in enabling real-world applications and to gain experience developing innovative ideas and improving systems? 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 to realize a reliable, maintainable, and secure high-performance computing cluster. Develop and deploy new solutions to enhance the usability of the cluster system through automation and scripting. Collaborate closely with the local IT team and our AI/ML experts – the users of the high-performance cluster. With your motivation and ideas, you will contribute to providing a reliable setup and further develop your skills and those of the team.

Preferred skills:

• Extensive 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, and process management software
• Experience with setup and management of distributed resource management and job scheduling systems (e.g., Slurm)
• Profound knowledge in AI deployment and GPU management, including GPU driver and CUDA kernel management
• Hands-on experience with server setup
• Preferably some experience with setting up and managing on-premises GUI monitoring dashboards (e.g., Grafana)

Your Profile:

• Ability to work independently and accurately
• Strong critical and analytical thinking skills
• Good English communication skills for interaction with our multinational team across multiple sites
• Motivated to challenge the future of high-performance processing

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