Compute Infrastructure Engineer (AI/Robotics)

Location: On-site in Metzingen / Riederich, Germany

Company

hirify.global develops AI-powered robotics systems and infrastructure for embodied AI.

What you will do

• Plan and design server infrastructure, including compute, GPU, storage, networking, rack layout, power, cooling, hardware selection, and procurement.
• Build and operate virtualization environments with platforms such as Proxmox, KVM, or VMware.
• Design and operate Kubernetes clusters for data preprocessing, including GPU scheduling, monitoring, and logging.
• Distribute compute- and data-intensive workloads across robot edge devices, local servers, and central storage systems.
• Build network, storage, streaming ingest, and data-versioning pipelines for multimodal robot data and model training.
• Automate provisioning, deployment, operations, backup, recovery, and access management with infrastructure-as-code and CI/CD tooling.

Requirements

• Degree in computer science, systems engineering, engineering, or a related field, or comparable vocational training with relevant practical experience.
• 4+ years of experience in system administration, infrastructure engineering, DevOps, or platform engineering.
• Strong experience with server infrastructure planning and operations, virtualization, storage integration, and network integration.
• Strong knowledge of Docker, Kubernetes, or comparable container platforms, ideally including GPU workloads.
• Experience with distributed systems, Linux, shell scripting, and Python or Bash.
• Experience with infrastructure-as-code and automation tools such as Ansible or Terraform, plus CI/CD tooling such as GitLab CI; a structured, self-driven working style is required.

Nice to have

• Experience with monitoring and logging stacks such as Prometheus and Grafana.

Culture & Benefits

• Work alongside an interdisciplinary team building infrastructure from the ground up.
• Contribute to scalable and maintainable systems for high-quality embodied AI.