Linux Infrastructure Engineer
Neura Robotics
Linux Infrastructure Engineer
Neura Robotics
Cognitive robots with perception, manipulation, collaboration
The neuragym is Neura's dedicated robot training facility, where humanoid and other robots are trained. You will be part of a three-person on-site IT team, working closely with the central IT team at Neura group headquarters. Your focus: keeping the Linux infrastructure stable and ensuring training data flows reliably from the training cells to the cloud.
Administration and lifecycle management of the virtual Linux server fleet: provisioning, patching, hardening
Configuration management and automation with Ansible, shell, and Python
Operation and monitoring of the data pipeline from training cell capture through the Nutanix HCI platform to cloud upload
Monitoring system performance and infrastructure health; proactively identifying and resolving anomalies
Close collaboration with the HQ IT team and Nutanix vendor support on platform topics
Supporting developers with the integration of IT infrastructure into robotics and data products
Linux client support for on-site developers and engineers
Maintaining operational documentation and runbooks
Degree in an IT-related field or completed IT apprenticeship, in both cases with at least 3 years of relevant professional experience
Extensive experience in Linux system administration (Ubuntu/Debian preferred)
Proficiency with Ansible and scripting languages (Python, shell)
Experience with virtualised infrastructure and HCI platforms (Nutanix AHV or equivalent)
Basic knowledge of Windows system administration
Understanding of storage and networking concepts in high-throughput environments
Independent, structured working style
Fluent English, spoken and written (B2+)
LPIC-1 or comparable Linux certification desirable
Cognitive robots with perception, manipulation, collaboration
Neura Robotics builds cognitive robots for industrial and service settings, combining perception, manipulation, and human collaboration. It develops both the hardware and the software stack for Physical AI, creating robot platforms like MAiRA, MAV, LARA and MiPA along with training infrastructure. The system works by integrating sensing, decision-making, and manipulation capabilities on a hardware-software stack that can be deployed in large-scale production, with the company planning robots fleets and NEURA Gyms for ongoing training and improvement. What sets Neura Robotics apart is its end-to-end approach to Physical AI, including a focus on mass production, an established global deployment plan, and a broad ecosystem of strategic backers and partners that support scaling and international expansion. The goal is to enable worldwide deployment of its robot platforms and associated training infrastructure, turning physical AI into widely available industrial and service automation.
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