Compute Infrastructure Engineer - NeuraGym (human)

Vsquared; Riederich; Remote; EUR 70,000 - 110,000; Full time

Job summary

Neura Robotics in Riederich seeks a Compute Infrastructure Engineer for the NeuraGym project. You will design, build and operate a scalable compute and storage landscape spanning edge devices to central storage, enabling reliable data processing for multimodal robot data.

The role covers server sizing and rack layouts, virtualization with Proxmox/KVM/VMware, Kubernetes with GPU scheduling, IaC and CI/CD, and secure network design.

Qualifications

• Education: Degree in computer science, systems engineering, or related field, or equivalent practical experience.
• Experience: 4+ years in system administration, infrastructure engineering, DevOps or platform engineering.
• Server infrastructure: planning, designing and operating server infrastructure (sizing, rack build-out, hardware selection, procurement).
• Virtualisation: hands-on with hypervisors and virtualization (Proxmox, KVM, VMware) including storage and network integration.
• Containers: knowledge of Docker, Kubernetes or similar with GPU workloads.
• Distributed systems: understanding distribution, synchronization and monitoring.
• Linux and scripting: proficient with Linux, shell scripting and at least one language (Python, Bash).
• IaC & CI/CD: experience with Ansible, Terraform and GitLab CI.
• Working style: structured, self-driven, collaborate with interdisciplinary team.

Responsibilities

• Plan and design the NeuraGym server infrastructure, including sizing of compute, GPU, storage and network, rack layout, power and cooling concept, and procurement.
• Build and operate virtualization environments based on hypervisors for development, testing and production.
• Design and operate Kubernetes clusters for data preprocessing workloads, including GPU scheduling, monitoring and logging.
• Distribute compute-and data-intensive processes across edge devices, local servers and central storage.
• Design the NeuraGym network infrastructure: VLANs, switching, bandwidth planning and secure integration with IT.
• Build storage and data pipelines for high data volumes and ensure data is captured, stored, versioned and available for model training.
• Automate provisioning, deployment and operations with infrastructure‑as‑code and CI/CD tooling.
• Identify and resolve performance, stability and security issues; develop backup, recovery and access concepts.

Skills

Server planning

Virtualisation

Kubernetes

GPU scheduling

Networking

Storage pipelines

Automation

Linux scripting

CI/CD

Security concepts

Team collaboration

Education

Degree in computer science

Related technical degree or vocational training

Tools

Proxmox

KVM

VMware

Docker

Kubernetes

Terraform

Ansible

GitLab CI

Job description

Compute Infrastructure Engineer – NeuraGym (human)

Neura Robotics • Riederich

Give Our Robots Consciousness

In the AI Department, you'll develop the cognitive abilities of our robots, enabling them to understand and interact with their surroundings. You'll work on algorithms that make machines intelligent and adaptive—ranging from object recognition and language processing to decision-making in complex environments. You'll be part of a team that pushes technological boundaries and collaborates closely with software, hardware, and product management teams. Using cutting‑edge tools and methods from machine learning and AI, you'll work on projects that have a direct impact on our products. If you're excited about making machines smarter and shaping the future of human‑machine interaction, the AI Department is the perfect place for you.

• Full‑time

Riederich

from today

Your mission & challenges

As Compute Infrastructure Engineer – NeuraGym you work at the intersection of server architecture, virtualisation, container orchestration and data processing, with a strong focus on building a scalable compute and storage infrastructure for multimodal robot data. Your core responsibility is designing, building and operating the system landscape in the NeuraGym so that recording and processing on large data volumes run reliably, performantly and reproducibly.

You play a decisive role in enabling high‑quality embodied AI systems by turning individual servers, workstations and edge devices into a distributed, maintainable and extensible compute system.

• Server infrastructure planning: You plan and design the NeuraGym server infrastructure, including sizing of compute, GPU, storage and network, rack layout, power and cooling concept, and procurement in coordination with the team.
• Virtualisation: You build and operate virtualisation environments based on hypervisors such as Proxmox and provide development, test and production environments.
• Kubernetes & GPU scheduling: You design and operate Kubernetes clusters (or comparable orchestration) for data preprocessing workloads, including GPU scheduling, monitoring and logging.
• Distributed processing: You intelligently distribute compute‑and data‑intensive processes across multiple machines, from edge devices on the robot via local servers to central storage systems, and make sure bottlenecks are detected and removed.
• Network design: You design the NeuraGym network infrastructure: VLANs, switching, bandwidth planning for camera and sensor streams, firewall rules and secure integration with the rest of the company IT.
• Storage & data pipelines: You build storage and data pipelines for high data volumes (e.g. object storage, distributed file systems, streaming ingest) and ensure that data is reliably captured, stored, versioned and made available for model training.
• Automation: You automate provisioning, deployment and operations with infrastructure‑as‑code and CI/CD tooling and document the system landscape in a traceable way.
• Stability & security: You identify and resolve performance, stability and security issues in the infrastructure and develop backup, recovery and access concepts.

What we can look forward to

• Education: Degree in computer science, systems engineering, engineering or a related field, or comparable vocational training with relevant practical experience.
• Experience: 4+ years in system administration, infrastructure engineering, DevOps or platform engineering.
• Server infrastructure: Solid experience planning, designing and operating server infrastructure (sizing, rack build‑out, hardware selection, procurement).
• Virtualisation: Hands‑on experience with hypervisors and virtualisation (e.g. Proxmox, KVM, VMware), including storage and network integration.
• Containers: Strong knowledge of container technologies and orchestration (Docker, Kubernetes or comparable platforms), ideally with GPU workloads.
• Distributed systems: Understanding of how processes, data and compute load are sensibly distributed, synchronised and monitored across multiple machines.
• Linux & scripting: Confident with Linux systems, shell scripting and at least one scripting language (e.g. Python, Bash).
• IaC & CI/CD: Experience with infrastructure as code and automation (e.g. Ansible, Terraform) as well as CI/CD tooling (e.g. GitLab CI).
• Working style: A structured, self‑driven way of working and enjoyment in building infrastructure from the ground up together with an interdisciplinary team.

Nice to have: Experience with monitoring and logging stacks (e.g. Prometheus, Grafana).

What you can look forward to

Creative Freedom and Agility

Enjoy a dynamic, self‑reliant work culture with flat hierarchies, flexible hours, and 30 vacation days. Ideal for those seeking an inspiring professional setting, whether you're starting out or an experienced exec.

Passion for Winning

A passionate and highly skilled team of international experts aiming to redefine robot assistants.

Attractive Compensation

Enjoy a competitive salary package along with exclusive employee discounts.

One Team

Whether it's a summer party or company town hall meetings, we celebrate our successes together.

Professional Growth

Support for your personal and professional development.

Our values. The cornerstones of our success.

STRONGER TOGETHER

We are a team. We strive to achieve great things by promoting the success of our colleagues and partners.

PASSION DRIVES US

We strive for technological progress in order to give people back their valuable time for enjoyable activities.

MAKING A CHANGE

We strive to revolutionize the world of robotics by pushing the boundaries of technology every day.

TRUST AND HONESTY

We live a high level of appreciation through open communication and transparency.

WE SPEED THINGS UP

We do our best to always be two steps ahead. We achieve this through empowerment, freedom of action and personal responsibility.

WE ARE HUMAN

People are at the center of everything we do.

Our Location

Headquarters: Innovate in Riederich, Live in Metzingen and Stuttgart

Our headquarters in Metzingen and Riederich are the heart of our company. It's not just home to our offices, but also our production facilities, Academy, logistics, and Tech Labs—all working together to turn ideas into reality. Riederich itself is a small, peaceful town, just a kilometer away from Metzingen, a city with its own unique character. Metzingen is globally renowned as Outlet City, attracting visitors from all over the world. Here, you can enjoy exclusive designer stores in a relaxed and charming setting. The city also offers a variety of restaurants, cafés, and a down-to‑earth Swabian coziness—perfect for unwinding after work.

Our application process

We ensure a transparent and efficient process and look forward to getting to know you during the application process.

Your insight into our daily work

Unsere Mission

David Reger

Gründer und CEO

"Our goal was to develop the world's first cognitive robot that can work with people, learn from them and provide them with targeted support. And that is exactly what we have achieved. But there is much more to come!"

Sounds interesting?