---
title: 'GPU Cluster Engineer (human) at Neura Robotics'
canonical: 'https://feeny.ai/job/gpu-cluster-engineer-human-neura-robotics-metzingen-0k75jftp0jdr'
type: 'job'
last_seen: '2026-09-08'
---

# GPU Cluster Engineer (human) at Neura Robotics

- **Company:** [Neura Robotics](https://feeny.ai/companies/neura-robotics)
- **Location:** Metzingen, Germany / Riederich, Germany
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-04-13
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/neura-robotics-gmbh/25e06220-cdb6-4468-8ef4-37132ba46766/application

**Skills:** AWS HyperPod, Slurm, Kubernetes, GPU Cluster Operations, Distributed Training, Infrastructure as Code, Cloud Cost Management, Self-service Tooling, Operational Documentation, German

> Design and operate NEURA's large-scale AWS HyperPod GPU cluster infrastructure, focusing on cluster stability, workload management, and self-service tooling for ML teams. The role involves optimizing GPU utilization, managing costs, and collaborating with AWS to influence platform platform at the hyperscaler level.

## Job description

## YOUR MISSION & CHALLENGES

- You are the go-to expert for NEURA's GPU cluster infrastructure - a large-scale AWS HyperPod environment running cutting-edge GPU instances for foundation model training and customer fine-tuning workloads. You design the operational framework, build self-service tooling for ML teams, and work directly with AWS to influence the platform at the hyperscaler level.
- Your focus is on cluster engineering and operations — not on ML research itself, but on making sure the people doing that research have rock-solid, efficient, and accessible infrastructure under them.
- Setting up, configuring, and continuously evolving NEURA's HyperPod clusters, including HyperPod/Slurm and HyperPod/EKS orchestration models.
- Designing and implementing strategies for cluster stability: node failure detection, automated job recovery, checkpoint coordination, and fault-tolerant multi-node training workflows.
- Providing a workload priority management framework that allows multiple teams and use cases like foundation model pretraining, fine-tuning, customer workloads, to share cluster capacity efficiently and fairly.
- Optimizing end-to-end GPU utilization: identifying and resolving bottlenecks across compute, GPU memory, EFA networking, and storage throughput.
- Working directly and closely with the AWS HyperPod product and solutions engineering teams, escalating operational issues, sharing learnings from one of the platform's largest deployments, and placing concrete requirements on the roadmap.
- Providing self-service tooling that allows ML researchers and engineers to launch, monitor, and manage training jobs independently, without requiring infrastructure intervention for routine operations.
- Developing onboarding documentation, training materials, and internal workshops that enable users to operate efficiently, follow best practices, and understand cost implications of their workloads.
- Infrastructure as Code is a given for you. Every cluster configuration, every operational change, every new environment is code first.
- Owning the cost and capacity strategy: Spot instance management, Reserved Instance planning, Savings Plans, and ongoing commitment negotiations with AWS.

## WHAT WE CAN LOOK FORWARD TO

- 5+ years of experience in infrastructure or systems engineering, with a strong focus on GPU cluster or HPC operations.
- Deep hands-on experience with AWS HyperPod and AWS instances; direct prior experience with HyperPod is a strong differentiator.
- Solid understanding of both Slurm and Kubernetes as cluster orchestration layers, and the ability to evaluate their trade-offs for large-scale GPU workloads.
- Practical knowledge of distributed training - you understand what affects throughput and how to debug it.
- Experience building self-service tooling and operational documentation for technical end users.
- You make complex infrastructure accessible, not just functional.
- Strong understanding of cloud cost management at scale: Spot interruption handling, capacity reservations, cost attribution across teams and workloads.
- Comfort working across organizational boundaries — your primary partners are ML researchers, but you'll also work closely with product, finance, and cloud vendor teams.
- Strong English communication skills. German is a plus.

## About Neura Robotics

## Company Overview
- **One-liner**: NEURA Robotics develops cognitive robots that see, hear, feel, and learn, designed to work alongside humans in industrial, service, and household settings.
- **Entity Type**: Private (Series C — raised up to $1.4 billion as of 2025/2026)
- **Headquarters**: Metzingen, Germany (with offices in Bielefeld and Munich, and US locations in preparation)
- **Founded**: 2019
- **Founders**: David Reger

## Core Business
- **Primary industry/industries**: Cognitive Robotics, Humanoid Robotics, Industrial Automation, AI
- **Target customers**: B2B (industrial clients, integrators, strategic partners); also B2C via household robots like MiPA
- **Mission or purpose statement**: "We serve humanity by creating robots that give people back their time for what matters most. Our mission is to expand human potential through cognitive robotics that work safely alongside us."

## Products & Services
- **4NE1**: Production-ready humanoid robot designed for industrial workflows and everyday assistance, powered by proprietary AI (AURA). Built for mass production.
- **MAiRA (Multi-sensing Intelligent Robotic Assistant)**: The world's first cognitive robot arm — a collaborative robot that senses, responds, and adapts.
- **LARA (Lightweight Agile Robotic Assistant)**: Collaborative industrial robot for agile, lightweight automation tasks.
- **MiPA (My Intelligent Personal Assistant)**: Humanoid service and household robot for home assistance.
- **MAV (Multisensing Autonomous Vehicle)**: Mobile transport robot for logistics and material handling.
- **NEURA OmniSensor**: Proprietary sensor technology enabling robots to perceive their environment.
- **Neuraverse**: A global platform connecting robots, developers, and partners into a shared intelligence network where every deployment makes each robot smarter. Also serves as a marketplace for robotics applications.
- **NEURA Gyms**: Real-world training facilities where robots learn complex tasks in controlled environments to generate high-quality data for AI model validation.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company)
- **Key Metric**: Total investment >€100 million in 2023; Series C up to $1.4 billion (2025/2026); 2024 revenue in mid-double-digit million euros; 2025 target: triple-digit million euros
- **Notable Investors/Partners**: Lingotto Investment Management, BlueCrest Capital Management, InterAlpen Partners, Vsquared Ventures, HV Capital, Delta Electronics, C4 Ventures, Primepulse, L-Bank, Volvo Cars Tech Fund. Strategic partners include Qualcomm, Bosch, Schaeffler, NVIDIA, and AWS.
- **Growth Signals**: Over 1,400 employees from more than 45 countries (up from 300+ in 2024). Four of the world's ten largest robotics companies use NEURA's technology under their own brand. Deployed across Europe, US, China, and Japan. Europe's first production-ready humanoid robot (4NE1) launched.

## Competitive Advantages
- **Full vertical integration**: Develops all software, hardware, and platform technologies in-house, giving full control over performance, safety, and reliability.
- **Cognitive robotics pioneer**: Coined the term "cognitive robotics" — robots that perceive, learn, and adapt in real-time, unlike traditional industrial robots.
- **Neuraverse platform**: World's first platform connecting cognitive robots into a shared intelligence network, creating a data moat as every deployment improves all robots.
- **White-label partnerships**: Four of the top 10 global robotics companies OEM NEURA's technology, creating deep industry lock-in.
- **Diverse product range**: From collaborative robot arms (MAiRA, LARA) to humanoids (4NE1, MiPA) and autonomous vehicles (MAV), covering industrial, service, and household use cases.

## Strategic Focus
- **Scaling production**: Rapidly scaling robot production to meet growing demand, with Europe's first production-ready humanoid robot.
- **Expanding the Neuraverse**: Building the world's largest repository of real-world robotics data through shared learning across all deployed robots.
- **Global expansion**: Establishing US operations and strengthening presence in Japan and China.
- **B2B platform strategy**: Moving beyond hardware to become a platform company via the Neuraverse marketplace and NEURA Gyms.
- **Partnership ecosystem**: Deepening relationships with strategic partners like Bosch, Schaeffler, Qualcomm, NVIDIA, and AWS.

## Why Work Here
- **Culture**: "Passion for Winning" — achievement-driven, self-responsible culture with flat hierarchies. Values include trust, honesty, speed, and "We Are Human" (people at the heart of everything).
- **Flexibility**: Flexible working hours, 30 days of vacation, and a hybrid-friendly environment.
- **Team**: Over 1,400 employees from more than 45 countries — highly skilled, international team of experts.
- **Growth & Development**: Support for personal and professional growth via Udemy training platform and more.
- **Compensation**: Competitive salary package with exclusive employee discounts.
- **Perks**: Summer parties, company town hall meetings, and regular team celebrations.
- **Impact**: Opportunity to work on cutting-edge cognitive robotics and AI that directly addresses labor shortages and makes a meaningful societal impact.
- **Diversity**: Explicitly welcomes applications from all backgrounds, emphasizing building a team that reflects the world.
- **Application Process**: Fast — initial feedback within a few days, interviews scheduled within two weeks.

## Sources
1. [neura-robotics.com](https://neura-robotics.com/)
2. [press.neura-robotics.com](https://press.neura-robotics.com/factsheet-neura-robotics-en/)
3. [neura-robotics.com/company-about-us](https://neura-robotics.com/company-about-us/)
4. [jobs.neura-robotics.com](https://jobs.neura-robotics.com/)
5. [neura-robotics.com/press](https://neura-robotics.com/press/)

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