---
title: 'Group Lead AI Engineering (Mensch) at Neura Robotics'
canonical: 'https://feeny.ai/job/group-lead-ai-engineering-mensch-neura-robotics-metzingen-5cqrne63ta46'
type: 'job'
last_seen: '2026-09-08'
---

# Group Lead AI Engineering (Mensch) at Neura Robotics

- **Company:** [Neura Robotics](https://feeny.ai/companies/neura-robotics)
- **Location:** Metzingen, Germany / Riederich, Germany
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-28
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/neura-robotics-gmbh/833692e4-d24f-4193-9a81-9189a12a72b9/application

**Skills:** Python, PyTorch, JAX, AWS, GCP, Azure, CI/CD, MLOps, IsaacSim, MuJoCo, Vision-based Perception, Manipulation & Control, Reinforcement Learning, Imitation Learning, Multimodal Foundation Models, C++, German Language Skills (B2-C1)

> Lead a focused AI engineering sub-team at NEURA Robotics, defining technical roadmaps and architecture while bridging research and production on real robot hardware. Responsible for team development, MLOps, and cross-functional collaboration in Metzingen, Germany.

## Job description

## DEINE MISSION & HERAUSFORDERUNGEN

NEURA skaliert seine AI-Abteilung, um unsere Produkt-Roadmap umzusetzen. Als Group Lead AI Engineering verantwortest du ein fokussiertes Sub-Team innerhalb der AI-Organisation. Du gibst die technische Richtung vor, triffst entscheidende Architekturentscheidungen und unterstützt dein Team dabei, Herausforderungen zu überwinden — gleichzeitig bleibst du nah genug an der Technik, um Arbeit zu reviewen, Ansätze kritisch zu hinterfragen und selbst vorzuleben, wie exzellentes Engineering aussieht.

## DEINE AUFGABEN

- Verantworte die technische Roadmap deines Teams: definiere Ziele, übersetze sie in umsetzbare Engineering-Streams und stelle die Abstimmung mit der übergeordneten AI- und Produktstrategie sicher.
- Führe und entwickle ein leistungsstarkes Team von AI Engineers: gewinne Top-Talente, führe technische Interviews, setze klare Erwartungen und entwickle Mitarbeitende zu Senior Engineers weiter.
- Treibe den Transfer von Research zu Production voran: evaluiere State-of-the-Art-Methoden, prüfe Machbarkeit und baue die technischen Brücken, die AI-Modelle zuverlässig auf realer Robotik-Hardware zum Laufen bringen.
- Arbeite cross-funktional mit Software-, Hardware- und Product-Teams zusammen, um AI-Fähigkeiten mit Plattformanforderungen und Customer Use Cases abzustimmen.
- Definiere und überwache Engineering-Qualitätsstandards: Testing-Standards, Model-Evaluation-Pipelines, Deployment-Metriken und Data-Governance-Praktiken innerhalb deines Verantwortungsbereichs.
- Werde hands-on aktiv, wenn dein Team auf komplexe Blocker stößt: reviewe Trainingsläufe, debugge Modellverhalten, hinterfrage Architekturentscheidungen und führe durch technisches Vorbild.
- Sammle Learnings aus Projekten und speise diese aktiv in die Core AI Roadmap zurück.

## WAS DU MITBRINGST

- Einen hervorragenden Master- oder PhD-Abschluss in Informatik, Robotik, Elektrotechnik oder einem verwandten Fachgebiet.
- 7+ Jahre praktische Erfahrung in ML- oder Robotics-AI-Engineering, davon mindestens 2 Jahre in einer formellen oder informellen technischen Lead-Rolle. Erfahrung mit produktiven Systemen ist essenziell.
- Fundierte Expertise in mindestens zwei der folgenden Bereiche:
- Vision-based Perception
- Manipulation & Control
- Reinforcement / Imitation Learning
- Multimodale Foundation Models
- Skalierbare MLOps-Systeme
- Sehr gute Python-Kenntnisse (C++ ist ein Plus), praktische Erfahrung mit PyTorch oder JAX sowie Kenntnisse in Cloud-Infrastruktur (AWS, GCP oder Azure) und CI/CD für ML-Systeme.
- Freude an der Arbeit mit realer Robotik-Hardware und Simulationsumgebungen wie IsaacSim, MuJoCo oder vergleichbaren Tools. Du weißt: Der echte Test findet immer in der realen Welt statt.
- Nachweisbare Fähigkeit, technische Richtung vorzugeben, Engineers zu coachen, Code- und Design-Reviews durchzuführen und Entscheidungen unter Unsicherheit zu treffen.
- Du kommunizierst souverän zwischen Research, Product Management und Hardware Engineering, ohne technische Präzision zu verlieren.
- Verhandlungssicheres Englisch; Deutschkenntnisse (B2–C1) sind ein starkes 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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