---
title: 'Senior Robotic Foundation Model Engineer (human) at Neura Robotics'
canonical: 'https://feeny.ai/job/senior-robotic-foundation-model-engineer-human-neura-robotics-metzingen-b5ntc4bpfwb2'
type: 'job'
last_seen: '2026-09-15'
---

# Senior Robotic Foundation Model Engineer (human) at Neura Robotics

- **Company:** [Neura Robotics](https://feeny.ai/companies/neura-robotics)
- **Location:** Metzingen / Riederich
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-26
- **Last confirmed live:** 2026-09-15
- **Apply:** https://jobs.ashbyhq.com/neura-robotics-gmbh/aceaf54d-1af6-44af-9d86-bd2d0aab2aa7/application

**Skills:** Python, PyTorch, TensorFlow, Machine Learning, Robotics, Vision-based manipulation, Reinforcement learning, Imitation learning, Multimodal models, Robot hardware, Robot middleware, C++, AWS, Azure, GCP, IsaacSim, MuJoCo

> Drive the development of cognitive robotics applications using the NeuraGym platform, including training foundation models and fine-tuning them for production. Collaborate with engineering teams to build intelligent robotic systems and provide technical consulting and support to users.

## Job description

## Your Mission & Challenges

- Own the outcome on the robot: Drive the development of cognitive robotics applications through Physical AI and the NeuraGym platform — you own the outcome on the customer's robot, not just the model in the repo.
- Execute the full pipeline: Take foundation models to production-ready robotic intelligence by executing the complete NeuraGym pipeline — teleoperation, data annotation, training, simulation, deployment, and validation — tailored to real-world robotics applications. Define the data strategy that makes a fine-tune work and own the full post-training loop including hyperparameter iteration, data mixture, LoRA, and honest evaluation.
- Deploy to real-time control: Take policies from checkpoint to real-time closed-loop control — distillation, quantization, action chunking, latency budgets, and on-device/edge inference under the customer's cycle time and reliability requirements.
- Master the full robotics stack: Work across NEURA OS and the control layer — real-time control, kinematics, motion planning, force/impedance control, and the safety architecture — and integrate learned policies cleanly with the low-level controller instead of treating it as a black box.
- Hands-on system integration: Work directly on MAiRA, MiPA, LARA, and humanoid platforms alongside multidisciplinary engineering teams — end-effectors and tool changers, sensor selection and mounting, calibration, electrical and fieldbus interfaces, and the mechanical reality of the cell.
- Enable and support customers: Guide and onboard users to NeuraGym by reviewing training pipelines and scripts, identifying data quality issues, troubleshooting model behavior, and providing hands-on support to resolve persistent blockers.
- Cross-functional collaboration: Serve as a key interface between Cloud and AI teams, ensuring smooth collaboration, technical alignment, and efficient problem-solving across domains.
- Build evaluation rigor: Create the eval harnesses, success-rate benchmarks, and regression tests that decide whether a policy is ready for handover — and make failure modes visible before the customer finds them.
- Research to production: Prototype techniques from recent papers together with the research team and bring the ones that survive contact with reality into production deployments.
- Close the feedback loop: Translate field experience and customer insights into actionable feedback for both the NeuraGym product roadmap and the NEURA core AI roadmap.

## What We Can Look Forward To

- Your education: Master's degree or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
- ML in robotics depth: 5+ years of hands-on machine-learning experience in robotics — strong in at least one of vision-based manipulation, reinforcement/imitation learning, or multimodal models, and keen to learn the rest.
- Fine-tuning expertise: Demonstrable experience fine-tuning large pretrained models for robotics or another domain: PEFT/LoRA and full fine-tunes, dataset curation, distillation, and evaluation. Familiarity with the open VLA and policy-learning ecosystem (e.g., π0/π0.5, OpenVLA, LeRobot, diffusion policies) is a strong plus.
- Programming skills: Solid Python skills (C++ is a plus); practical experience with PyTorch or TensorFlow.
- Cloud and simulation: AWS, Azure, or GCP experience and familiarity with robotic simulation tools (IsaacSim, MuJoCo, etc.) are pluses.
- Robotics software stack: Working command of a robotics software stack beyond the model layer — robot operating systems and middleware (NEURA OS, ROS/ROS2 or comparable), real-time control, kinematics and motion planning, force/impedance control, and how a learned policy wires into a low-level controller and its safety layer.
- Hardware literacy: Solid understanding of robot hardware — drives and joint modules, torque sensing and encoders, end-effectors, sensor integration, calibration, electrical and fieldbus interfaces (e.g., EtherCAT), and functional safety concepts — enough to distinguish a model problem from a machine problem on site.
- Execution mindset: Proven problem-solving abilities, ability to handle multiple projects in parallel, and a strong bias toward execution and personal commitment. You take deployments personally, work through setbacks, and measure yourself by what runs at the customer.
- Communication: Clear communicator who translates between researchers, engineers, and end-users. You have solid command of English and German (B2–C1 level).
- Travel readiness: Willingness to travel frequently to customer sites and NeuraGyms (approximately 40–60%).

## 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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