---
title: 'Hardware Architect - Cognitive Robotics (human) at Neura Robotics'
canonical: 'https://feeny.ai/job/hardware-architect-cognitive-robotics-human-neura-robotics-metzingen-1m3vw3t53cvx'
type: 'job'
last_seen: '2026-11-10'
---

# Hardware Architect - Cognitive Robotics (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:** 2026-05-11
- **Last confirmed live:** 2026-11-10
- **Apply:** https://jobs.ashbyhq.com/neura-robotics-gmbh/eec107cd-5ce1-4851-a05d-7ca29d7efd7e/application

**Skills:** Hardware System Architecture, Embedded Compute Platforms, ARM Cortex-A/M, NVIDIA Jetson, FPGA, eFPGA, Power System Architecture, Multi-rail SMPS Design, Battery/BMS Integration, EMC Mitigation, EtherCAT, CAN-FD, TSN Ethernet, SpaceWire, Functional Safety Standards, DFM/DFT, Design for Manufacturability, Design for Testability, English, Robotics hardware

> The Hardware Architect defines the physical blueprint for advanced cognitive robots, translating product requirements into scalable hardware systems. This role involves leading architecture reviews, selecting platform components, and ensuring compatibility with high-volume manufacturing while mentoring senior engine...

## Job description

This is where Artificial Intelligence comes to life. The Hardware Department designs, constructs, and optimizes all physical components of our cognitive robots. As NEURA scales from prototype to production of five million robots, the decisions made at the architecture level today will shape the platform for years to come. The Hardware Architect is the person who makes those decisions — with the authority to define the blueprint and the accountability to make it work in the real world.

## Your mission & challenges

You define the hardware blueprint for the world's most advanced cognitive robots. NEURA's humanoid robot is a deeply complex cyber-physical system: distributed computing, high-density power electronics, a body-area sensor network, real-time actuation control, and a cognitive AI stack — all packed into a human-scale form factor and designed for mass production. The Hardware Architect owns the overall hardware system architecture, translates product requirements into physical design constraints, and ensures that every sub-system — from PCBAs to cabling to compute modules — fits coherently into a scalable, manufacturable whole.

- Hardware system architecture: Define and maintain the top-level hardware architecture of the robot platform — compute topology (SoCs, MCUs, edge AI accelerators), power architecture (bus voltages, distribution, protection), communication backbone (EtherCAT, CAN-FD, Ethernet, SerDes), and sensing architecture (sensor selection, placement, interface strategy).
- Requirements & partitioning: Translate product, performance, and safety requirements into hardware requirements; partition functionality across electronics, embedded software, and mechanical subsystems; manage technical interfaces between all hardware disciplines.
- Architecture governance: Lead hardware architecture reviews; define and enforce hardware design standards, interface control documents, and design rules across the electronics, firmware, and mechanical teams.
- Technology selection: Evaluate and select key platform components — compute SoCs, power management ICs, communication controllers, sensor ICs — balancing performance, availability, NRE cost, and long-term scalability.
- Cross-disciplinary integration: Serve as the primary technical interface between the hardware team and software/AI architecture teams; ensure the hardware platform exposes the right capabilities (memory bandwidth, I/O, compute) to meet AI inference and real-time control requirements.
- DFM and scalability: Ensure architectural decisions are compatible with high-volume manufacturing; drive design-for-reliability, design-for-testability (DFT), and design-for-cost principles from day one.
- Technical mentorship: Provide technical guidance and mentorship to senior electronics, firmware, and system engineers; support hiring and team growth in the hardware domain.

## What we can look forward to

A rare combination: system-level thinker and hands-on hardware expert. You are a senior hardware engineer or architect who has seen the full lifecycle of a complex embedded hardware product — from architecture concept through mass production — and who understands what it takes to get architecture right at each stage. You lead by technical authority, not organizational position, and you thrive in environments where the architecture is still being shaped.

- Master's degree in Electrical Engineering, Computer Engineering, Mechatronics, or a closely related field; PhD is a plus but not required.
- 8+ years of professional experience in hardware development for complex embedded or cyber-physical systems, with at least 3 years in a hardware architecture, lead engineer, or staff engineer role.
- Proven track record of defining and delivering multi-disciplinary hardware system architectures — from concept through EVT/DVT and into production — for products combining high-speed compute, power electronics, and real-time sensing.
- Deep understanding of embedded compute platforms (ARM Cortex-A/M, NVIDIA Jetson class, FPGA/eFPGA) and the trade-offs between centralized and distributed compute topologies.
- Strong command of power system architecture: multi-rail SMPS design, battery/BMS integration, load analysis, power sequencing, and EMC mitigation at the system level.
- Experience defining communication backbone architectures for real-time distributed systems (EtherCAT, CAN-FD, TSN Ethernet, SpaceWire, or similar).
- Familiarity with functional safety standards and the ability to translate safety requirements into hardware architecture constraints (redundancy, monitoring, safe states).
- Experience with DFM/DFT in high-volume hardware — able to drive architecture choices that remain manufacturable and testable at scale.
- Strong cross-functional communication skills: able to represent hardware architecture in discussions with product management, AI/software architects, supply chain, and executive leadership.
- Experience in robotics, automotive (ADAS/body electronics), aerospace, or industrial automation hardware is strongly preferred.
- Fluent English; German is a practical advantage.

## 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/)

## Other roles at Neura Robotics

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- [Linux Infrastructure Engineer - NeuraGym (human)](https://feeny.ai/job/linux-infrastructure-engineer-neuragym-human-neura-robotics-stuttgart-hnjeef65epw3) — Stuttgart, Germany
- [Network & Systems Administrator – RoboGym (Human)](https://feeny.ai/job/network-systems-administrator-robogym-human-neura-robotics-stuttgart-t8xaq61a1d1g) — Stuttgart, Germany
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- [Programme Manager – NEURA Research Programme (human)](https://feeny.ai/job/programme-manager-neura-research-programme-human-neura-robotics-metzingen-fqesea0mc426) — Metzingen, Germany / Riederich, Germany
- [Customer Project Manager (mensch)](https://feeny.ai/job/customer-project-manager-mensch-neura-robotics-munich-wvgm5ry2c9xf) — Munich, Germany
- [Customer Project Manager (human)](https://feeny.ai/job/customer-project-manager-human-neura-robotics-munich-e28fzskp9aj8) — Munich, Germany
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