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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

IP Paralegal - Patentfachangestellte

Full-Time
No salary listed
Mid
Metzingen, Germany+1 moreMore locations: Riederich, Germany
In Person
LegalIntellectual Property (IP)

About the job

Requirements
  • Successfully completed vocational training as a patent attorney’s assistant or an equivalent qualification; alternatively, several years of professional experience in an intellectual-property environment or practical patent and trademark experience as a career changer.
  • Good written and spoken German and English language skills.
  • Proficiency with Microsoft Office and IP databases, with an interest in actively developing such systems.
  • Ability to administer a large number of parallel matters reliably and efficiently.
  • Ability to work independently, reliably, carefully, and responsibly in a team.
Responsibilities
  • Build and further develop the IP operations infrastructure from filing through deadline monitoring.
  • Help establish efficient processes for patent applications with the German Patent and Trademark Office, European Patent Office, and World Intellectual Property Organization, as well as for trademarks, utility models, and designs.
  • Set up and maintain the IP management system and ensure consistent data quality and process standards.
  • Correspond with patent offices, inventors, and external correspondent law firms worldwide.
  • Build a reliable deadline-management and follow-up system.
  • Process invention disclosures and support the complete filing process in close cooperation with patent attorneys.
  • Prepare and process annual fee payments domestically and internationally.
  • Participate in selecting, configuring, and optimizing IP tools and workflows.
  • Support patent attorneys with administrative and organizational tasks.
Desired Qualifications
  • Professional experience in industry or a law firm in intellectual property, with a focus on patents and/or trademarks.

About the company

Neura Robotics builds cognitive robots for industrial and service settings, combining perception, manipulation, and human collaboration. It develops both the hardware and the software stack for Physical AI, creating robot platforms like MAiRA, MAV, LARA and MiPA along with training infrastructure. The system works by integrating sensing, decision-making, and manipulation capabilities on a hardware-software stack that can be deployed in large-scale production, with the company planning robots fleets and NEURA Gyms for ongoing training and improvement. What sets Neura Robotics apart is its end-to-end approach to Physical AI, including a focus on mass production, an established global deployment plan, and a broad ecosystem of strategic backers and partners that support scaling and international expansion. The goal is to enable worldwide deployment of its robot platforms and associated training infrastructure, turning physical AI into widely available industrial and service automation.

Company Size

501-1,000

Company Stage

Series C

Total Funding

$1.7B

Headquarters

Metzingen, Germany

Founded

2019

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Simplify Jobs

Simplify's Take

What believers are saying

  • June 10, 2026 Series C raised up to $1.4 billion at $7 billion.
  • September 2026 SECO partnership localizes compute-module production for 4NE1 in Europe.
  • August 2026 acquisitions of ACTIVE Shuttle and Adlatus expand installed base and data.

What critics are saying

  • 4NE1 delivery still targets late 2026, making launch slippage a credibility trap.
  • ACTIVE Shuttle and Adlatus integrations can divert engineers from humanoid execution.
  • If Neuraverse misses software monetization, the $7 billion valuation collapses quickly.

What makes Neura Robotics unique

  • NEURA’s Neuraverse shares skills across humanoids, arms, mobile robots, and cleaning machines.
  • Its Brain + Nervous System architecture localizes sensing and compute inside each robot.
  • European industrial partners Bosch, Schaeffler, SECO, Qualcomm, Amazon, and NVIDIA validate manufacturing access.

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Benefits

  • Flexible Work Hours
  • Paid Vacation

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

0%

2 year growth

0%
Robotic Firms
Oct 15th, 2026
NEURA Robotics introduces Neuron AI multimodal foundation model for robots.

NEURA Robotics introduces Neuron AI multimodal foundation model for robots. NEURA Robotics introduced Neuron AI on October 14, 2026, a multimodal foundation model that combines sensory information and memory to guide physical robot actions. Developed and trained in Metzingen, Germany, the model supports five NEURA robot embodiments. Its Perception-Language-Action architecture integrates 3D vision, touch, force data, audio, robot state and language. These inputs share a common representation over time, enabling robots to use information that cameras alone cannot provide. A memory function retains relevant context when objects disappear from view. NEURA notes this helps robots track objects and the consequences of previous actions throughout tasks requiring multiple coordinated steps. David Reger, Founder and CEO of NEURA Robotics, stated: "An intelligent robot needs a brain that brings its senses together and remembers what happened. With Neuron AI, we are building the brain of the physical world: Physical AI that turns human expertise and physical experience into capabilities robots can learn and apply. Developed in Germany, built for the world." Training draws on real-world robot interactions, simulation-amplified datasets and human demonstrations recorded using sensor-equipped data suits. NEURA Gyms provide infrastructure for collecting synchronized sensor data, developing skills and benchmarking performance before deployment across different robot bodies, grippers and hands. Customers can fine-tune Neuron AI for specific tasks and distribute capabilities across fleets through Neuraverse. Skills can remain private, while customers may choose to share skills or deployment data. NEURA identifies Time-to-Skill, the time required to learn and reliably perform a task, as a central performance measure. The company states that industrial data partnerships with Schaeffler and Bosch complement its training infrastructure. Its development approach connects robot hardware, sensing, data collection and AI training with industrial process requirements. At NVIDIA GTC Berlin, October 20-22, NEURA plans to demonstrate its 4NE1 humanoid completing an eleven-minute autonomous laundry-handling sequence, covering sorting, machine loading, unloading and transfer to a dryer.

Robotics & Automation News
Oct 14th, 2026
Neura Robotics launches multimodal AI model that gives robots perception and memory.

Neura Robotics launches multimodal AI model that gives robots perception and memory. Discover more Industry Reports Robotic Process Automation Source Robotics Neura Robotics has launched Neuron AI, its multimodal foundation model for physical AI. Combining 3D vision, touch, audio, robot state and language with memory, Neuron AI enables robots to act on information beyond what cameras alone can capture, as well as retain relevant context when objects disappear from view. Its "Perception-Language-Action" (PLA) architecture connects what a robot sees, hears and feels with what it has already done, turning multisensory information into physical action. David Reger, founder and CEO of Neura Robotics, says: "An intelligent robot needs a brain that brings its senses together and remembers what happened. "With Neuron AI, we are building the brain of the physical world: Physical AI that turns human expertise and physical experience into capabilities robots can learn and apply. Developed in Germany, built for the world." Discover more Robotics News Subscription Automation Consulting Service Industrial Robot Sales Multimodal by design. Cameras capture geometry, color and position, but provide no information about contact, force or sound. Humans also rely on more than sight: they feel whether a screw has caught and hear when a connector clicks into place. Neuron AI applies this principle to robots. Rather than treating each sensor as a separate input, the model encodes 3D vision, tactile and force data, audio, robot state and language, aligns them in one shared space over time, and turns them into a single stream of action. Multisensory perception matters most for tasks that cameras cannot solve on their own. When a robot opens a lock, only sound and touch confirm that it is really open. With touch, a robot can grasp objects it cannot see. The additional senses also improve tasks that vision can already handle: in welding, for example, the quality of a seam can be judged from the sound of the process. In addition, Neuron AI has a memory function. To act in the physical world, a robot needs a sense of cause and effect and object permanence, the ability to remember objects when they are out of sight, which humans acquire in their first two years of life. Unlike purely digital AI, a robot acts in a continuous physical world and must keep track of objects and the consequences of its own actions over time, often without seeing them. Neura adapted the model's architecture specifically to introduce memory and trains it on dedicated datasets that make use of it. Three data pillars. Trained on three complementary sources of physical experience: Real-world robot data: Robots across different embodiments perform tasks in Neura Gyms, Neura's training infrastructure for cognitive robots and Physical AI and real-world environments, generating synchronized vision, touch, force, audio and movement data. Simulation-amplified data: Neura's Data Amplifier and simulation stack expand training data through simulated variations of tasks and environments. Human demonstration data: People wearing sensor-equipped data suits capture human movements and task demonstrations, bringing practical expertise into the training pipeline. Together, these pillars combine real physical interactions, simulated variation and human know-how to train a shared foundation across five Neura robot embodiments, with different grippers and hands. From learning to fleet implementation. The Neura Gyms connect data collection, skill training and benchmarking before deployment. Training data and skills developed in the Gyms inform subsequent model releases. The Neuraverse provides the platform for deploying and updating these capabilities across robot fleets. It also gives customers tools to fine-tune the model for their own tasks, turning process expertise into robot skills. Customers can keep their skills private. Where they choose to share skills or deployment data, those contributions can support the wider ecosystem and future model development. This makes Time-to-Skill a central measure of progress: how quickly a robot can learn a new task and perform it reliably. For industrial customers, shortening that time is essential to bringing Physical AI into more processes and adapting it as requirements change. Physical AI built in Germany. Neuron AI was developed and trained in-house in Metzingen, Germany. Neura brings together the robots, hands, sensing technology, data infrastructure and AI development needed to connect model training with physical performance. Germany's industrial base provides an important setting for this work: complex manufacturing processes, specialized expertise and demanding operating environments. Data partnerships with industrial companies including Schaeffler and Bosch complement training in the Neura Gyms. For Neura, this proximity connects the development of Physical AI with the knowledge and practical requirements of the industries it is intended to serve. Live demonstration at Nvidia GTC Berlin 2026. At Nvidia GTC Berlin 2026, Neura will demonstrate its humanoid robot 4NE1 (which means "For Anyone" phonetically) performing an eleven-minute laundry-handling sequence with the current version of Neuron AI. The sequence includes sorting laundry, loading a washing machine, closing and reopening it, unloading it and transferring the laundry to a dryer, without human intervention. The demonstration focuses on handling and task coordination within the laundry process. The challenge extends beyond any individual movement. The robot must carry relevant context through the sequence, complete each step and transition to the next. It brings Neura's architecture into one tangible example: planning, multisensory perception, memory and physical action working together. Visitors can see the demonstration at Station-Berlin, Hall 3, Booth #3031, from October 20 to 22.

Business Wire
Oct 14th, 2026
NEURA Robotics unveils Neuron AI, a multisensory foundation model for robots

NEURA Robotics has introduced Neuron AI, a multimodal foundation model for Physical AI. The Metzingen, Germany-based company says the model combines 3D vision, touch, audio, robot state, and language with memory, so robots can act on more than camera data and keep track of objects out of sight. Neuron AI is trained on real-world robot data, simulated data, and human demonstrations captured with sensor-equipped suits. It runs across five NEURA robot types, and customers can fine-tune it for their own tasks through the company's Neuraverse platform. Data partners include Schaeffler and Bosch. At NVIDIA GTC Berlin 2026, NEURA will show its 4NE1 humanoid robot handling laundry for eleven minutes without human help. The demonstration runs from October 20 to 22.

DNH MEDIA GROUP Kft
Sep 25th, 2026
Record-breaking investments are pouring into Europe - here's where the billions are going.

Record-breaking investments are pouring into Europe - here's where the billions are going. More than $51 billion in venture capital investment flowed into Europe in the first six months of 2026, whilst a record number of funding rounds worth over $1 billion were finalised in the first quarter of the year. Alongside AI, robotics, autonomous transport, fintech and energy, defence technologies and biotechnology are also attracting increasing attention from investors. Record number of billion-dollar deals already in the first quarter. According to KPMG's analysis, Europe's venture capital market continues to benefit from its geographical and sectoral diversity, with investment activity well distributed across countries and industries. The strength of the market is particularly well illustrated by the fact that in the first quarter of 2026, six European companies raised at least $1 billion in funding - a higher figure than ever before. Of the six transactions, three were in the United Kingdom, two in Germany and one in France. Among the largest European deals were the US$2 billion round for the British AI technology firm Nscale, the US$1.8 billion round for the German robotics firm Neura Robotics, the US$1.5 billion round for the British autonomous vehicle technology firm Wayve, the US$1.2 billion round for the German fintech firm Cloover, the French AI technology firm Advanced Machine Intelligence raising $1 billion, and the British energy technology firm Kraken Technologies raising $1 billion. These billion-dollar funding rounds clearly demonstrate that investor interest is no longer concentrated on a single technology sector: alongside AI and robotics, autonomous transport, fintech and energy also featured amongst the largest transactions. AI remains the driving force behind investment. Interest continued to grow in the second quarter: the British firm Ineffable Intelligence raised $1.1 billion, one of the largest early-stage funding rounds in Europe to date. This record-breaking investment also indicates that investors are willing to risk extremely large sums even in the early stages of a company's life cycle in pursuit of the growth opportunities offered by AI. Alongside AI, the biotechnology sector is also attracting increasing attention from investors. This is clearly illustrated by the $2.1 billion funding round secured by Isomorphic Labs, another UK-based company specialising in AI-driven pharmaceutical research, which was one of the largest European transactions in the first half of the year. The convergence of artificial intelligence and healthcare innovations is likely to continue to attract significant investor interest in Europe in the coming years. Defence technology is one of the fastest-growing sectors. Alongside AI, defence technology and dual-use technologies (which can be applied for both civilian and military purposes) have also become increasingly sought-after in Europe. According to KPMG, defence technology has seen spectacular growth in Europe over the past two years, with investor interest ranging from drone technology and satellites to secure communications and cyber solutions. In the second quarter, Aura Aero, a French developer of dual-use hybrid-electric aircraft, raised $392 million in funding. KPMG states that, due to geopolitical tensions and European countries' efforts to develop their sovereign defence capabilities, defence technology is likely to remain a key investment area in the coming period. Robotics, autonomous transport and energy are also attracting investors. Among the largest transactions of the first half of the year were several sectors which, alongside AI, demonstrate the broadening of the European technology ecosystem. German firm Neura Robotics' $1.8 billion funding round signals strong investor interest in robotics, whilst British firm Wayve's $1.5 billion round has taken funding in autonomous transport to a new level. In the energy technology sector, Germany's Cloover raised $1.2 billion, whilst the UK's Kraken Technologies raised $1 billion. According to KPMG, within the UK's energy sector, the focus has been particularly on infrastructure solutions that offer a response to growing energy demand, such as power generation, battery storage or energy efficiency technologies. Europe remained attractive to major investors. The European venture capital market had an exceptionally strong first half of 2026: according to data from KPMG Private Enterprise Venture Pulse, European companies raised $25.7 billion in venture capital in the first quarter, followed by a further $25.6 billion in the second, meaning that a total of approximately $51.3 billion flowed into the continent's start-up and scale-up ecosystem over the first six months. Partner with Daily News Hungary Reach Hungary's international audience. Get the most important Hungarian news every evening Join 7000+ readers worldwide. Unsubscribe anytime. Support independent journalism Help Daily News Hungary keep delivering credible news in English.

Industry Europe
Sep 7th, 2026
NEURA Robotics and SECO join forces to scale Physical AI from Europe.

NEURA Robotics and SECO join forces to scale Physical AI from Europe. 7 September 2026 11:00 * Partnership combines NEURA's Physical AI architecture, which leverages Qualcomm Technologies' advanced computing platforms and SECO's embedded engineering and manufacturing expertise, while jointly developing Physical AI solutions for the semiconductor industry * NEURA and SECO will collaborate on electronic compute modules for NEURA's cognitive robots, including the humanoid 4NE1, supporting scalable series production in Europe * The collaboration builds on NEURA's decentralised Brain + Nervous System architecture and Smart Limb concept, which draw on Qualcomm Technologies' advanced computing platforms. * NEURA and SECO will also work together on real-world industrial data and automation solutions for semiconductor and electronics manufacturing, creating technologies that can ultimately be deployed globally. Credit: NEURA Robotics / SECO From left to right: Massimo Mauri, CEO of SECO, and David Reger, founder and CEO of NEURA Robotics. NEURA Robotics ("NEURA") and SECO S.p.A. ("SECO") today announced a strategic partnership to industrialise and scale Physical AI from Europe. As part of the collaboration, SECO will work with NEURA on the design, engineering and manufacturing of electronic compute modules for NEURA's cognitive robots, including the humanoid 4NE1. The modules integrate Qualcomm Dragonwing(TM) processors from Qualcomm Technologies, Inc., and form part of NEURA's broader distributed compute architecture. The collaboration brings together three complementary capabilities: NEURA's Physical AI and robotics architecture, which leverages Qualcomm Technologies' advanced edge computing platforms, and SECO's embedded engineering and industrial manufacturing expertise. Smart Limbs: Intelligence throughout the robot NEURA believes Physical AI will be shaped by three fundamental technology layers: sensing, compute, and cloud infrastructure. Inside the machine, NEURA follows a Brain + Nervous System architecture. Through its Smart Limb concept, sensing and compute are distributed throughout the robot, bringing intelligence closer to the joints, sensors and physical interactions where real-time decisions are required. This real-time responsiveness at the edge is what allows robots to work safely and reliably alongside people. Qualcomm Technologies' Dragonwing Robotics processors help support on-device AI performance, power efficiency and low-latency control that this decentralised approach requires. SECO supports the engineering and industrialisation of corresponding compute modules for scalable production. Each partner therefore contributes its core strength to a broader Physical AI architecture. Strengthening European alliances With SECO, NEURA gains a strong European partner for its Physical AI ecosystem. As a European leader in edge AI, with deep expertise in embedded computing and electronics, SECO engineers the compute modules that bring the Dragonwing processors into NEURA's cognitive robots, so the hardware can be manufactured reliably and at the volumes NEURA's scale-up requires. Beyond this initial engagement, NEURA and SECO are working on the next steps of the partnership. These include a NEURA Gym in Italy, which will mark NEURA's first training hub in Southern Europe, and the joint collection of real-world production data as NEURA robots are going to be deployed in industrial settings. SECO is already a strong ecosystem partner with Qualcomm Technologies and has been building different tiers of compute platforms for industrial applications on Dragonwing processors. The design and development of compute modules for NEURA's cognitive robots brings all the key technologies together. From building robots to transforming production The collaboration goes beyond the compute modules inside NEURA robots. A particular focus is semiconductor and electronics manufacturing, where NEURA and SECO will use the real-world production data to develop new Physical AI automation solutions for the industry. The objective is to teach intelligent machines increasingly complex production processes, turn this knowledge into scalable automation capabilities, and ultimately make these technologies deployable across semiconductor manufacturing environments worldwide. This creates a powerful cycle: European industrial processes generate real-world knowledge, Physical AI learns from it, and the resulting capabilities can then be scaled globally. For NEURA, this reflects an important principle behind the Neuraverse: industrial knowledge should not remain trapped inside individual automation projects. Skills developed from real-world applications can become reusable building blocks for a new generation of intelligent machines. Building Europe's technology backbone for Physical AI Europe already has many of the ingredients required to lead Physical AI: robotics, industrial manufacturing, embedded systems, sensors, automation and world-class research. The opportunity is to connect them. The compute hardware SECO manufactures for NEURA's robots will be developed and produced in Europe, adding another link to a resilient European supply chain for Physical AI. The partnership between NEURA and SECO combines European engineering and industrialisation with leading global compute technology, creating another link in a scalable Physical AI ecosystem. The goal is technological sovereignty through collaboration: building critical capabilities and industrial know-how in Europe while connecting them with the best technologies in the world. David Reger, Founder and CEO of NEURA Robotics: "Physical AI will not be built by one company alone. It requires an ecosystem across sensing, compute, cloud, and industrialization. Through our collaboration with Qualcomm Technologies, we are advancing the compute behind our Brain + Nervous System and Smart Limb architecture, and SECO brings additional European engineering and manufacturing expertise to help us scale it. Together we will use real industrial processes to generate data and develop Physical AI solutions for semiconductor manufacturing that can ultimately be deployed anywhere in the world. This is exactly how I believe Europe should approach Physical AI: combine our industrial knowledge, build together and scale it globally." Max Mauri, CEO of SECO: "We are proud to work with NEURA on both the industrialisation of its cognitive robotics platforms and the application of Physical AI to our own industrial environment. By combining our strong engineering and technology expertise with NEURA's Physical AI architecture and Qualcomm Technologies' advanced computing platforms, we can create solutions with relevance far beyond a single factory or application." Nakul Duggal, EVP and Group GM, Automotive, Industrial and Embedded IoT, and Robotics, Qualcomm Technologies, Inc.: "As physical AI moves from innovation to real-world deployment, scalable, intelligent compute platforms are essential to enabling the next generation of cognitive robotics. Our collaboration with NEURA Robotics combines Dragonwing's high-performance, power-efficient AI processing with NEURA's pioneering Brain + Nervous System architecture, helping bring more responsive, capable, and adaptable robots into industrial and commercial environments. We are pleased to see SECO join this growing ecosystem and help accelerate the path to reliable, large-scale production."