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NEURA Robotics

NEURA Robotics specializes in cognitive robotics designed for real-world applications, enabling safe and intelligent robot integration across various industries, including food and beverage, logistics, and medical sectors. Their products, such as humanoid robots and AI-powered assistants, are engineered to enhance productivity and support everyday tasks, adapting to diverse environments and workflows. NEURA Robotics aims to expand human potential through advanced robotics technology that collaborates with humans, making work more meaningful and life more human-centered.

<div>At the heart of product innovation and development, our Systems Engineering Department transforms market demands into safe, certifiable, and competitive solutions and architectures. By collaborating closely with software, hardware, safety, and certification teams, we ensure every product meets the highest standards while adapting to fast-evolving market needs. Our mission is to enable seamless human-robot collaboration and deliver solutions that are safe, compliant, and ready for the future. Join us to shape the next generation of human-robot systems by owning system-level requirements, integration, and alignment, with architectural responsibilities as needed. If you thrive in cross-functional teamwork and technical excellence, you&rsquo;ll find extraordinary opportunities with us.<h2 class="jobSectionHeader"> 
Your Mission and Challenges</h2><ul><li> 
Build &amp; Lead: Recruit, develop, and retain a cybersecurity team across Embedded/Robotics and Cloud/NeuraVerse verticals; grow from the current 2-person base. Own performance management, OKRs, and career development for all direct reports.</li><li>Governance &amp; Compliance: Own risk acceptance and compliance decisions independently from delivery timelines. Serve as primary contact to BSI under NIS2/BSIG &sect; 38 (management accountability, direct escalation path to CTO/CEO). Drive full CRA, NIS2, EU AI Act, and Machinery Regulation 2023/1230 compliance roadmap including SBOM, vulnerability disclosure, and patch lifecycle.</li><li>End-to-End Architecture: Own security architecture from hardware root-of-trust through encrypted robot-to-cloud communication: secure boot, HSM/TPM, firmware signing, EtherCAT/CAN/TSN hardening, RTOS/ROS 2 security; Kubernetes, IAM, API gateways, zero-trust, OTA pipeline. Drive IEC 62443 product security lifecycle (Parts 4-1, 4-2) and SSDLC integration.</li><li>Safety&ndash;Security Sync: Coordinate with Functional Safety Engineering on interdependencies per IEC 63074; ensure cybersecurity measures strengthen&mdash;never compromise&mdash;SIL/PL claims. Represent cybersecurity in HARA reviews where cyber threats constitute hazard causes.</li></ul><h2 class="jobSectionHeader"> 
What We Look For</h2><ul><li> 
People Manager &amp; HandsOn: 5+ years in cybersecurity engineering; minimum 3 years direct team leadership with demonstrable outcomes in hiring, performance management, and retention. Managing a team is the primary deliverable of this role.</li><li>The Hybrid Edge: Hands-on technical depth in both embedded/OT security (secure boot, HSM/TPM, firmware update, EtherCAT/CAN/TSN) and cloud security (Kubernetes, IaC, API security, secrets management). Not one or the other.</li><li>Regulatory Ownership: Proven end-to-end ownership of a compliance program (IEC 62443, CRA, NIS2, or equivalent)&mdash;not advisory participation. Deep knowledge of IEC 62443 (4-1, 4-2), NIST CSF, STRIDE/LINDDUN threat modeling, OWASP, fuzz testing, and SSDLC integration.</li><li>Startup Mindset: You balance defense-in-depth rigor with the speed of a scaling robotics company. Pragmatic, risk-informed decisions under time pressure. Track record of building structure in ambiguous environments; scale-up experience strongly preferred.</li><li>Certifications &amp; Differentiators: CISSP, GICSP, or OSCP highly valued. Background in robotics, industrial automation, automotive (ISO/SAE 21434), or IIoT security is a strong differentiator. Familiarity with IEC 63074 and ISO/PAS 8800:2024 (AI security) is a plus.</li></ul></div>

Group Manager Cybersecurity — Engineer the Future of Safe, Intelligent Robotic Systems (human)

<div><h3 class="jobSectionHeader">Your mission &amp; challenges</h3><ul><li>
Build, lead, and develop a high-performing team of Robotic Foundation Model Application Engineers, supporting both their technical growth and day-to-day execution</li><li>
Act as the technical lead and escalation point for NeuraGym users, evaluating feasibility, selecting appropriate algorithms, and defining data collection strategies</li><li>
Own and drive the onboarding process for NeuraGym users across the full pipeline, including teleoperation, annotation, training, simulation, deployment, and validation</li><li>
Partner closely with on-site Robotics Engineers during data collection and experiments to ensure correct robot behavior, safety standards, and experimental quality</li><li>
Take a hands-on role when technical blockers arise, including reviewing training code, diagnosing data issues, and reproducing model failures</li><li>
Act as the primary interface to Cloud and AI teams, enabling smooth cross-functional alignment and collaboration</li><li>
Consolidate insights across projects and translate them into improvements for both the NeuraGym product roadmap and the core Neura AI roadmap</li><li>
Define, monitor, and iterate on key team metrics such as skill success rate, time-to-validated-skill, and data efficiency</li></ul><h3 class="jobSectionHeader">
What we can look forward to</h3><ul><li>
Master&rsquo;s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field</li><li>
5+ years of hands-on machine learning experience in robotics, with strong expertise in at least two areas such as vision-based manipulation, reinforcement/imitation learning, or multimodal foundation models</li><li>
At least 2+ years of experience in people management or formal technical leadership (e.g., tech lead, staff engineer, or team lead with direct reports)</li><li>
Strong Python skills (C++ is a plus), with practical experience in PyTorch or TensorFlow</li><li>
Comfortable working directly with real robot hardware and associated middleware</li><li>
Experience with cloud platforms (AWS, Azure, or GCP) and robotic simulation tools (e.g., IsaacSim, MuJoCo) is a plus</li><li>
Proven track record of delivering complex, multi-month robotics projects with measurable outcomes</li><li>
Strong communicator with the ability to bridge researchers, engineers, and end-users; proficient in English and German (B2&ndash;C1)</li></ul></div><div></div>

Teamlead AI Engineering - RoboGym (human)

<div><h3 class="jobSectionHeader">Deine Mission &amp; Herausforderungen</h3><ul><li>
Bau, f&uuml;hre und entwickle ein leistungsstarkes Team von Robotic Foundation Model Application Engineers und unterst&uuml;tze sie sowohl in ihrer technischen Weiterentwicklung als auch im t&auml;glichen Arbeiten</li><li>
&Uuml;bernimm die technische Leitung und sei die zentrale Ansprechperson f&uuml;r NeuraGym-User, bewerte Machbarkeit, w&auml;hle passende Algorithmen aus und definiere Datenstrategien</li><li>
Steuere den gesamten Onboarding-Prozess f&uuml;r NeuraGym-User &uuml;ber die komplette Pipeline hinweg, inklusive Teleoperation, Annotation, Training, Simulation, Deployment und Validierung</li><li>
Arbeite eng mit den Robotics Engineers vor Ort zusammen bei Datenerfassung und Experimenten, damit Robotik-Verhalten, Sicherheitsstandards und Experimentqualit&auml;t stimmen</li><li>
Pack selbst mit an, wenn technische Blocker auftreten, z. B. beim Review von Trainingscode, bei der Analyse von Datenproblemen oder beim Reproduzieren von Modellfehlern</li><li>
Sei die zentrale Schnittstelle zu Cloud- und AI-Teams und sorge f&uuml;r reibungslose bereichs&uuml;bergreifende Zusammenarbeit</li><li>
Sammle Erkenntnisse aus allen Projekten und &uuml;bertrage sie in Verbesserungen f&uuml;r die NeuraGym Product Roadmap sowie die zentrale Neura AI Roadmap</li><li>
Definiere, tracke und verbessere wichtige Team-Kennzahlen wie Skill-Success-Rate, Time-to-Validated-Skill und Data-Efficiency</li></ul><h3 class="jobSectionHeader">
Worauf wir uns freuen</h3><ul><li>
Master oder PhD in Informatik, Robotik, Elektrotechnik oder einem verwandten Bereich</li><li>
5+ Jahre praktische Erfahrung im Machine Learning in der Robotik, mit starker Expertise in mindestens zwei Bereichen wie vision-basierter Manipulation, Reinforcement-/Imitation Learning oder multimodalen Foundation Models</li><li>
Mindestens 2+ Jahre Erfahrung in Mitarbeiterf&uuml;hrung oder formaler technischer Leitung (z. B. Tech Lead, Staff Engineer oder Team Lead mit direkten Reports)</li><li>
Sehr gute Python-Kenntnisse (C++ ist ein Plus) sowie praktische Erfahrung mit PyTorch oder TensorFlow</li><li>
Erfahrung im direkten Arbeiten mit echter Roboterhardware und zugeh&ouml;riger Middleware</li><li>
Erfahrung mit Cloud-Plattformen (AWS, Azure oder GCP) sowie Robotik-Simulationstools (z. B. IsaacSim, MuJoCo) ist ein Plus</li><li>
Nachweisbare Erfahrung in der Umsetzung komplexer, mehrmonatiger Robotikprojekte mit messbaren Ergebnissen</li><li>
Starke Kommunikationsf&auml;higkeiten, um zwischen Forschern, Ingenieuren und Endnutzern zu &uuml;bersetzen; sehr gutes Englisch und Deutsch (B2&ndash;C1)</li></ul></div><div></div>

Teamlead AI Engineering - RoboGym (Mensch)

<div><h3 class="jobSectionHeader">Deine Mission &amp; Herausforderungen</h3><ul><li>
Du bist AI Consultant f&uuml;r unsere NeuraGym-Nutzer:innen: Du bewertest die Machbarkeit von Projekten, w&auml;hlst passende Algorithmen aus und planst die Datenerfassung.</li><li>
Du begleitest Nutzer:innen durch die komplette NeuraGym-Pipeline &ndash; von Teleoperation &uuml;ber Annotation und Training bis hin zu Simulation, Deployment und Validierung.</li><li>
Du arbeitest eng mit unseren Robotics Engineers vor Ort zusammen, um bei Datenerfassung und Experimenten sicherzustellen, dass das gew&uuml;nschte Verhalten und alle Sicherheitsstandards erreicht werden.</li><li>
Du unterst&uuml;tzt Nutzer:innen beim Debugging: Du schaust dir Trainingsskripte an, erkennst Datenprobleme, hilfst dabei, Modellfehler nachzustellen, und packst selbst mit an, wenn es mal hakt.</li><li>
Du bist die Schnittstelle zu unserem Cloud- und AI-Team und sorgst f&uuml;r eine enge Zusammenarbeit und den n&ouml;tigen Support.</li><li>
Du bringst deine Erfahrungen und Erkenntnisse aktiv in die Weiterentwicklung von NeuraGym und unserer Neura Core AI Roadmap ein.</li></ul><h3 class="jobSectionHeader">
Darauf freuen wir uns</h3><ul><li>
Abgeschlossenes Masterstudium in Informatik, Robotik, Elektrotechnik oder einem vergleichbaren Bereich.</li><li>
Mindestens 3 Jahre praktische Erfahrung im Machine Learning f&uuml;r Robotik &ndash; mit Schwerpunkt in mindestens einem der folgenden Bereiche: bildbasierte Manipulation, Reinforcement- oder Imitation Learning oder multimodale Modelle. Gleichzeitig hast du Lust, dich auch in die anderen Themen einzuarbeiten.</li><li>
Gute Python-Kenntnisse (C++ ist ein Plus) sowie praktische Erfahrung mit PyTorch oder TensorFlow.</li><li>
Du arbeitest gerne direkt mit echter Roboterhardware und den dazugeh&ouml;rigen Middleware-L&ouml;sungen.</li><li>
Erfahrung mit Cloud-Plattformen (AWS, Azure oder GCP) sowie Robotik-Simulationsumgebungen (z. B. Isaac Sim oder MuJoCo) ist von Vorteil.</li><li>
Du gehst Herausforderungen strukturiert an und beh&auml;ltst auch bei mehreren parallelen Projekten den &Uuml;berblick.</li><li>
Du kommunizierst klar und kannst gut zwischen Forschung, Engineering und Endanwender:innen vermitteln. Au&szlig;erdem verf&uuml;gst du &uuml;ber sehr gute Englisch- und Deutschkenntnisse (mindestens B2&ndash;C1).</li></ul></div><div></div>

Robotic Foundation Model Engineer – RoboGym (Mensch)

<div>Your mission &amp; challenges<ul><li>
Act as AI consultant for NeuraGym users: scope feasibility, choose algorithms, plan data collection</li><li>
Onboard users to the full NeuraGym pipeline: teleoperation, annotation, training, simulation, deployment and validation</li><li>
Collaborate closely with the on-site Robotics Engineer during data capture and experiments to ensure that the desired behavior and safety standards are achieved</li><li>
Advise users while they debug: review training scripts, point out data issues, help reproduce model bugs; step in hands-on when a blocker persists</li><li>
Serve as a valuable interface to our cloud team and AI team, facilitating collaboration and support where needed</li><li>
Feed lessons learned back into both the NeuraGym product roadmap and the Neura core AI roadmap</li></ul>
What we can look forward to<ul><li>
Master&rsquo;s degree in Computer Science, Robotics, Electrical Engineering or related field</li><li>
3+ years 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</li><li>
Solid Python skills (C++ a plus); practical experience with PyTorch or TensorFlow 
Comfortable working directly with real robot hardware and associated middleware</li><li>
Cloud experience (AWS, Azure, or GCP) and experience with robotic simulation tools (IsaacSim, MuJoCo, etc.) is a plus</li><li>
Proven problem-solving abilities and ability to handle multiple projects in parallel</li><li>
Clear communicator who can translate between researchers, engineers and end-users. You have a good command of English and German language (B2 - C1 level)</li></ul></div>

Robotic Foundation Model Engineer – RoboGym (Human)

<div>As a Mechanical Engineering Operations Coordinator, you will work closely with the Head of Mechanical Engineering to improve the operational effectiveness of the Mechanical Engineering organization.
Rather than owning engineering design work yourself, you will ensure that projects, stakeholders, and day-to-day operations stay aligned and on track. You will coordinate priorities across multiple robotics product lines, facilitate communication between internal teams and external partners, and remove operational bottlenecks so engineers can focus on building great products.
This role is ideal for someone who enjoys bringing structure to complex environments, proactively solving problems, and keeping multiple workstreams moving simultaneously. You will become a trusted operational partner to the Mechanical Engineering leadership team and play a key role in enabling the department's success.<h2 class="jobSectionHeader">
Your mission &amp; challenges</h2><h3 class="jobSectionHeader">
Engineering Operations</h3><ul><li>
Coordinate day-to-day operational activities within the Mechanical Engineering department.</li><li>
Track project milestones, deliverables, and deadlines across multiple robotics product lines.</li><li>
Follow up on action items and ensure commitments are completed on time.</li><li>
Prepare status updates, reports, and management summaries.</li><li>
Support planning activities, resource coordination, and priority management.</li></ul><h3 class="jobSectionHeader">
Project &amp; Process Coordination</h3><ul><li>
Coordinate engineering reviews, approval processes, and cross-functional workflows.</li><li>
Collaborate with external development partners and suppliers to ensure smooth execution.</li><li>
Monitor open topics, identify potential delays, and proactively escalate risks.</li><li>
Drive operational improvements by helping establish efficient processes and documentation.</li></ul><h3 class="jobSectionHeader">
Stakeholder &amp; Partner Management</h3><ul><li>
Serve as a coordination interface between Mechanical Engineering, Supply Chain, Operations, Product Management, and external partners.</li><li>
Coordinate supplier communication and maintain productive working relationships.</li><li>
Support the management of NDAs, service agreements, and engineering-related documentation.</li><li>
Organize technical workshops, meetings, and follow-up activities.</li></ul><h3 class="jobSectionHeader">
Communication &amp; Reporting</h3><ul><li>
Prepare presentations for technical reviews, management updates, and executive briefings.</li><li>
Consolidate information from multiple stakeholders into clear decision-ready documents.</li><li>
Maintain project dashboards, action lists, and operational reporting.</li></ul><h3 class="jobSectionHeader">
Leadership Support</h3><ul><li>
Working closely with the Head of Mechanical Engineering, you will help ensure that strategic priorities remain visible despite a fast-paced operational environment.
</li><li>You will coordinate priorities, prepare information for decision-making, and ensure that important initiatives continue to move forward.</li><li>
You will serve as an operational coordinator for the Mechanical Engineering organization, enabling effective collaboration across teams and helping the department operate efficiently.</li></ul><h2 class="jobSectionHeader">
What we can look forward to</h2><ul><li>
Exceptional organizational and coordination skills with the ability to manage multiple priorities simultaneously.</li><li>
A proactive mindset - you anticipate issues before they become problems and enjoy creating structure.</li><li>
Experience coordinating projects, programs, or operational processes, ideally in an engineering, manufacturing, or industrial environment.</li><li>
Strong communication and stakeholder management skills across technical and non-technical teams.</li><li>
A structured, detail-oriented way of working combined with strong ownership.</li><li>
Technical curiosity and an interest in mechanical engineering or robotics. An engineering degree is beneficial but not required.</li><li>
Proficiency with modern productivity and AI tools (ChatGPT, Claude, Microsoft Copilot or similar), as well as PowerPoint, Excel, and common collaboration platforms.</li><li>
Excellent written and verbal communication skills in German and professional working proficiency in English.</li><li>
High integrity, professionalism, and discretion when handling confidential information.</li></ul></div>

Mechanical Engineering Operations Coordinator (human)

<div>NEURA's Computing Services team owns the full server, storage, and private cloud stack. As our Senior Private Cloud Engineer, you'll take full ownership of our private cloud environments &mdash; designing, operating, and evolving them as a platform that engineering and research teams can depend on. This is a role with real scope: end-to-end responsibility, full admin access across the stack, and a direct hand in shaping the private cloud environment at NEURA Robotics.
Your mission &amp; challenges<ul><li>
Own and operate NEURA's private cloud infrastructure end-to-end &mdash; from cluster architecture through day-to-day platform management</li><li>
Design and evolve the private cloud as an internal platform &mdash; standardised, self-service-capable compute for development, production, and research workloads across the company</li><li>
Take responsibility for all layers the platform depends on, including virtualisation, networking (VLANs, routing, SDN), storage, and identity integration</li><li>
Build and mature monitoring and observability across the platform, ensuring capacity transparency, alerting, and reliable incident detection</li><li>
Drive infrastructure automation using tools such as Ansible and Terraform; reduce manual toil through repeatable, auditable processes</li><li>
Own hardware lifecycle management, capacity planning, and high availability design for on-premises compute</li><li>
Work closely with Linux admins, Windows admins, and the storage engineer to define clean service boundaries within Computing Services</li><li>
Help shape the Computing Services function &mdash; your technical decisions and working practices will set the standard</li></ul>
What we can look forward to<ul><li>
Degree in Computer Science, Information Technology, or a related field &mdash; or equivalent professional experience</li><li>
Several years of hands-on experience owning and operating private cloud or hypervisor platforms at a senior level &mdash; including clustering, high availability, and storage configuration; you have owned the platform, not just operated it</li><li>
Strong Linux fundamentals at OS level &mdash; comfortable well below the hypervisor console</li><li>
Networking depth: VLANs, routing, SDN concepts, and firewall policy, sufficient to own the network configuration your platform requires without external hand-holding</li><li>
Experience delivering infrastructure as a self-service platform, or working in an IaaS/PaaS model for internal consumers</li><li>
Automation mindset with practical experience in Ansible, Terraform, or comparable IaC tooling</li><li>
Monitoring and observability experience relevant to compute infrastructure</li><li>
English proficiency at B2 level or above &mdash; working language across a multicultural team</li><li>
Relevant certifications (e.g. Nutanix NCP) are a plus</li></ul></div>

Senior Private Cloud engineer (Human)

Join NEURA Robotics and explore 16   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.