Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Senior Software Engineer

Backend EngineeringConfirmed live in the last 24 hours

Full-timeNo salary listedIn-person

About the Job

Requirements

At least 5 years of experience developing modern software systems in a DevOps-oriented environment.
Very good programming skills, ideally in TypeScript and Python.
A solid understanding of software architecture and system design, such as Domain-Driven Design, service-oriented systems, or Clean Architecture.
Experience with cloud platforms, ideally AWS, and knowledge of serverless and managed cloud services.
Practical experience with Infrastructure as Code, such as AWS CDK, Terraform, or comparable frameworks.
Experience with CI/CD systems such as GitLab CI, including build, test, and deployment automation.
Very good knowledge of Linux-based development and deployment environments and container technologies such as Docker.
Very good English skills.

Responsibilities

Design and take responsibility for Domain-Driven services on AWS, from API design through production operations.
Develop independent services across the full stack, including Infrastructure as Code, CI/CD, application code, monitoring, logging, and security controls.
Develop type-safe APIs and provide SDK packages and supporting tools such as CLIs or frontend applications.
Design data and processing workflows for large data volumes, including automated management of metadata and storage structures to support AI-based systems.
Continuously improve system reliability, observability, performance, and developer experience.
Support other teams with architecture, infrastructure, and automation questions, and collaborate closely with AI, robotics, and product teams.

Desired Qualifications

Experience with ROS or robotics software stacks.
German language skills.

Deine Mission & Herausforderungen

Design und Verantwortung für Domain-driven Services auf AWS – von API-Design bis zum produktiven Betrieb
Entwicklung eigenständiger Services über den gesamten Stack hinweg: von Infrastructure as Code, CI/CD und Applikationscode bis hin zu Monitoring, Logging und Security Controls
Entwicklung typsicherer APIs sowie Bereitstellung von SDK-Paketen und unterstützenden Tools wie CLIs oder Frontend-Anwendungen
Design von Daten- und Verarbeitungs-Workflows für große Datenmengen, einschließlich automatisierter Verwaltung von Metadaten und Speicherstrukturen zur Unterstützung KI-basierter Systeme
Kontinuierliche Verbesserung von Systemzuverlässigkeit, Observability, Performance und Developer Experience
Unterstützung anderer Teams bei Architektur-, Infrastruktur- und Automatisierungsfragen sowie enge Zusammenarbeit mit AI-, Robotik- und Produktteams

Auf was können wir uns freuen

Mindestens 5 Jahre Erfahrung in der Entwicklung moderner Softwaresysteme in einem DevOps-orientierten Umfeld
Sehr gute Programmierkenntnisse, idealerweise in TypeScript und Python
Fundiertes Verständnis von Softwarearchitektur und Systemdesign, z. B. Domain-Driven Design, serviceorientierte Systeme oder Clean Architecture
Erfahrung mit Cloud-Plattformen, idealerweise AWS, sowie Kenntnisse in Serverless- und Managed-Cloud-Services
Praktische Erfahrung mit Infrastructure as Code (z. B. AWS CDK, Terraform oder vergleichbare Frameworks)
Erfahrung mit CI/CD-Systemen wie GitLab CI, inklusive Build-, Test- und Deployment-Automatisierung
Sehr gute Kenntnisse in Linux-basierten Entwicklungs- und Deployment-Umgebungen sowie Container-Technologien wie Docker
Erfahrung mit ROS oder Robotik-Software-Stacks ist ein Plus
Sehr gute Englischkenntnisse, Deutschkenntnisse sind von Vorteil

About the Company

Neura Robotics

Cognitive robots with perception, manipulation, collaboration

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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