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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Integration & Distributed Systems Engineer - Mensch

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Robotics, Electrical Engineering, or a related field, or equivalent practical experience.
  • Several years of relevant experience designing and operating distributed real-time systems and APIs/SDKs, including hardening research or prototype code into production-ready services.
  • Strong modern C++ (C++17) skills and Python for tooling, with experience producing production-quality, tested code.
  • A solid understanding of inter-process communication, networking (TCP/IP), and real-time requirements.
  • Experience with robotics middleware (ROS 2 Humble, Fast DDS), high-throughput transport (gRPC/Protobuf), schema-based serialization and code generation (including binary schemas such as Protobuf), and multi-language SDK generation.
  • Experience with real-time streaming technologies such as WebRTC and WebSockets.
  • Comfort with containerized deployment and orchestration using Docker, Kubernetes, and Linux.
  • Practical familiarity with modern web development technologies, including TypeScript and a framework such as React, and how these consume APIs.
  • Familiarity with AI coding tools such as Claude Code, Cursor, or Copilot, and agent-based orchestration for development.
  • A product-development mindset, adaptability to changing product requirements, structured work habits, and clear technical communication.
  • Fluent English is required.

Responsibilities

  • Design the Cognitive Twin's API-first architecture and distributed communications layer, including transport, bidirectional real-time synchronization, and a symmetric control plane that makes operation of virtual and physical robots behave identically.
  • Design transport using gRPC/Protobuf microservices, compact binary real-time frames, and WebRTC media and data streaming, and build a low-latency, high-throughput bidirectional telemetry synchronization loop between live fleets and the Twin.
  • Build and maintain a single command path so the same control commands operate virtual and physical targets consistently, including under load.
  • Build connectors and real-time connections that keep the Twin and its simulator synchronized with surrounding robots, controllers, and services, including device-data ingestion with Fast DDS.
  • Design and own the cross-cutting API/SDK layer used by every area, and generate language-agnostic SDKs from the Scene Definition format so the Twin engine can be embedded in external developer environments.
  • Establish deployment standards covering service boundaries, backpressure, failure and reconnection semantics; instrument transport for latency and throughput; and harden services under load.
  • Own the binary data-exchange schema and Scene Definition format as shared boundaries between the frontend, SDKs, and simulation backend, as well as SDK ergonomics, the authentication model for programmatic access, and the backward-compatibility policy.

Desired Qualifications

  • Experience with gRPC-Web or Envoy.
  • Experience with CI/CD and release engineering for distributed services.
  • Prior experience developing software for real robots, from control loops to device drivers and middleware.
  • Open-source contributions in robotics or middleware.
  • German language skills.

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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