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# Robot Client SDK Engineer (Mensch)

- **Company:** Neura Robotics GmbH
- **Location:** Metzingen, Germany
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), C++ (Programming Language), Client Server Models, Sync (Unix), Python (Programming Language), Apache Maven, Prometheus, Data Streaming, Management of Software Versions, Data Logging, Doxygen, Backend, Sphinx, Laptops, Graphql, Api Design, Grpc
- **Published:** June 3, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=ce03b1181d757874

## About the Role

* Erfahrung mit Developer Experience für Plattform-SDKs - hat Client-Libraries für interne oder externe Nutzer gebaut und ausgeliefert
 * Fit in mindestens zwei der folgenden: modernes Python (Typing, asyncio, pyproject/wheels), modernes C++ (17/20, Async, Build-Systeme), Java (CompletableFuture, Maven)
 * Hands-on im gRPC-Ökosystem: protoc, buf, grpc-python, grpc-java, grpc-cpp - Erfahrung mit produktiven Clients
 * Multi-Language Packaging: manylinux Wheels, Conan/vcpkg, Maven Central - inkl. kompletter CI-Pipelines
 * API-Design Verständnis: gRPC/REST/GraphQL, Semantic Versioning, Deprecation-Strategien, Backwards-Compatibility
 * Erfahrung mit Doku-Tools: Sphinx, Doxygen, MkDocs - End-to-End Ownership der Dokumentation
 * Verständnis von Async-Patterns über Sprachen hinweg: Sync vs Async vs Streaming gRPC und deren Unterschiede in der Nutzung

Nice to have

 * Verständnis von Robotik oder Industrial Control, um über Latenz- und Timing-Themen mit Platform Engineers zu sprechen
 * Erfahrung mit Language Bindings für native Libraries (PyBind11, JNI, SWIG, cppyy)
 * OpenTelemetry Instrumentation Libraries in mehreren Sprachen umgesetzt
 * Grundverständnis von ROS 2 Client Libraries (rclpy / rclcpp)
 * Developer-Portals, API-Docs oder SDK-Tutorials für externe Entwickler erstellt

## Description

* protoc + buf Toolchain für Client-seitige Code-Generierung; CI-Pipelines generieren Clients bei jeder Proto-Änderung neu
 * Python Client SDK: idiomatische Wrapper mit Context Managern, Async/Await-Varianten, IDE-Autocomplete-Stubs, pip Wheels fürs interne PyPI
 * C++ Client SDK: RAII Channel Lifecycle, Async, sprachtypische Exception-Hierarchie, Conan/vcpkg Packages
 * Java Client SDK: Builder-Patterns für Requests, CompletableFuture, Maven Central Artifacts
 * Channel Lifecycle Handling über alle Sprachen hinweg: Timeouts, Deadline-Propagation, Reconnect-Logik, TLS/mTLS Konfiguration
 * Mapping von gRPC Status auf sprachtypische Exceptions: hierarchische Exception-Typen mit semantisch sinnvollen Subklassen
 * Client/Server Version-Skew Compatibility Tables - definierte Policies zur Versionskompatibilität, automatische Kompatibilitätstests
 * Semantic Versioning abgestimmt mit dem Platform Architect, Durchsetzung von Deprecation-Policies via Linter-Warnings, Migration Guides
 * Simulation-Mode im Client: gleiche Proto-Schnittstelle, aber Simulation-Backend für Offline-Entwicklung
 * Observability Hooks pro Sprache: strukturiertes Logging, OpenTelemetry Tracing Context, Prometheus Metrics
 * Referenz-Beispiel-Apps pro Sprache mit Best Practices: Pick-and-Place, Mode Switching, Fault Recovery, Telemetrie-Streaming
 * Automatisch generierte Doku pro Sprache: Sphinx (Python), Doxygen (C++), Javadoc (Java); Beispiele immer synchron zur API
 * Onboarding für interne Nutzer: Skill Bundles, Evaluierungs-Frameworks, R&D Notebooks, Demo-Apps - alles basierend auf deinen Templates
 * RFC-Co-Review mit dem Robot Platform Integration Engineer bei jeder Proto-Änderung


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