ROS Experts in Munich
matched with vetted, available freelancers in minutesHire experts who connect sensors, motion control and robotic perception with ROS, ROS 2 and simulation tools such as Gazebo. Find specialists for autonomous systems, industrial robotics and research platforms through fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Munich, who have recently used ROS
Narges D.
Last position:
Research Assistant at Hochschule München
Introduced an integrated approach for structural damage detection across concrete, steel, and glass using advanced technologies such as LiDAR and thermal imaging. Highlighted cross-material interactions to enhance diagnostics and enable predictive maintenance.
Developed an NLP-based medical note simplifier that transforms complex clinical instructions into plain, child-level English. Applied prompt engineering with Flan-T5 transformer models to extract patient-relevant actions and rephrase them into clear to-do items. Built dual Flask and Tornado backends with a printable web interface.
Andreas B.
Last position:
Project Lead, Digital Transformation at SV Linde Tacherting e.V.
Researched, developed, and implemented comprehensive digital strategy to modernize and accelerate processes of sports club with approximately 1300 members.
System Architecture & Implementation: Conceived and set up central cost- and energy-efficient ARM-based server infrastructure.
Selected, installed, and configured open-source solutions for knowledge management, ticket booking, and member management.
Stephan S.
Last position:
Senior Data/ML Consultant & Technical Lead at Jolin.io
Role: Software Engineer & Applied Mathematician (Mathematical optimization for scheduling; duration: 1 months; team setting: Team of 2, remote; technologies: JuMP, Julia, Pluto, Svelte, JavaScript, TypeScript, JetBrains Space, Terraform, Nomad)
Role: Software & Cloud & Web Engineer (Building scalable data science compute cluster from scratch; duration: 11 months; team setting: Team of 1, on-site; technologies: Terraform, Kubernetes, k8s ingress, k8s services, k8s RBAC, k8s networking, k3s, etcd, S3, DNS, certificates, Julia, Pluto, JavaScript, Tailwind, Astro, npm, Parcel, Preact, MUI, JWT, AWS SQS, AWS RDS, Python, GitLab, GitHub)
Role: AI & Web Engineer (Custom ChatGPT service; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Poetry, LangChain, Tailwind, ChatGPT API, Flask, FastAPI)
Role: Architect & Data Engineer (Central datalake setup and ingestion; duration: 9 months; team setting: Team of 5, remote; technologies: Infrastructure-as-code, AWS CDK, Python, Boto3, PySpark, AWS Glue, IAM, S3, ECS, Fargate, Lambda, Apache Hudi, DeltaLake, Databricks, GitHub, Jira, Miro)
Role: Software Engineer (PoC Julia migration of scikit-decide; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Julia, GitHub)
Vasco A.
Last position:
AI Research Intern – Generative AI at BMW AG
- Designed and implemented multi-modal entertainment toolchains that combine passenger input, vehicle context, large-language models (text-to-text and speech-to-speech) and image generation models to deliver more interactive and immersive in-car experiences.
- Built and orchestrated tools for LLM-based agents, covering session management, background task execution, dynamic user interactions and persistent application state.
- Investigated multi-agent orchestration frameworks for in-car environments, evaluating communication protocols and architectural strategies for coordinated and reliable agent behavior.
Daniel C.
Last position:
Founder & Managing Director at BotCraft GmbH
- Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
- Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
- Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
- Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
- Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)
Ehsan Z.
Last position:
Freelance Robotics Software Engineer at Independent Contractor
- Developed and deployed custom ROS2 nodes for real-time LiDAR-IMU fusion using R3Live++ on ARM64 hardware (Docker, CMake)
- Configured IMU, camera, and LiDAR drivers for proper data timing and formats to enable real-time 3D mapping with R3Live
- Built complete simulation stack for quadrotor UAVs: Ardupilot SITL + ROS2/DDS + Gazebo Harmonic + YOLOv8 detection
Madhava N.
Last position:
Function Developer ADAS at Continental Automotive GmbH through Ferchau GmbH
- Project: Sensor fusion application for traffic participant detection
- Software frameworks: C++ (11,14), Python, Visual Studio, MTS, Qt, GitHub, Jenkins, JIRA, Confluence, Conan, CAN, RTOS, DOORS, CMake
- Refactored and adapted sensor fusion algorithms by processing sensor data (camera and radar) for ACC and EBA as per requirements
- Handled system test issue reports in JIRA
- Tuned Kalman filters and introduced new features to enhance tracking
- Adapted architecture, detailed design (UML) and simulation tool (Qt)
- Conducted unit testing, code reviews and static code analysis in compliance with MISRA standards
- Conducted regression testing to validate software, involved in software releases (CI/CD), KPI evaluation by testing NCAP scenarios
- Flashed ADAS software to target vehicles, used UDS protocol and OBD-II tools for diagnostics and verification
Adithya B.
Last position:
Edge AI Software Engineer at Neura Robotics GmbH
- Deployed and optimized Vision-Language-Action (VLA) and diffusion policy models on NVIDIA Jetson Orin and Jetson Thor, meeting real-time inference latency targets for humanoid robot control loops.
- Built TensorRT engine pipelines (PyTorch → ONNX → TensorRT) with INT8/FP8 post-training quantization, calibration dataset design, and quantization-aware validation, reducing inference memory footprint by over 3× on Jetson without accuracy regression.
- Developed custom CUDA C++ plugins and CUDA Graphs for latency-deterministic, real-time policy execution – meeting hard runtime and memory constraints on embedded GPU targets.
- Developed an inference engine for VLA models on top of llama.cpp bringing different VLA policies under single runtime, packaging each as a single self-contained GGUF that needs no Python or PyTorch.
- Profiled and tuned GPU execution using NVIDIA Nsight Systems and Nsight Compute, identifying CUDA kernel bottlenecks, memory bandwidth saturation, and SM occupancy issues across Jetson Orin and Thor compute profiles for cross-layer performance optimization.
Discover over 15,000 top freelancers
Statistics of experts using ROS
Aggregated from the professional profiles of matched freelancers.
Experience
12 years
Position duration
2.4 years
Positions per freelancer
6
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Automotive, Information Technology, Education
Certification focus areas
Information Technology, Logistics, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
100%
Doctorate
13%
Certifications per freelancer
2
Most common languages
English, German, Spanish
Speak two or more languages
100%
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Munich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Munich using ROS
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
ROS experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Automotive (75%)
- Information Technology (75%)
- Education (63%)
- Healthcare (38%)
- Manufacturing (38%)
- Transportation (25%)
- Professional Services (25%)
- Aerospace and Defense (13%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Robotics middleware
ROS, short for Robot Operating System, is an open-source framework for building robotic applications. It provides communication between sensors, controllers, algorithms and user interfaces through nodes, topics, services and actions. ROS 2 extends this model with DDS-based communication, stronger support for distributed systems and improved deployment options.
What ROS builds
ROS is used for autonomous mobile robots, robotic arms, service robots, drones and research platforms. Companies use it to combine perception, planning and control without creating every software component from scratch.
- Autonomous navigation and mapping
- Sensor fusion for cameras, lidar and IMUs
- Manipulation, grasping and trajectory planning
- Robot fleet coordination and monitoring
Ecosystem and tooling
A strong ROS professional works with packages, launch files, parameters, transforms and message definitions. Common tools include RViz, Gazebo, rosbag, tf2, MoveIt and Nav2. Depending on the project, expertise may also cover C++, Python, Linux, Docker, real-time systems and embedded hardware.
When companies need support
Freelance expertise helps when a robotics team must integrate unfamiliar hardware, migrate from ROS to ROS 2 or prepare a prototype for field testing. Specialists can structure a reliable workspace, select suitable packages and connect robotic software with PLCs, cloud services or manufacturing systems. Munich-based projects may benefit from professionals who can collaborate on-site with hardware teams while keeping software work remote.
What good implementation requires
ROS applications need more than working demonstrations. Strong professionals define clear interfaces, manage coordinate frames correctly and test behavior under sensor noise, network delays and hardware faults. They separate reusable packages from application logic and document launch, configuration and deployment procedures.
- Reproducible simulation and hardware tests
- Safe recovery and diagnostic behavior
- Versioned interfaces and configuration
- Measured performance on the target robot
Choosing the right specialist
Match the specialist to the robot, operating environment and delivery stage. A perception-heavy platform may need experience with computer vision and lidar, while an industrial arm project may depend more on MoveIt, calibration and safety integration. Ask for evidence of shipped robotic systems, not only familiarity with package names, and clarify language needs for collaboration with local teams in Munich.
Frequently asked questions
Before you brief your next project: the most common questions about ROS.
ROS is used to connect robotic software components and coordinate sensors, perception, planning, control and user interfaces. It supports applications such as autonomous vehicles, mobile robots, robotic arms, drones and research platforms. A specialist can help turn separate algorithms and hardware drivers into a testable system.
ROS 2 is the newer generation of the Robot Operating System and is designed for distributed, production-oriented systems. It uses DDS for communication and adds stronger support for real-time behavior, security, embedded devices and varied deployment environments. The right choice depends on existing packages, hardware, reliability needs and the project roadmap.
A company should hire a ROS specialist when it needs to integrate sensors, plan robot motion, migrate to ROS 2 or stabilize a prototype for real-world testing. Specialist support is also useful when internal teams lack experience with transforms, message interfaces, simulation or hardware deployment. The scope can range from a focused integration task to ownership of the robotics software architecture.
A strong ROS freelancer often brings C++, Python and Linux skills alongside robotics knowledge. Useful adjacent capabilities include computer vision, lidar processing, SLAM, navigation, MoveIt, Gazebo, embedded systems, Docker and industrial communication. Experience with calibration, diagnostics and safety-oriented testing is especially valuable for physical robots.
The required ROS experience depends on the robot, delivery stage and risk of failure in the operating environment. A simulator prototype may need package integration and basic launch management, while a deployed robot requires deeper skills in testing, timing, recovery behavior and hardware troubleshooting. Evaluate comparable systems and deliverables rather than relying on a generic experience label.
Much of ROS software work can be done remotely through simulation, recorded sensor data, version control and remote access to test hardware. On-site collaboration becomes more important for wiring, calibration, mechanical changes and debugging behavior on the physical robot. For teams in Munich, clarify access arrangements and whether German or English is needed for daily coordination.
ROS is often compared with proprietary robotics frameworks, vendor SDKs and custom middleware. It offers a broad open-source ecosystem and reusable packages, while a vendor-specific stack may provide tighter integration with one robot family. The best option depends on hardware diversity, licensing, support requirements, real-time constraints and the need to reuse community components.
Ask a ROS professional to explain a shipped system, its interfaces, failure modes and test strategy in concrete terms. Look for clear handling of tf2 frames, lifecycle and launch configuration, simulation-to-hardware differences, logging and recovery behavior. A quality specialist can also explain trade-offs without hiding behind package names.
The average hourly rate of freelancers in Munich, Germany who have used ROS in their recent projects is 98 €, which corresponds to a daily rate of about 787 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used ROS in their recent projects, 100% hold at least a Bachelor's degree, 100% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Munich, Germany who have used ROS in their recent projects have 12 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Munich, Germany who have used ROS in their recent projects are English (100%), German (88%), and Spanish (25%).
The most common industries among freelancers in Munich, Germany who have used ROS in their recent projects are Automotive (75%), Information Technology (75%), and Education (63%).
The most common business areas among freelancers in Munich, Germany who have used ROS in their recent projects are Information Technology (100%), Product Development (100%), and Research and Development (100%).
Main locations of FRATCH Experts, who have recently used ROS
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Countries:
Berlin Hamburg 
Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
