Simulink Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Simulink
Goran Popovic
Last position:
Test Manager & Analyst at Festo / Questax GmbH
Project goal: Carrying out system tests and validating industrial communication and control systems, including requirements definition and verification.
Responsibilities:
- Test planning, test execution
- Test strategy, test cases, and test specifications
- Requirements analysis
- Ensuring traceability between requirements, test cases, and defects
- Carrying out regression and integration tests
- Defect analysis
- Simulation and validation
- NetSniffer Wireshark
- Supporting test automation (Python, CI/CD)
- Reporting
- Stakeholder coordination and agile collaboration (Scrum / SAFe / Kanban)
- V-Model
- CI/CD automation with Python, Groovy, and frameworks (Selenium, PyTest)
Technologies:: CAN, Modbus, Ethernet, PLC, PROFINET, Codebeamer ALM, Scrum, SAFe, MS Teams, Git, CI/CD with GitLab CI and TeamCity, Windows Batch, FAS, Wireshark, Python, Enterprise Architect (EA), AI tools (e.g. ChatGPT, Microsoft Copilot), VS Code, Tia Portal, SCL, Python (Selenium, PyTest)
Kapil Bhayani
Last position:
Senior Embedded Systems Engineer at BMW group
Testing and verification of high-voltage systems
- Performed integration and system tests for control units in PHEV/EV vehicles using ECU-TEST (TraceTronic), Vector CANoe, CANalyzer, ETAS INCA, Tornado, E-Sys, and EDIABAS.
- Analyzed the interaction of high-voltage control units (including CCU, BMU, inverter, IPB, and IPF) and carried out software updates and flash processes to verify new software versions.
- Worked closely with software, system, and integration teams in an agile development environment to analyze issues and verify new software versions.
Saurabh Helambe
Last position:
Master Thesis, Simulation at AVL in Germany
- Engineered and validated a full-vehicle thermal management system in MiL simulation, achieving 95% correlation accuracy against real-world vehicle measurements, directly supporting virtual calibration and reducing dependency on physical test benches.
- Led end-to-end Model-in-the-Loop (MiL) simulation development using AVL CruiseM and MATLAB/Simulink, covering system architecture, parameterization, and validation.
- Acquired and analyzed vehicle sensor measurements (temperature, volumetric flow rate) using dSpace MicroAutoBox (HiL) and IPEmotion, translating raw data into actionable calibration insights.
- Calibrated and optimized critical actuators and thermal components - pumps, valves, electric heaters, heat exchangers, and refrigerant circuits and identified/integrated previously missing physical behaviors to close the gap between simulated and real vehicle performance.
- Designed and tuned an integrated actuator controller with precisely calibrated parameters, producing a high-accuracy virtual model adopted for downstream development use.
Lino Giefer
Last position:
Senior Data Scientist at VinFast Germany GmbH
- Led strategic software development of fusion algorithms for precise object tracking, trajectory prediction, and environment modeling based on multimodal sensor data (e.g., camera, LiDAR, radar, GNSS, IMU)
- Developed and implemented navigation algorithms for autonomous vehicles, including path planning, obstacle avoidance, and sensor fusion of visual, inertial, and distance-based sensor sources
- Automated extraction and training processes with CI/CD
- Developed and optimized data pipelines and processes in Microsoft Azure using Apache Spark, Databricks, and PySpark
- Developed and optimized embedded software for automotive control units
- Designed latency-critical software for real-time control in robotic systems with RTOS (freeRTOS, SAFERTOS)
- Used the Vector toolchain (CANdela, DaVinci, CANoe) for configuration and diagnostics
- Optimized existing data pipelines and processes (ETL, data warehouse, SQL)
- Developed and trained machine learning models using PyTorch
- Created deep-learning-based object detection and visual SLAM algorithms, trained on combined data from camera, LiDAR, and IMU sensors
- Implemented computer vision algorithms for object detection and classification in robotic systems using OpenCV and YOLO, utilizing synchronized image and depth data
- Implemented behavior-based control systems for autonomous robots using ROS2 Behavior Trees
- Performed testing, release, and integration of sensor fusion algorithms into automotive production programs
- Ensured adherence to proper software development processes and safety standards to guarantee high data quality (MISRA, ISO 26262, ASPICE)
Olfa Azzabi
Last position:
Senior Embedded Software Engineer / Function Developer at Enginius GmbH (FAUN GROUP)
- Developed model-based software for hydrogen tank control units using MATLAB/Simulink, aligned with ISO 26262 functional safety requirements
- Performed system integration and software verification across MIL and HIL environments using dSPACE and Vector tools
- Defined software architecture (SADS) with interface specifications for CAN, analog, and digital communication protocols
- Generated production-ready embedded C code using Simulink Embedded Coder; created and maintained A2L calibration files with CANape
- Designed and executed MIL/HIL test cases ensuring full coverage of functional and safety requirements
- Implemented CODESYS PLC applications on IFM ecomatController; applied CAN and Modbus TCP/IP communication protocols
- Contributed to HMI/UI development using Qt/C++ on Linux (Qt Creator)
- Applied agile Kanban workflow with Git-based version control (Bitbucket)
Tools: MATLAB, Simulink, CANape, CANalyzer, PCAN-View, Embedded Coder, CODESYS, TTC2038/PXROS, Codebeamer, Jira, Git
Shanna Tellaev
Last position:
Problem Resolution Manager at CARIAD SE (VW AG), formerly CARMEQ GmbH (VW AG)
- Automotive SPICE®: all assessments fully achieved
- Agile transformation: V-model → SAFe successfully implemented
- Series release: on-time, quality-assured software delivery for key Volkswagen Group models (including ECE homologation)
- Stakeholder management: internal & external
- Process optimization: implemented a continuous improvement process (CIP) with a tracking system
Achim B.
Last position:
Software Developer / Integration, Test & MBSE
- Integration of ADAS components in different project roles as integrator, tester and debugger, including BMW KAFAS4 camera system and ZF Full Range Radar.
- Connection and visualization of radar sensor data via ROS2 (Linux) to support sensor fusion and...
Björn Kunz
Last position:
Development Engineer Control Concepts at TU Chemnitz
- Development and validation of control concepts for grid stabilization with MATLAB/Simulink.
- Modeling of converters (VISMA), grids, and loads to study frequency and phase behavior during load steps.
- Analysis of the influence of inertia, damping, and controller parameters on stability, power output, and ROCOF.
- Development of adaptive control strategies to improve synchronization and dynamic grid support.
- Creation of automated simulation and evaluation tools to assess different scenarios and parameters.
S.r.k. Chandra
Last position:
Senior Software Engineer at STEPPS GmbH / Motherson Dr. Schneider
Project: Intelligent Light Communication Software — Audi
- Analysis and clarification of system requirements with the customer and translation into software architecture and design decisions
- Architecture and implementation of CAN FD and SPI communication on NXP S32K312
- Design and development of flash bootloader, flash driver, and boot manager for secure OTA-capable updates
- Configuration of the AUTOSAR BSW architecture (Dcm, Dem, NvM, BswM, Os, Mcu, Port, Com stack, Rtc) for portability and maintainability
- Design of the crypto stack (Csm, CryIf, Crypto) for secure flash and diagnostic data; integration of the NXP HSE core and wrapper layer
- Integration of customer-specific modules (Sfd, Ivd, Npm) into the Vector AUTOSAR stack
- Definition of the memory architecture: Memmap, CMake, and linker script configuration
- Leading board bring-up for the Audi light demo platform; implementation of diagnostic routines and identifiers
Kusay Tomeh
Last position:
Freelance System & Software Architect - DNA-Extraction Robot at QIAGEN GmbH
- System and software architecture for the QIA-symphony Connect DNA-extraction robot in Life Science / IVD automation.
- Designed features and control logic for extraction, pipetting, lysis and eluate modules using C++, PLC/ST (Beckhoff IPC / TwinCAT 3) and model-based concepts.
- Delivered ISO 13485-oriented requirements, architecture, unit/integration/regression tests and DHF/VEP/VER/TCL documentation.
- Used Polarion, Jira, Confluence, Azure and AI-assisted documentation to improve traceability and engineering efficiency.
Vaibhav Ganvir
Last position:
Expert Software & Functions Engineer at AVL Software & Functions GmbH
E-Drive Control
- Performed Model-Based Development (MBD) of application software (ASW) functions for E-Drive control using AVL & customer toolchains
- Translated product requirements into scalable, high-performance Simulink models for high-visibility projects, ensuring compliance with V-Model, AUTOSAR, ASPICE, ISO 26262, MAAB, MISRA, MXAM
- Automatic code generation (.c, .h, .arxml) using Embedded Coder
- Analyzed and derived system and ASW requirements, along with test cases, using PTC Integrity, CodeBeamer & PikeTec TPT
- Performed Verification & Validation of ASW using MIL/SIL/HIL, model/code coverage, exception report, req. & test case traceability
- Reviewed requirements, test cases and ASW, providing feedback to testing & development teams to drive bug fixes & improvements
- Created signals in Visu-IT-ADD & Vector DaVinci Developer Classic
- Documented ASW functions using Visu-IT-FunDoc & customer tool
- Updated enterprise architecture (EA) framework for system & ASW
- Created whitebox specifications for Inverter subsystem using Visio
- Commissioned & tested Inverters on Power HIL
- Mentored colleagues to foster collaboration & knowledge sharing
Krithika Chand
Last position:
Professional Reorientation at Von Rundstedt
- Engaged in a structured career development program while strengthening German language proficiency (B1 level) and evaluating opportunities in ADAS/AD systems and requirements engineering.
Jonathan Moreau
Last position:
On-Site Coordinator at Freelance
- Customer interface and relationship management
- Requirements management and work coordination
- Technical and functional support focusing on automotive Ethernet
Michael Löbbecke
Last position:
CTO at SNIPE Germany GmbH
Software service provider for AI solutions, automation, and custom software.
Team: built from 2 to 10 developers, 8 direct reports, partly remote · Portfolio: 6 parallel projects (€25k–€250k), scaling > €1M
- Ensured delivery capability for 6 parallel customer projects: role model, capacity planning (510–660 productive person-days/year), hiring roadmap with €380k–€440k/year personnel budget
- Established SDLC framework from scratch in under 6 months: REQ/SPEC structure, V-model gates, GitHub Issues as specification, Definition of Done, release process; consistent, auditable development process across all customer projects
- Prepared large program (3,000–4,000 person-days over 18 months) for decision readiness: AI-native industry platform for the construction sector; scoping, team profile for 8–10 developers, phase 0 budget €390k
- Designed and introduced self-hosted AI platform: vLLM, LiteLLM, Qdrant, Supabase; agent architecture, MCP integration, OCR pipelines; prepared GPU investment with break-even model (month 15–16)
- Systematized presales end to end: lead qualification with maturity scoring, discovery workshops, own sizing model, costing with loaded hourly rates, structured handover to development
- Tangibly improved the security level of a customer platform: penetration test incl. re-verification of all findings
Abdelrahman Hewala
Last position:
Research Assistant (WHK), FPGA Development – BrassSense Project at HAW Hamburg / Prof. Peter Schulz
- Real-time tone detection on FPGA (~20 ms latency target) using a filter bank architecture with a fuzzy-logic decision stage, avoiding FFT due to its window-length/frequency-resolution tradeoff.
- Responsible for system integration and architecture.
Discover over 15,000 top freelancers
Statistics of experts using Simulink
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
2.1 years
Positions per freelancer
10
Top business areas
Product Development, Research and Development, Quality Assurance
Top industries
Automotive, Manufacturing, Information Technology
Certification focus areas
Product Development, Quality Assurance, Information Technology
Bachelor's degree or higher
97%
Master's degree or higher
82%
Doctorate
15%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
98%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany 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 Germany using Simulink
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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Model-based design
Simulink is used to build and test dynamic systems before they go into production. Teams use it to create block diagrams, simulate behavior, and validate control logic early. It is common in work that needs traceable models, repeatable tests, and clear handover to implementation teams.
Where it fits
- Control systems and embedded software
- Signal processing and communications
- Electrified vehicles, robotics, and industrial automation
- Plant modeling, simulation, and verification
Simulink often sits inside a wider MATLAB workflow. Strong specialists know how to connect models with data, scripts, and test cases so the result is usable for design reviews and later development work.
Tooling around it
Good work with Simulink rarely stops at the model itself. Experts often use MATLAB, Stateflow, Simscape, Simulink Test, and code generation tools to move from concept to simulation and implementation. They also know how to keep models readable, modular, and easy to review.
When to bring in help
Companies bring in freelance specialists when a model is hard to extend, when simulation results do not match expectations, or when code generation needs to be stable. They also need help for audits, model cleanup, integration with hardware, or a short delivery window. In Germany, this is common in automotive, industrial, and systems engineering teams that already work with MATLAB and Simulink.
What strong specialists do
A strong Simulink professional understands both the engineering problem and the model structure. They can translate requirements into blocks, set up testable assumptions, and spot issues in solver settings, interfaces, and signals. They write models that other specialists can maintain without guesswork.
Good project signals
- You need a model reviewed or refactored
- You want simulation to match a real system more closely
- You need help with Stateflow or code generation
- Your team uses MATLAB/Simulink but needs extra capacity
For freelance work, clear inputs matter: requirements, sample data, target hardware, and expected outputs. That makes it easier to get reliable results and keep the model aligned with the product.
Frequently asked questions
Questions about Simulink? Start with the answers below.
Companies use Simulink to model, simulate, and validate dynamic systems before they are built or released. It is common for control logic, signal flows, and system behavior that needs to be tested in a structured way. Many teams also use it to prepare code generation and verification work.
Simulink is for block-based system modeling and simulation, while MATLAB is stronger for scripting, analysis, and data work. In practice, they are often used together because MATLAB supports model setup, data processing, and test automation. A good freelancer should know when each tool is the better fit.
Bring in a Simulink specialist when your model has become hard to maintain, your simulation results need validation, or your team lacks time for a delivery-critical task. Freelance support also helps when you need a short burst of expertise for model architecture, verification, or code generation. This is especially useful when internal experts are focused on hardware or product delivery.
The best Simulink professionals usually work comfortably with MATLAB, Stateflow, and Simscape. Depending on the project, they may also need signal processing, control theory, embedded systems knowledge, or code generation experience. Clear communication with software and hardware specialists is just as important.
It depends on the model, but Simulink work often benefits from someone who has handled full model lifecycles, not just block wiring. Simple simulation support is one thing; stable architecture, verification, and implementation support are another. The more critical the system, the more important deep practical experience becomes.
Yes, much Simulink work can be done remotely if the specialist has access to model files, requirements, and test data. Remote collaboration works well for model review, cleanup, verification, and most simulation tasks. On-site time can still help when hardware integration, lab access, or close team alignment is needed in Germany.
Look for clear model structure, sensible assumptions, and traces from requirements to tests in Simulink. Strong specialists explain design choices, keep models maintainable, and avoid hidden complexity. Ask for examples of verification work, code generation support, or model reviews rather than only a feature list.
No, Simulink is common in automotive and control work, but it is also used in robotics, industrial automation, communications, and other engineered systems. The right specialist can adapt the same modeling approach to different products and hardware targets. What matters is whether the project needs simulation, validation, or implementation support.
The average hourly rate of freelancers in Germany who have used Simulink in their recent projects is 84 €, which corresponds to a daily rate of about 668 € based on an 8-hour working day.
Of the freelancers in Germany who have used Simulink in their recent projects, 97% hold at least a Bachelor's degree, 82% hold at least a Master's degree, and 15% hold a doctorate.
On average, freelancers in Germany who have used Simulink in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Germany who have used Simulink in their recent projects are German (100%), English (95%), and French (20%).
The most common industries among freelancers in Germany who have used Simulink in their recent projects are Automotive (75%), Manufacturing (67%), and Information Technology (46%).
The most common business areas among freelancers in Germany who have used Simulink in their recent projects are Product Development (96%), Research and Development (77%), and Quality Assurance (73%).
Main locations of FRATCH Experts, who have recently used Simulink
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.
Munich 
Stuttgart Request a free demo
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Philipp Thomaschewski
FRATCH CEO
