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Simulink Experts in Germany

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Hire experts who model dynamic systems, develop control algorithms and connect Simulink with MATLAB, Stateflow and embedded targets. FRATCH precisely matches you with vetted, available freelancers for fast project delivery.

Meet FRATCH Experts in Germany, who have recently used Simulink

Verified expert

Kapil B.

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Senior Embedded Systems Engineer

Poing
Kapil B.

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.
Verified expert

Saurabh H.

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Mechatronics Engineer

Ingolstadt
Saurabh H.

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.
Verified expert

Lino G.

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Senior Machine Learning Engineer

Scharbeutz
Lino G.

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)
Verified expert

Olfa A.

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Embedded Software Engineer | Model-Based Software Design | HIL/SIL/MIL Validation

Hanover
Olfa A.

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

Verified expert

Shanna T.

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Problem Resolution Manager

Gifhorn
Shanna T.

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
Verified expert

Björn K.

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Development Engineer Control Concepts

Chemnitz
Björn K.

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.
Verified expert

S.r.k. C.

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Embedded Software Engineer | Classic AUTOSAR & Real-Time Embedded Systems

Coburg
S.r.k. C.

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
Verified expert

Kusay T.

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Engineer

Rülzheim
Kusay T.

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.
Verified expert

Vaibhav G.

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Development Engineer

Neutraubling
Vaibhav G.

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
Verified expert

Krithika C.

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Professional Reorientation

Garching
Krithika C.

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.
Verified expert

Jonathan M.

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On-Site Coordinator

Munich
Jonathan M.

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
Verified expert

Michael L.

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Interim CTO / CPTO | Technology & Process Consultant | SDLC, AI Infrastructure, Process Maturity

Lastrup
Michael L.

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
Verified expert

Abdelrahman H.

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FPGA / Embedded Software Engineer

Hamburg
Abdelrahman H.

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.
Verified expert

Oliver O.

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Embedded Software Engineering - Automotive

Kaufbeuren
Oliver O.

Last position:

Embedded Software Architect at Automotive supplier

Stellar SR6 G7 line, 32-bit Arm® Cortex®-R52+ MCU.

  • MISRA-C, C99, Greenhills ARM compiler
  • Dassault AUTOSAR Builder
  • EB Tresos
  • Sparx Enterprise Architect 16.1
  • VS Code
  • Python xml, lxml, NumPy and Pandas

ISO 26262, ISO 21434, hypervisor, key management, HSM. Tooling & automation. LieberLieber LemonTree + Sparx EA. Jira, Confluence, SharePoint. Git/Github. DevOps through Jenkins & Conan.

Discover over 15,000 top freelancers

Statistics of experts using Simulink

Aggregated from the professional profiles of matched freelancers.

Experience

16 years

Simulink experts in Germany have 16 years of professional experience on average.

Position duration

2 years

Simulink experts in Germany stay in a single position for 2 years on average.

Positions per freelancer

10

Simulink experts in Germany have completed 10 positions on average over the course of their careers.

Top business areas

Product Development, Research and Development, Quality Assurance

Simulink experts in Germany have gathered most of their hands-on project experience in Product Development, Research and Development, and Quality Assurance.

Top industries

Automotive, Manufacturing, Information Technology

Simulink experts in Germany are most in demand in Automotive, Manufacturing, and Information Technology.

Certification focus areas

Product Development, Quality Assurance, Information Technology

Simulink experts in Germany earn their certifications most often in Product Development, Quality Assurance, and Information Technology.

Bachelor's degree or higher

98%

98% of Simulink experts in Germany hold at least a Bachelor's degree.

Master's degree or higher

83%

83% of Simulink experts in Germany hold at least a Master's degree.

Doctorate

15%

15% of Simulink experts in Germany have a doctorate (PhD).

Certifications per freelancer

2

Simulink experts in Germany hold 2 professional certifications on average.

Most common languages

German, English, French

Simulink experts in Germany most often speak German, English, and French.

Speak two or more languages

98%

98% of Simulink experts in Germany speak two or more languages.

Based on our profile pool as of 19 Sep 2026.

Daily rate distribution

0 20 40 60 80
6 of the Simulink experts in Germany charge less than €400 per day.
53 of the Simulink experts in Germany charge between €400 and €800 per day.
26 of the Simulink experts in Germany charge between €800 and €1200 per day.
2 of the Simulink experts in Germany charge between €1200 and €1600 per day.
2 of the Simulink experts in Germany charge €1600 or more per day.
<€400 €400-​800 €800-​1200 €1200-​1600 €1600+

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.

800
600
400
200
Rate comparison chart
Daily rate avg. 666 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

800
600
400
200
Rate comparison chart
Median rate 640 €

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.

Simulink experts industry focus

See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.

  • Automotive (76%)
  • Manufacturing (69%)
  • Information Technology (46%)
  • Education (41%)
  • Energy (34%)
  • Aerospace and Defense (27%)
  • Healthcare (18%)
  • Professional Services (16%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

Modeling and simulation

Simulink is a graphical environment from MathWorks for modeling, simulating and analyzing dynamic systems. Teams use block diagrams to represent signal flows, physical behavior, control logic and real-time processes before moving designs into hardware. MATLAB and Simulink are commonly used together for mathematical analysis, parameter studies and automation.

Typical applications

Simulink supports development across automotive, aerospace, industrial automation, energy and medical technology. Experts use it to test behavior early, compare control strategies and create traceable models for complex products.

  • Model plant behavior and closed-loop control
  • Build and validate embedded control logic
  • Run scenario simulations and design studies
  • Generate code for supported targets

Ecosystem and tooling

The wider ecosystem includes Stateflow for state machines, Simscape for physical systems and specialized toolboxes for signal processing, robotics, communications and power systems. Strong specialists also work with MATLAB scripts, model-based testing, requirements workflows, version control and code-generation tools. They select solvers, define interfaces and keep models maintainable.

When companies hire specialists

Companies often bring in freelance Simulink expertise when a model must be created quickly, an existing control system needs validation or an embedded project is moving from simulation toward production. In Germany, this work appears in distributed teams as well as on-site programs that require close cooperation with hardware, testing and systems groups.

  • Convert engineering requirements into executable models
  • Refactor slow, unclear or difficult-to-test models
  • Prepare automated verification and validation workflows
  • Support model reviews and technical handovers

Delivery and integration

A Simulink project may include reusable subsystems, calibrated parameters, test scenarios, documentation and generated code. Professionals connect models with sensors, buses, hardware-in-the-loop environments and simulation data. They also manage numerical behavior, execution timing and interfaces with C or C++ components where required.

What strong experts bring

Experienced specialists understand both the model and the system it represents. They question assumptions, choose appropriate abstraction levels and explain simulation results clearly to technical and non-technical stakeholders. Quality work includes repeatable tests, controlled changes, meaningful diagnostics and a clear path from model behavior to verified implementation.

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Frequently asked questions

Questions about Simulink? Start with the answers below.

Simulink is used to model, simulate and test dynamic systems such as vehicle controls, industrial processes, aircraft systems and energy applications. Teams can evaluate algorithms and system behavior before deploying designs to embedded hardware.

Simulink focuses on graphical block-diagram modeling and simulation, while MATLAB is primarily a numerical computing and scripting environment. Modelica is often chosen for equation-based, multi-domain physical modeling, although Simulink can cover physical systems through Simscape and connect with MATLAB workflows.

A strong Simulink specialist often also knows MATLAB scripting, Stateflow, Simscape, control theory and model-based testing. Depending on the project, useful adjacent skills include C or C++, AUTOSAR, embedded targets, hardware-in-the-loop testing and requirements management.

The right level depends on the model's purpose, safety requirements and integration scope. A small simulation can suit a specialist with focused modeling experience, while production-oriented control systems require proven work with validation, code generation, target hardware and disciplined model governance.

Yes, much Simulink work can be completed remotely through shared repositories, simulation artifacts, issue tracking and regular technical reviews. On-site collaboration may still be useful when the assignment involves laboratory equipment, vehicle testing, restricted hardware or close coordination with German-speaking teams.

Simulink can support model-based design and generate code for suitable embedded targets when the model, configuration and target workflow are prepared correctly. A qualified specialist should also understand generated-code review, timing behavior, interface definitions and verification rather than treating code generation as an automatic production step.

Look for models that show clear structure, sensible abstraction, documented assumptions and repeatable tests. Ask how the specialist handled solver settings, calibration, version control, requirements traceability and validation against real or reference data.

A freelance Simulink expert is useful when a team needs focused capability for model creation, debugging, validation, migration or a delivery milestone. The specialist can also add value by reviewing an existing model, establishing reusable conventions or transferring knowledge to the internal team.

The average hourly rate of freelancers in Germany who have used Simulink in their recent projects is 83 €, which corresponds to a daily rate of about 666 € based on an 8-hour working day.

Of the freelancers in Germany who have used Simulink in their recent projects, 98% hold at least a Bachelor's degree, 83% 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 years.

The most common languages among freelancers in Germany who have used Simulink in their recent projects are German (100%), English (95%), and French (19%).

The most common industries among freelancers in Germany who have used Simulink in their recent projects are Automotive (76%), Manufacturing (69%), 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 (78%), and Quality Assurance (72%).

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.

Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

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