Test Bench Experts in Germany
matched in minutes from over 15,000 CVs with the power of AIWork with specialists who configure hardware-in-the-loop test rigs, write automated test sequences, and validate complex embedded electronics. FRATCH instantly matches your technical requirements with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Test Bench
Thomas P.
Last position:
Lifting Device Designer at TP-Produktdesign
- Design of a 3-point quick coupling for tractor lifting attachment
- Development of a holder for a drawbar flange device
Peter S.
Last position:
Senior ML Engineer & AI Researcher at Anonymous Client
Project: Defect Generation on Test-Bench Images of Metal Surfaces Environment: Automated Visual Inspection (AVI), Metallurgy & Manufacturing
- Objective & Implementation: Designed, architected, and trained Generative Adversarial Networks (Pix2PixHD / SPADE) for image-to-image transformation. Targeted generation of synthetic material defects (e.g., cracks, inclusions, scale) on rough metal surfaces under real test-bench lighting conditions for privacy-compliant and efficient dataset expansion (data augmentation).
- Technical Design: Implemented robust Generative AI and computer vision pipelines in Python and PyTorch. Used semantic segmentation approaches for mask-controlled defect synthesis and subsequent evaluation with EfficientDet object detection models.
- Business Impact: Massive dataset upscaling (10x) without time-consuming and costly physical test-bench runs, while significantly improving the detection performance of automated inspection systems.
Technologies & Skills Used: Python | PyTorch | SPADE | Pix2PixHD | EfficientDet | Machine Learning | Semantic Segmentation | Computer Vision
Muhammad Tanveer B.
Last position:
Embedded Systems Consultant / Architect | Integration and Validation Engineer / Manager at Ingenieurbüro Baig
Led the hardware development and validation of a safety-critical 400-V battery management system (BMS) for the TOGG SUV program; performed system architecture reviews, schematic validations, EMC and reliability tests, and root cause analyses in compliance with relevant automotive standards (ECE-R10, CISPR25, ISO-26262). Coordinated cross-country EU engineering teams, customer reviews, and technical documentation to deliver a production-ready, validated system.
Architected and integrated 22 state-of-the-art ADAS validation vehicles for BMW ADCAM and LIDAR programs at Magna Electronics; synchronized up to 26 heterogeneous sensors (LIDAR, RADAR, cameras, GNSS/INS) using PTP-based timing architectures. Defined the system architecture, HW/SW interfaces for hardware-in-the-loop (HIL) rework, sensor integration strategies, and data acquisition frameworks. This enabled scalable vehicle-level validation, improved validation efficiency by 25%, and reduced project costs by €1.45 million.
End-to-end validation and integration of automotive radar platforms for a Daimler project at Continental. Developed automated open-loop hardware-in-the-loop (HIL) environments to accurately test target tracking KPIs, field-of-view limits, and thermal and voltage-related ECU state machines. Skilled use of a highly complex toolchain consisting of CANoe, Lauterbach Trace32, RADAR target simulators, and EMC shielding chambers for RF and system validation. Synchronized global, interdisciplinary teams to speed up troubleshooting and close critical technical gaps.
Reconstructed and validated the product architecture of an electromechanical e-bike by integrating and troubleshooting critical subsystems (BMS, motor control, sensors, HMI, electronic locking systems). Built a comprehensive system-level test bench for functional testing, fault reproduction, and performance analysis; coordinated suppliers and implemented corrective actions to improve reliability and traceability.
Defined the system architecture and validation strategy for a LIDAR platform developed in cooperation with Elmos Semiconductor; evaluated optical measurement concepts, SPAD detector integration, and system requirements, and created technical recommendations for product development and verification.
Developed LabVIEW-based automation and verification software for a high-precision hydraulic and electromechanical test system for FTE Automotive; integrated NI DAQ hardware for high-frequency real-time capture of physical measurements. Developed automated test sequences, programmable endurance tests, troubleshooting routines, data logging, and analysis tools to improve test efficiency and traceability.
Successfully delivered full engineering life cycles for well-known industrial customers (Magna, Continental, Farasis, FTE Automotive, BMW, Daimler, TOGG) – from requirements engineering and proof of concept to system integration and validation, technical documentation, supplier coordination, and user training.
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
Felix S.
Last position:
App Developer at XIXUM-Modeler
- Developing a model-based AI where natural language is interpreted as formal relations.
- Natural language terms are not considered rigid but fluid and can be negotiated in a context so meaning resolves by iteratively specifying.
- Develops all kinds of model solutions.
- Backed by natural language and data annotation.
- Requirements to code and other solutions.
Jens-Uwe P.
Last position:
Architecture and programming for an automotive test bench platform at Automotive supplier
In this project, I was responsible for designing and implementing a new, modular, and highly scalable test bench platform for an automotive supplier. My focus was on developing a robust system architecture and programming the associated software, with UML modeling used consistently throughout. This structured approach significantly increased the reusability of individual LabVIEW test modules and sustainably reduced development time for subsequent projects. I also integrated modern automotive standards such as CAN FD, LIN, and safety requirements, making the solution future-proof.
Technologies: LabVIEW, Visio, UML, CAN FD, LIN, DMM, Safety, Image processing, Project management, HMI, C#, C++, Python, Rust, CI
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.
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
Evrard A.
Last position:
Senior Embedded Software Tester at Bosch GmbH
- Ensuring system maturity and operational readiness across the entire lifecycle of automotive products in line with ASPICE and internal quality processes
- Analyzing system behavior and system performance to identify inefficiencies, integration issues, and gaps in diagnostic coverage
- Supporting project milestones in the development cycle by validating system interactions, configurations, and boundary conditions
- Deriving test specifications from software and system requirements
- Implementing test cases with RobotFramework and Python
- Close collaboration with system, software, hardware, and calibration teams to ensure stable and high-performance system behavior before release
- Performing end-to-end system performance analyses using endurance tests and automated evaluation of results with Python and RobotFramework
- Introducing KPI-based system monitoring and performance analysis, as well as building automated evaluation and feedback pipelines
- Organizing and moderating cross-functional debugging and integration workshops
- Successful integration and validation of system and software components for series truck platforms, along with lasting improvements in performance quality, test quality, and integration stability
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.
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
Alexander K.
Last position:
Software Tester at Buhl Tax Service GmbH
- AI-assisted creation of test cases and test data
- Creation of test cases based on requirements
- Execution of manual tests
- Defect documentation, retesting and tracking
Technologies & Tools: SCRUM, Jira, Confluence, Zephyr Scale
Manuel S.
Last position:
Freelance Mechanical Engineer at IBS Ingenieurbüro Sureck
Engineering services
Sunish B.
Last position:
AtlasMind - Production AI assistant for Jira at Mercedes Benz Innovation Labs Gmbh
- Converts natural language into JQL using RAG and pgvector. Returns structured JSON with a query, chart spec, and plain-text answer. A two-stage router answers general questions without touching the JQL pipeline at all.
- Interchangeable LLM backends: Ollama, vLLM, Groq, Anthropic Claude, AWS Bedrock - switchable at runtime, no code changes. Self-healing JQL: on Jira validation failure, feeds error back to LLM, retries up to 4 times. OCI Vault for secrets. Deployed on Oracle Cloud A1 with GPU inference over Tailscale private network. Open source.
Sven R.
Last position:
Software Developer - Building Automation
- Test controller unit
- Implement test environment
- Implement virtual nodes
- Commission CANopen network
- Define and automate test cases
- Design and implement LSS state machine
- Implement data exchange between tools
- Port requirements to vTestStudio in XML format
- Products: CANoe, vTestStudio, Playwright, Cypress, Robot, .NET
- Knowledge: CAPL, C++, CANopen, concept development, Python, JavaScript, XML, C#
Discover over 15,000 top freelancers
Statistics of experts using Test Bench
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
3.3 years
Positions per freelancer
12
Top business areas
Product Development, Quality Assurance, Project Management
Top industries
Automotive, Manufacturing, Information Technology
Certification focus areas
Quality Assurance, Product Development, Information Technology
Bachelor's degree or higher
90%
Master's degree or higher
68%
Doctorate
8%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
99%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Germany using Test Bench
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Test Bench experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Automotive (88%)
- Manufacturing (81%)
- Information Technology (47%)
- Aerospace and Defense (25%)
- Education (25%)
- Energy (22%)
- Telecommunication (21%)
- Healthcare (17%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Hardware-in-the-Loop and Automated Verification
A test bench, often referred to as a test rig or Prüfstand, provides a controlled environment to verify electronic control units, mechanical assemblies, and embedded firmware. Specialists design these environments to simulate real-world physical signals, load conditions, and communication interfaces. Automated test execution identifies regressions early and validates system safety before production rollout.
Core Technologies and Tooling Ecosystem
Modern verification setups depend on specialized runtime platforms and measurement instrumentation. Experienced professionals integrate diverse software and hardware components to build robust verification pipelines:
- NI LabVIEW, TestStand, and VeriStand execution engines
- Vector CANoe, CANalyzer, and vTESTstudio toolchains
- dSPACE SCALEXIO and MicroLabBox simulation platforms
- Python, CAPL, and C++ scripting for automated test cases
- Bus protocols including CAN FD, LIN, FlexRay, and Automotive Ethernet
Typical Project Engagements
Organizations build custom testing setups across various phases of product maturation. Common initiatives include setting up end-of-line test systems for manufacturing, building automated hardware-in-the-loop simulators for powertrain controllers, and retrofitting legacy test rigs with modular data acquisition modules. Professionals also establish automated calibration routines and continuous validation pipelines linked directly to version control systems.
Industrial Applications Across Germany
In Germany, verification rigs are critical infrastructure for automotive original equipment manufacturers, industrial automation suppliers, and medical technology producers. Development hubs in Baden-Württemberg and Bavaria rely heavily on hardware-in-the-loop setups for functional safety compliance under ISO 26262. Freelance specialists bridge temporary knowledge gaps during model changeovers and platform migrations.
Key Competencies in Test Automation
Top specialists combine electrical engineering expertise with rigorous software development standards. They understand signal conditioning, sensor emulation, fault insertion units, and high-frequency data logging. Strong professionals prioritize modular architecture, ensuring that test scripts remain maintainable, reusable, and thoroughly decoupled from specific underlying measurement hardware.
Delivering Reliable Verification Environments
Engaging external verification professionals ensures that complex test rigs meet demanding throughput and accuracy requirements. Specialists deliver reproducible test sequences, clean hardware abstraction layers, and clear documentation. Their intervention minimizes physical prototype destruction, shortens commissioning times, and accelerates formal validation cycles across multidisciplinary teams.
Frequently asked questions
Key details about Test Bench, drawn from the questions we get asked most.
An automated test bench provides a deterministic setup to validate embedded devices, control modules, and mechanical components under synthetic real-world conditions. It replaces physical plant prototypes with electrical simulation, enabling round-the-clock hardware-in-the-loop testing, boundary checking, and fault injection.
Purely virtual testing uses mock environments or software-in-the-loop simulations executed entirely on a computer. A physical test rig interfaces directly with the real target hardware and actual input-output pins, capturing physical effects like signal jitter, thermal behavior, impedance mismatches, and bus transceiver latencies.
Most projects rely on National Instruments TestStand and LabVIEW, Vector CANoe, or dSPACE tools for real-time control and data acquisition. Specialists using a test bench environment also write test automation suites using Python, CAPL scripts, and C++ to control power supplies and measurement instruments.
Conceptual test architecture, software scripting, and data analysis can occur remotely, but commissioning requires presence at the lab or plant. In Germany, organizations typically arrange a hybrid setup where the test rig specialist spends key milestones on-site to handle wiring, harness integration, and physical sensor calibration.
Depending on the sector, an industrial Prüfstand must align with strict regulatory guidelines such as ISO 26262 for functional safety in automotive or IEC 61508 for industrial control systems. Specialists structure test traceabilities and test case coverage to satisfy mandatory audit requirements.
Technical documentation, test scripts, and system architectures are standardly maintained in English across international teams. However, working on a physical test bench in manufacturing plants or test centers in Germany often requires conversational German to coordinate effectively with local lab technicians and electricians.
Look for proven hands-on delivery with specific real-time hardware platforms and bus protocols relevant to your architecture. A proficient test bench professional demonstrates strong signal diagnosis capabilities, follows clear software design patterns for test scripts, and understands safety interlocking mechanisms.
Basic test execution can be managed by junior personnel, but architecting a multi-channel hardware-in-the-loop setup requires senior expertise. Designing modular signal routing, managing real-time constraints, and integrating complex vehicle network architectures demand professionals who have tackled multiple end-to-end commissioning cycles.
The average hourly rate of freelancers in Germany who have used Test Bench in their recent projects is 87 €, which corresponds to a daily rate of about 700 € based on an 8-hour working day.
Of the freelancers in Germany who have used Test Bench in their recent projects, 90% hold at least a Bachelor's degree, 68% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers in Germany who have used Test Bench in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 3.3 years.
The most common languages among freelancers in Germany who have used Test Bench in their recent projects are German (100%), English (94%), and French (13%).
The most common industries among freelancers in Germany who have used Test Bench in their recent projects are Automotive (88%), Manufacturing (81%), and Information Technology (47%).
The most common business areas among freelancers in Germany who have used Test Bench in their recent projects are Product Development (97%), Quality Assurance (83%), and Project Management (68%).
Main locations of FRATCH Experts, who have recently used Test Bench
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
