Arm Experts in Germany
, matched with vetted freelancers in minutesHire experts who design embedded Linux systems, optimize ARM64 workloads and bring Cortex-based products from prototype to production. FRATCH finds the right vetted, available freelancer through fast, precise AI matching.
Meet FRATCH Experts in Germany, who have recently used Arm
Jens R.
Last position:
Platform Architect & Senior Developer at Direct client, industrial measurement technology, medium-sized company
- Technical leadership across hardware, firmware, and software teams; scope: hardware/firmware team (4 people) and leadership group (5 people)
- Consolidated and documented a product family that had grown over more than 15 years and aligned it with CRA compliance — from the bare-metal I/O module to the cloud interface.
- Provided the most important customer product with the essential requirements and architecture documentation within two months — for a firmware landscape that had grown over more than 15 years. It now supports the customer’s modernization strategy.
- Established a monthly reporting line to the supervisory board and executive board within three months: nine meetings since 12/2025. The report itself is versioned and built from the CI pipeline; it is based on automatically collected activity and release data instead of assessments.
- Built a container-based CI/CD infrastructure from scratch: cross-compilation, host tests, and documentation builds in one continuous pipeline.
- Introduced declarative QA gates for DevOps and development artifacts — from the start using lefthook instead of pre-commit, executed in a dedicated container image.
Technologies used: arc42, req42, tpo42, docToolchain, PlantUML, ArchiMate, C4 model, ADR, C, C++ (GTest), CMake, Bare Metal (ARM Cortex-M3/M7), OCI containers, Jenkins, lefthook, Prometheus, Grafana, SBOM, CRA, OPC, SCADA, PLC integration, IPv6 migration, Zero Trust, Sociocracy 3.0, Cynefin
Matthias S.
Last position:
Software Developer and Consultant at CLADE GmbH
- Analysis of the existing CAN communication between microcontrollers
- Analysis of the sensors used and the measured values collected
- Planning the CAN messages for transmitting the measured values
- Iterative adjustment of the microcontroller code to the new CAN messages
- Cross-compilation from x64 to arm64
Minh D.
Last position:
Project Manager / Business Analyst / Application Manager at Finance and Insurance
Introduction of 5 different process applications for different teams
Release planning: scope and time management
Resource/capacity planning
Conducting Sprint Planning / retrospectives
Increment planning (several sprints)
Preparation of Steering Committee meetings / reporting to the Board
Coordination / alignment with external suppliers / deliveries
Resource planning for multiple projects
Coordination with business department and development team
Identification of best practices with IBM BAW
Cost control and planning for the project team and external service providers
Collection of KPIs using LogScale
Analysis of application errors with LogScale / Queries
User Story definitions / coordination of requirements with the business department and development team
Testing and defect tracking
UI/UX design of applications
Preparation and moderation of Brown-Paper workshops
Test concept, test data, test organization, test execution
Collection of team velocity / metrics
Test execution
Script for automated testing
Test organization with business department and IT
Recording and prioritization of defects
Establishment and operation of the application
Establishment of application monitoring with LogScale Dashboards
Checking health endpoints with PowerShell
Post Mortem analysis
Establishment of Incident Management
Establishment of Problem Management
Analysis of errors using LogScale Queries and Dashboard
Pre-processing of data for AI
Evaluation using AI language models (Meta Llama 3.3 LLM and deepset Haystack) and RAG
Installation of runtime environments for LLMs (Large Language Model)
Evaluation of various LLMs
Installation of RAG (Retrieval Augmented Generation) and integration with LLM
Extraction of unstructured data with LLM and RAG
Project based on IBM BAW (Business Automation Workflow), Websphere Liberty, Domea, d.3, REST, LogScale (formerly Humio), Swagger, Powershell, JIRA, Confluence, Lucom Interaction Platform (LIP), Mattermost, Jabber
Hendrik W.
Last position:
Software Test and Maintenance Support at Anton Paar ProveTec GmbH
- Adding/creating test specifications
- Performing regression tests
- Performing release tests
- Analyzing Jira tickets
- Identifying software defects and fixing them with C#
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.
Valery K.
Last position:
Sr. Data Scientist & Engineer at Virtual Minds
- Development High-Performance ad distribution via auction
- Holistic (multi-campaign & multi-channel) advertisement placement optimization
- Algorithmic optimization for NP-Hard/NP-e
- Multiple Knapsack Problem with constraints
- Online estimation of parameters in stochastic environments
Tools: Python, R, Kotlin, MILP/SAT/CP Solvers, Pytorch, Pandas, Docker
Waqar A.
Last position:
Principal Engineer at Microchip Technology
- Acted as an FPGA Subject Matter Expert with hands-on experience in Microchip Technology Libero SoC and PolarFire FPGA/SoC evaluation platforms.
- Identified a bug in an application note and provided a solution.
- Collaborated with Field Application Engineers (FAEs) to analyze, debug, and resolve customer-reported FPGA issues.
- Worked with internal teams to accelerate SPI flash programming by creating an FPGA design that enabled high-speed communication between JTAG and SPI.
- Characterized PolarFire FPGA temperature TVS sensors from -40°C to 100°C, comparing estimated and measured surface temperatures and analyzing junction-to-surface temperature estimation using the Psi-JT thermal parameter.
Tamás N.
Last position:
Embedded MISRA C Developer at DEKRA Arbeit GmbH
Task: Test tool development for Smart-Home IoT-based heating control Test tool development for Smart-Home HVAC heating and ventilation. Eliminating memory leaks in C/C++ within the CAN Analyzer application. Reviewing Python and Tcl/Tk code. Reviewing C-based simulator code for BOSCH Home Comfort cascade heating control using Visual Studio Code and Conan/Conda. Reviewing Delphi application: conversion to 64-bit. Reviewing PyQt6 user interface. SiL testing of domestic water heater control for memory leaks. Stability testing and continuous operation. Migration to Windows 11 24H2. Developing device connectivity with WinSock2 (WSAAPI, recv, send, select) for EMS/CAN IoT communication with C. Testing with virtual machines and Server Manager. Writing reports about the test cases. Logging with the RoboTT framework. Creating test procedure documentation with Docupedia. Bare-metal programming of embedded STM32 Cortex-M and simulation with Renode.io. In-depth familiarization with the SEGGER EmbOS firmware framework and its related system calls. Reviewing MATLAB/Sinumerik .m program files. Implementing redesigned OS schedulers in SEGGER EmbOS.Technologies: Embarcadero RAD Studio 10.2, Visual Studio Code, Sourcetree, Conan, Cmake, Conda, EmbOS, PyQt6, Qt6, Delphi VCL 32-bit, CAN, EMS, Powershell, MingW64, STM32 ARM-Cortex-M4F Renode.io, Windows Server 2022 Standard, RoboTT, IoT
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
Kai W.
Last position:
Schwarz IT KG
- Migration of the software development process for medical technology software to the C/C++ package manager Conan and development of macOS-specific system components
Chetan S.
Last position:
Student Research Assistant at Hochschule Ravensburg-Weingarten (RWU)
- Built and verified Zynq-7000 (Zybo Z7-10) FPGA prototypes in Xilinx Vivado – AXI IP integration, bitstream generation, hardware bring-up, timing-closure checks and waveform-based debug to confirm expected RTL behaviour.
- Set up Cadence Virtuoso schematic/simulation flows and documented settings, results and methodology for reproducible experiments – supporting structured verification and research documentation.
- Wrote Python automation for log parsing, structured data reporting and result analysis; worked daily in version-controlled Linux/Git workflows.
Muhammad J.
Last position:
Embedded Linux Intern – IoT Sensor Prototype Development at DHL
- Built a modular C++ 20 embedded Linux acquisition system on a Raspberry Pi, synchronizing IMU and dual-camera data streams to sub-millisecond accuracy.
- Integrated retro-reflective and contrast sensors to trigger acquisition and detect gaps between sorter rails.
- Implemented SPI & I2C sensor communication, GPIO interrupt handling with libgpiod, and CSV & JSON output.
- Designed a multi-threaded acquisition pipeline and an SPSC queue between acquisition and writer threads.
- Built a Python/HTML/CSS based web-server and validated the prototype in a DHL warehouse for defect detection.
- Documented software behavior, configuration, and results for maintainable handover and further development.
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.
Kacper K.
Last position:
Author
Seqnaut and Sycosm (WIP) – Embedded Audio DSP & Synthesis Platform
- Embedded audio DSP framework — synthesizers, effects, drum machines; modular audio graph
- Sequencing: PianoRoll, StepGrid, MasterClock; 8-voice polyphonic synth; CLI + OSC
- Transient Detector — dual-envelope adaptive threshold, guitar attack detection
- Hardware: Teensy 4.1, custom AFE design tapping BOSS GX-100; MIDI FX integration
Label: C++23, C, Python, CMake, FreeRTOS, Teensy 4.1 (ARM Cortex-M7), Teensy Audio (Stoffregen), DaisySP, I2S/SAI, OSC, MIDI
Christof M.
Last position:
Founder & Self-employed at CMRO Engineering
- I offer mainly development services or support for FPGA applications in the industrial sector
- Development of electronic modules and firmware for various controller families
- Development support and consulting in FPGA development
- Successfully completed projects with different customers:
- FPGA-based EtherCAT interface, hardware and software development
- Multi-camera interface (4 streams) with USB 3.0 connection
- FPGA emulation to support an ASIC development
- Test software based on an ARM Cortex-M0 with C/C++
- Setup of an ASIC test system for verification
- Test software for verification with Python
- Support during ASIC commissioning
Discover over 15,000 top freelancers
Statistics of experts using Arm
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
2.8 years
Positions per freelancer
16
Top business areas
Product Development, Information Technology, Quality Assurance
Top industries
Information Technology, Manufacturing, Automotive
Certification focus areas
Information Technology, Product Development, Quality Assurance
Bachelor's degree or higher
94%
Master's degree or higher
70%
Doctorate
4%
Certifications per freelancer
2
Most common languages
English, German, French
Speak two or more languages
100%
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 Arm
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.
Arm experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (79%)
- Manufacturing (78%)
- Automotive (74%)
- Healthcare (44%)
- Telecommunication (40%)
- Aerospace and Defense (38%)
- Education (38%)
- Energy (31%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Arm architecture
Arm is a reduced instruction set architecture used across embedded devices, mobile products, edge systems, networking hardware and cloud infrastructure. Its focus on efficient instruction execution and strong performance per watt makes it suitable for battery-powered products as well as dense server workloads. The name may refer to the Arm architecture, Arm-based systems or ARM64, depending on the project.
Products and platforms
Arm technology spans processor families, reference designs and software targets. Cortex-A is common in application processors and Linux systems, while Cortex-M supports microcontrollers and real-time embedded products. Cortex-R addresses safety-critical and deterministic workloads. Teams also work with Neoverse for infrastructure, Mali graphics, Ethos machine learning acceleration and system-on-chip designs built around Arm intellectual property.
Ecosystem and tooling
Successful projects connect hardware choices with low-level software, build systems and production operations.
- Develop and debug C and C++ firmware for Cortex-M and Cortex-R devices
- Configure embedded Linux, U-Boot, device trees and kernel drivers
- Port applications to ARM64 and validate native or cross-compiled builds
- Use GCC, LLVM, CMake, Yocto, Buildroot and hardware debugging tools
- Optimize power, memory, boot time and thermal behavior
When expertise matters
Companies bring in freelance Arm professionals when a product must move from a board bring-up or proof of concept to a stable release. They may need help selecting a Cortex family, porting software from x86, resolving toolchain issues or preparing a repeatable manufacturing image. In Germany, this expertise often supports automotive electronics, industrial automation, medical devices, robotics, telecommunications and connected consumer products.
What strong professionals deliver
Strong specialists understand the boundary between silicon, board design, firmware and application software. They read datasheets and reference manuals, trace problems with JTAG or SWD, and explain trade-offs in clear terms. They can isolate timing, interrupt, memory, cache, boot and driver issues instead of treating the whole device as a black box. Good delivery includes source code, build instructions, test evidence and documentation that another team can maintain.
Working model and quality
Arm projects can work remotely when repositories, hardware access and test procedures are organized. On-site collaboration may be useful for lab bring-up, board faults, production-line testing or secure hardware. German and English are common working languages, but the key requirement is precise communication across hardware and software teams. Assess a professional through relevant Cortex or ARM64 deliverables, practical debugging questions, reproducible builds and evidence of measured power and performance results.
Frequently asked questions
Quick answers to the questions that come up most around Arm.
Arm technology powers products such as microcontrollers, smartphones, industrial controllers, vehicles, networking equipment and cloud servers. Companies choose it when energy efficiency, compact hardware and scalable performance matter.
Arm architecture generally emphasizes efficient instruction execution and performance per watt, while x86 remains widespread in desktop and server environments. The better choice depends on application compatibility, operating system support, hardware availability, performance targets and energy constraints.
A strong ARM64 professional may also work with embedded Linux, C or C++, device trees, kernel drivers, bootloaders and cross-compilation. Experience with Yocto, Buildroot, CMake, JTAG, SWD and continuous integration is valuable for complete product delivery.
The right level depends on the work. A contained application port may need less specialist depth than board bring-up, real-time firmware, safety-related software or power optimization. Review comparable Cortex or ARM64 deliverables and the person’s ability to explain trade-offs, tests and failure analysis.
Arm projects can often be handled remotely when source code, build environments, logs and hardware access are available. On-site work is more useful for lab debugging, prototype boards, production testing or issues that cannot be reproduced with remote equipment.
Check whether the Arm architecture professional has worked with the relevant Cortex family, operating system and toolchain. Ask for a clear account of boot flow, debugging methods, test coverage and how the person measured power, timing or memory behavior.
Arm platforms can support edge machine learning through capable CPUs and dedicated accelerators such as Ethos. Suitability depends on model size, latency, memory, power limits and the available inference software, so benchmark results on the target hardware matter.
A high-quality ARM64 delivery is reproducible, tested and documented. It should include a reliable toolchain, clear deployment steps, traceable hardware assumptions and evidence that performance, power, boot behavior and failure handling meet the project’s requirements.
The average hourly rate of freelancers in Germany who have used Arm in their recent projects is 91 €, which corresponds to a daily rate of about 730 € based on an 8-hour working day.
Of the freelancers in Germany who have used Arm in their recent projects, 94% hold at least a Bachelor's degree, 70% hold at least a Master's degree, and 4% hold a doctorate.
On average, freelancers in Germany who have used Arm in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Germany who have used Arm in their recent projects are English (99%), German (98%), and French (14%).
The most common industries among freelancers in Germany who have used Arm in their recent projects are Information Technology (79%), Manufacturing (78%), and Automotive (74%).
The most common business areas among freelancers in Germany who have used Arm in their recent projects are Product Development (100%), Information Technology (94%), and Quality Assurance (89%).
Main locations of FRATCH Experts, who have recently used Arm
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 
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Philipp Thomaschewski
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