FPGA Experts in Germany
matched in minutes from over 15,000 CVsHire experts who design FPGA-based systems, implement Verilog or VHDL logic, and optimize data paths for embedded, automotive, industrial and communications products. FRATCH connects you quickly with vetted, available freelancers whose skills match your technical requirements.
Meet FRATCH Experts in Germany, who have recently used FPGA
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.
Nazif K.
Last position:
Self Employed at Self Employed
Providing services to cover the complete electronic product design process.
- Requirement validation
- Creating / re-writing / breaking down requirements
- Requirement analysis and functional partitioning
- Component selection and risk assessment
- Component library management
- Schematics design
- Safety and reliability assessment
- HDI PCB design
- Design review against requirements
- Readiness for manufacturing review
- Readiness for testing review
- Readiness for verification review
High Power Density BLDC Driver Module with MCU as controller:
- PCB module with heatsink
- L47mm x W36mm x H19mm compact sizes
- Nominal input voltage: 48V
- Sinusoidal continuous RMS current: 50A
- STO, Digital input and outputs
- Analog signal inputs
- CANBUS interface
- RS232/RS485 interface
- Multilayer FR4 design (No aluminum PCB)
Integrated Mission Computer & Smart 5kW PDU
- Featuring 3 different current limits, in total 63 power outputs
- Featuring programmable current amplitude and on-time, in total 84 CC power outputs.
- Ethernet, CANBUS, MIL-BUS, RS485 communication interfaces
- In total 120 Open-Short, Open-GND, 28V-GND types discrete I/O interfaces
- BIT and CIT solutions to monitor output voltage, current and board temperature
Andre K.
Last position:
Nearshore Engagement Manager at EnBW AG
- Building strong awareness within the company around nearshoring
- Engagement Manager in the Nearshore Competence Center
- Responsible for nearshore consulting, partner screening and technical onboarding, designing and implementing cooperation scenarios, change management, stakeholder management, participation in steering committees, and collaboration with IT and business units
- Tools used: Microsoft Office 365, Microsoft Teams, Azure Devops, Microsoft Sharepoint, Conceptboard
- Key results: Establishment of a nearshoring strategy, successful identification and implementation of outsourcing partnerships, delivery of change management and stakeholder management at the highest level
Basavaraj C.
Last position:
ASIC Verification Engineer at Ogheri Consulting GmbH
- Built and configured a highly parameterized UVM environment to validate AMBA APB subsystem.
- Developed virtual sequencers to drive synchronized, parallel master-slave sequences ensuring accurate peripheral address decoding and protocol handshake.
- Methodologies: UVM, Constrained Random Verification
- Tools: Cadence Xcelium, SimVision
Sanju R.
Last position:
Software Developer at Senior Connect GmbH
- Created complex backend systems (Fastapi Python, GCP cloud functions, APIs, integration tests) using Typescript.
- Worked with firebase and firestore databases, implementing transactional operations, scheduling jobs, and migrations.
- Implemented GCP dashboards for thorough monitoring and custom alerts in case of anomaly traffic.
- Implemented Sentry for better debugging, error tracking and overall monitoring of the Next.js frontend.
- Implemented story tests for UI related testing.
- Implemented Typesense in Python Fastapi backend, for improved text based searching along with typo handlings.
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)
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.
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.
André H.
Last position:
Linux IT Admin at ReiserST
- Development and maintenance of IT architectures with embedded Linux systems.
- Designing, implementing, and optimizing backend applications and script-based solutions.
- Analyzing and resolving issues, including troubleshooting and user support.
- Developing and implementing security concepts for cloud solutions.
- Administering networks (DHCP, DNS, NTP, VPN).
- Technologies: Linux, PowerShell, Bash, Python, Ansible, Kubernetes, GitLab CI.
- Methods: Kanban.
Benjamin R.
Last position:
Technical Director at maincubes Holding & Service GmbH
- Development and implementation of technical guidelines for electrical and mechanical systems
- Development of the electrical safety organisation as responsible electrician (gVEFK)
- Implementation and oversight of DCIM and related technical software solutions
- Design of technical solutions for lifecycle infrastructure and customer projects
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.
Alexander D.
Last position:
Systems Engineer at infoteam AG
- Further development and maintenance of data management software in the nuclear sector
- Processing and resolution of problem reports
- Bug fixing and defect remediation
- Performance optimization of legacy code
- Analysis and remediation of security vulnerabilities
- Specification and conceptual design of new features
- Modernization of legacy codebase to C++17
- Technologies & tools: C++, ClearCase, SQL, HTML, CSS, JavaScript, Git, Linux, Solaris, Shell-Script, VisualStudio
- Frontend – Smart Sensor Dashboard: development of a browser-based dashboard for real-time visualization of smart sensor data
- Technologies & tools: TypeScript, Angular, HTML, CSS, JavaScript, MQTT, VisualStudio
- Implementation of embedded safety software for a magnetic levitation elevator system
- Requirements engineering
- Documentation and implementation of safety software for the magnetic levitation elevator control system and the central management system
- Creation and execution of unit tests for all implemented modules
- Technologies & tools: C/C++, Jira, Bitbucket, Confluence, VectorCAST, MISRA-C, Lint, Doxygen, Git
Dirk Markus M.
Last position:
Scientific Software Consulting Engineer
Technical audit for scientific software.
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.
Yimeng W.
Last position:
R&D Software Engineer at Advantest
- Development and maintenance of hardware drivers in C++
- Conducting unit and integration tests to ensure code quality
- Debugging and fixing issues with the hardware team and FPGA team
- Defining and developing software concepts and coordinating with the software architect
- Expanding test automation to improve efficiency
- Research and development of algorithms to improve existing codebases (runtime, memory usage, accuracy)
Discover over 15,000 top freelancers
Statistics of experts using FPGA
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
2.1 years
Positions per freelancer
13
Top business areas
Product Development, Information Technology, Quality Assurance
Top industries
Information Technology, Manufacturing, Automotive
Certification focus areas
Information Technology, Quality Assurance, Product Development
Bachelor's degree or higher
93%
Master's degree or higher
76%
Doctorate
13%
Certifications per freelancer
2
Most common languages
German, English, French
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 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 FPGA
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.
FPGA 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 (84%)
- Manufacturing (78%)
- Automotive (59%)
- Education (51%)
- Aerospace and Defense (37%)
- Healthcare (33%)
- Energy (31%)
- Telecommunication (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Hardware Logic
FPGA stands for field-programmable gate array, a reconfigurable chip used to implement custom digital logic after manufacturing. It can process signals in parallel and with predictable timing, making it suitable for low-latency control, high-throughput data paths and specialized computing. Unlike a fixed-function processor, its hardware behavior can be adapted to the product.
Product Applications
FPGA systems appear in products that need fast, deterministic processing close to the hardware:
- Radar, image processing and software-defined radio
- Industrial control, robotics and machine vision
- Automotive sensing, driver assistance and test systems
- Network appliances, storage and financial data processing
- Medical imaging and scientific instrumentation
Design Ecosystem
Strong specialists work across RTL design, simulation, synthesis, implementation and hardware bring-up. Common languages include VHDL, Verilog and SystemVerilog, with vendor environments such as AMD Vivado, Intel Quartus and Lattice Radiant. Work may also involve AXI interfaces, PCIe, DDR memory, Ethernet, DSP blocks and high-speed serial links.
When Expertise Helps
Companies often bring in freelance FPGA expertise when a prototype must become production hardware, internal capacity is limited or timing closure is blocking a release. Specialists can define the architecture, select an appropriate device, integrate intellectual-property cores and create a verification plan. They can also review an existing design before a board spin or migration between vendors.
Delivery and Collaboration
A project may cover requirements, RTL modules, test benches, constraints, synthesis reports, bitstreams, documentation and support during hardware testing. Remote work is practical when repositories, simulation environments and lab access are well organized. For teams in Germany, on-site collaboration can still help with board bring-up, equipment access and coordination across hardware, firmware and product groups.
Quality Signals
A capable professional explains trade-offs between latency, resource use, power, clock domains and maintainability. They verify behavior with meaningful simulations, assertions and hardware tests rather than relying only on a successful build. Look for clear timing reports, disciplined version control, reproducible tool flows and experience with the target device family, board and interfaces.
Frequently asked questions
Key details about FPGA, drawn from the questions we get asked most.
An FPGA is used to implement reconfigurable digital hardware for tasks such as signal processing, industrial control, networking, image analysis and embedded acceleration. It is especially useful when parallel processing, deterministic timing or custom interfaces matter.
An FPGA offers more hardware flexibility and predictable latency than a CPU, while usually requiring more design effort. It can be more adaptable than an ASIC and more deterministic than a GPU, but the best choice depends on throughput, power, unit volume, development time and algorithm structure.
A strong FPGA specialist often understands digital electronics, clock-domain crossing, board constraints, embedded software and hardware interfaces. Useful adjacent skills include C or C++, Python-based verification, DSP, PCIe, Ethernet, DDR memory and laboratory debugging with oscilloscopes or logic analyzers.
The right FPGA experience depends on the deliverable. A small RTL module may need focused design and verification skills, while a production platform requires architecture, timing closure, device selection, board bring-up and lifecycle awareness. Ask for relevant work on comparable devices, interfaces and performance constraints.
Many FPGA tasks can be completed remotely when source code, tool licenses, simulation data and hardware access are available. On-site work in Germany is more valuable for lab debugging, prototype bring-up and coordination with electronics teams. Agree early on equipment access, documentation and communication language.
Review how the FPGA design is verified, constrained and documented, not only whether it produces a working bitstream. Check simulation coverage, assertions, timing reports, resource use, clock handling, reset behavior and reproducibility of the build. A quality specialist can explain failures and design trade-offs clearly.
Common FPGA environments include AMD Vivado, Intel Quartus and Lattice Radiant, alongside simulators and vendor IP libraries. The relevant tool depends on the device family, but professionals should be comfortable with synthesis, place-and-route, timing analysis, constraints and hardware debugging.
FPGA work can use VHDL, Verilog or SystemVerilog, depending on the existing codebase, team and verification approach. Language knowledge alone is not enough: the specialist must understand RTL semantics, synthesis behavior, clocking, interfaces and how simulated logic behaves on physical hardware.
The average hourly rate of freelancers in Germany who have used FPGA in their recent projects is 92 €, which corresponds to a daily rate of about 732 € based on an 8-hour working day.
Of the freelancers in Germany who have used FPGA in their recent projects, 93% hold at least a Bachelor's degree, 76% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Germany who have used FPGA in their recent projects have 19 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 FPGA in their recent projects are German (100%), English (96%), and French (18%).
The most common industries among freelancers in Germany who have used FPGA in their recent projects are Information Technology (84%), Manufacturing (78%), and Automotive (59%).
The most common business areas among freelancers in Germany who have used FPGA in their recent projects are Product Development (98%), Information Technology (92%), and Quality Assurance (90%).
Main locations of FRATCH Experts, who have recently used FPGA
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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