
Autonomous Driving Experts in Germany
matched in minutes from over 15,000 CVs with the power of AIWork with specialists who build ADAS perception pipelines, implement sensor fusion algorithms, and deploy ISO 26262 compliant software. FRATCH connects you with vetted, available freelance talent through precise AI matching.
Meet FRATCH Experts in Germany, who have recently used Autonomous Driving
Enver B.
Last position:
Interim Manager Data Protection Projects at Telefonica Deutschland GmbH
Management of data protection & IT security-related projects. Adjustments to knowledge management and consulting processes.
Activities:
- Data protection consulting
- Process optimization in in-house consulting
- Interface to specialist departments, IT security, development and management
Philipp H.
Last position:
Managing Director at Vishnu Artists GmbH
- Managing Director of Vishnu Artists GmbH in Berlin (since 01/2025, together with Benedikt Irsch).
- Responsible for the company's finance, planning and reporting; working with DATEV.
- Reporting with Power BI as well as planning and analysis models in Excel as a basis for management decisions.
- Selection, development and implementation of AI-supported tools in the company, including Flow Compass.
- Co-host of the Vishnu AI Freelancer Meetup, which takes place every four weeks on Miro; exchange about the practical use of AI applications in coaching and facilitation.
Raschid I.
Last position:
Requirements Engineer/Manager at CARIAD – Volkswagen Group AG
- Development of the unified CARIAD E3 2.0 software platform for future mobility
- Stakeholder management
- Synchronization and alignment with Solutions (UX, Security, Data Product & Mobility Services, Architecture, Software Product, Integration)
- Workshop and migration management
- Conducting risk matrix analyses
- Tools used: Jira, Confluence, Codebeamer
Adrian K.
Last position:
Senior Advisor, Process Governance & Transformation at MOIA GmbH
- Ran a group-wide steering committee to set strategic direction for a turnaround program. Planned delivery to secure go-to-market and investor milestones
- Prepared the project structure and supplier management process for an ACQ.4 Automotive SPICE audit. Built dry runs and compiled evidence with the team, resulting in a successful CL2 assessment
- Synchronized Automotive SPICE activities with the organization's SAFe rollout by screening base practices and agile artifacts for overlap. Avoided approximately 30% duplicate effort
Dorin L.
Last position:
Release Train Engineer, Program Lead & Transformation Consultant - Freelancer at Telefónica Germany
- Transformation Consultant, Release Train Engineer and Program Lead – responsible for the new Way of Working in the Open Gateway Program; optimizing the flow of value by ensuring the ART events and artifacts function correctly, including the Open Gateway Release Train Kanban, Inspect & Adapt (I&A) workshop, ART Sync Meetings, and PI Planning to ensure stakeholder alignment;
- Coaching and guiding the Product Owners, Business Owners, Product Management, Program Managers, Leaders, Tribe Architect
- Coaching the OGW Core Team (cross functional) within the OGW Program and developing optimization measures in their transformation process;
- Facilitating and working actively towards the creation of the Definition of Ready (DoR) and the product Definition of Done (DoD);
- Introducing knowledge sharing workshops and grow the agile engineering practices;
- Hold Team lift-off workshops;
- Help the group to become a team by providing system team coaching and multifunctional learning;
- Facilitate, decision making, feedback loops for learning new skills and practices
Tools: JIRA, Confluence, MS Teams, Miro
Yannide D.
Last position:
Development Engineer Test Automation at Vorwerk Elektrowerke GmbH & Co. KG
- Project: Thermomix Online Mock
- Manual execution of functional tests
- Implementation of automated end-to-end tests
- Execution of regression tests and analysis of results
- Further development of the QA website server using Express.js, Handlebars and Node.js
- Further development of the test environment
- Technologies: Agile software development Scrum, Robot Framework, Python, JavaScript, Git (GitLab), VS Code, Jira, Confluence, Express.js, Handlebars, Phoenix/Elixir
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.
Arash K.
Last position:
Global Digital Product Manager, IoT Services at Pfeiffer Vacuum GmbH
- Responsibility for the further development of digital service products with a focus on customer value, profitability, and scalable growth
- Development and prioritization of the service product roadmap based on customer feedback, market analysis, financial evaluation, and technical feasibility
- Identification of new digital service opportunities as well as derivation of product requirements, feature priorities, and value propositions
- Alignment of product vision, roadmap, and user experience with product owners, center of competence, sales, service, and market organizations
- Support of go-to-market activities, market validations, and internal training for the successful launch of digital service offerings
- Use of data-based decision-making to assess customer needs, business model assumptions, and product progress
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.
Omar T.
Last position:
Technical Advisor — AI Products & Solutions at ProActive Integrated Solutions Global
- Own the technical direction of several AI products in a product-owner capacity: shape roadmaps, guide the in-house development team, and provide oversight from concept through delivery.
- Act as the technical bridge between stakeholders, end clients, and vendors for a solutions provider (reseller and in-house products): evaluate vendor solutions against client needs, lead vendor discussions, and support sales and pre-sales with technical solution design.
Gyan P.
Last position:
Senior DevOps & Cloud Architect, Head of Infrastructure at Bosch
- Azure Landing Zone architecture: Design and implement a hub-spoke, multi-region-capable Azure landing zone that provides the secure, scalable and highly available foundation for autonomous driving and parking data/ML platforms.
- Compliance through Azure Policy: Enforce security and compliance standards across Azure subscriptions via Azure Policy (guardrails, deny/audit/deploy-if-not-exists), consistently achieving top-tier infrastructure security scores.
- Infrastructure-as-Code: Automate provisioning and configuration of Azure resources with Terraform and Bicep, with changes delivered through reviewed CI/CD pipelines.
- Azure Databricks and Unity Catalog: Extensive experience operating Azure Databricks with Unity Catalog for centralized data governance, access control, lineage and auditing across workspaces.
- Monitoring and observability: Built and run infrastructure monitoring and logging with Azure Monitor, Prometheus, Grafana and Loki, covering platform health, alerting, troubleshooting and capacity trends.
- Platform at scale: Architected and operate cloud data/ML platforms supporting multi-PB vehicle data ingestion and simulation; orchestrate Argo Workflow-based recompute and autolabeling services scaling to 100k+ concurrent pods on AKS.
- Reproducible ML: Established reproducible training environments with dataset versioning and provenance tracking, enabling auditing and experiment reliability.
- Operational excellence: Automated GitHub organization management and CI/CD pipelines, improving developer productivity and deployment reliability; automated recurring operational processes.
- FinOps: Developed transparent resource utilization and cost-tracking for multi-project Azure environments.
- Leadership: Technical lead for infrastructure topics, collaborating with development, DevOps and security teams; technical interviewer and recruitment panel member for scaling the engineering team.
Britta F.
Last position:
Project Manager, Volkswagen Commercial Vehicles / Aftersales
- Independently responsible for the conception and cross-market rollout of a safety-relevant digitalization project for the centralized, transparent provision of vehicle and service data
- Developed an integration concept for existing IT and workshop sy...
Hamza K.
Last position:
Academic Research Contributor in Health Sector (Volunteer) at n/a
- Acted as technical consultant to optimize multi-layer ensemble models combining ResNet, CNN-BiGRU-Attention, and XGBoost.
- Guided implementation of a Logistic Regression meta-learner to solve class imbalance problems, achieving 92.86% accuracy and 0.9644 AUC on PTB-XL and Chapman-Shaoxing datasets.
Nagaraj N.
Last position:
Manager, Functional Safety at Eaton Industries GmbH
- Lead functional safety strategy and ISO 26262 compliance across the full lifecycle for a high-voltage electronic switching device that safely connects/disconnects the HV battery in EVs, enabling fast fault isolation and high-current interruption.
- Own the Functional Safety Management Plan (FSMP) and Development Interface Agreement (DIA), acting as the primary safety governance authority across program stakeholders.
- Architect system safety concepts — developing FSC, TSC, and system safety architecture — and define the safety manual with complete user instructions.
- Direct verification and confirmation reviews per ISO 26262 independence requirements.
- Lead safety analysis activities (FTA, FMEA, FMEDA, DFA) and chair vehicle/system integration reviews across cross-functional engineering teams.
- Define methods, templates, and processes that establish best-in-class FuSa practices organization-wide.
- Conduct SEooC assessments and audits, representing the safety organization to internal leadership and external stakeholders.
Sebastián Z.
Last position:
Senior Transformation Consultant – Operating Model & Portfolio Enablement at TUTMONDA UG
Cross-company SAFe environment for autonomous driving with an OEM, software organization, international suppliers and engineering partners. The project is being carried out as part of the organizational integration of two organizations. Portfolio and value management, operating model, product compliance, prototype logistics and management transparency are being realigned and integrated into daily management.
Senior Transformation Consultant for Strategy Execution. Built and continuously improved the operating model, roles, processes, governance and management mechanisms. Coordinated cross-organizational topics in compliance, prototype logistics, data and AI.
Supported LPM and VMO in building structures, content and artifacts for portfolio management and prioritization; prepared epics, dependencies, risks and decision points.
Continuously developed the operating model: identified blind spots and adapted SAFe roles, committees, artifacts, interfaces and management mechanisms.
Coordinated cross-functional and cross-ART initiatives: maintained roadmaps, made risks, issues and dependencies transparent, and prepared and tracked decisions and actions.
Aligned processes, methods and supporting IT systems; specified system changes from a business perspective and supported their implementation with business and IT.
Built interdisciplinary team, role and governance structures to ensure reliable compliance with regulatory and compliance requirements.
Coordinated prototype logistics for vehicle testing in the USA, including export and import; provided occasional support for the Uplifter/vehicle conversion concept.
Built management reporting for portfolio and audit status, developed the management dashboard and assessed opportunities for AI-supported automation.
Defined and collected KPIs and developed a data strategy for measurement logic, data quality and regular reporting.
Created and maintained roadmaps for key topics and used them as a basis for prioritization, decision preparation and follow-up.
Built management reporting for portfolio and audit status; made risks, dependencies, actions and open decision points transparent.
Defined KPIs and developed a data strategy for collection, measurement and reporting; visualized results in the management dashboard.
Validated, stabilized and handed over the management dashboard as an MVP with ARTs and RTEs; assessed the potential for AI-supported reporting.
Defined team structures, roles and responsibilities; identified blind spots and continuously improved the operating model, interfaces and management mechanisms.
Coordinated prototypes for vehicle testing in the USA and provided conceptual support for the required vehicle conversion.
Discover over 15,000 top freelancers
Statistics of experts using Autonomous Driving
Aggregated from the professional profiles of matched freelancers.
Experience
19 years

Position duration
2.2 years

Positions per freelancer
10

Top business areas
Product Development, Information Technology, Project Management

Top industries
Automotive, Information Technology, Manufacturing

Certification focus areas
Project Management, Information Technology, Quality Assurance
Bachelor's degree or higher
97%
Master's degree or higher
70%
Doctorate
10%

Certifications per freelancer
2

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 Autonomous Driving
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.
Autonomous Driving experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Automotive (97%)
- Information Technology (66%)
- Manufacturing (57%)
- Professional Services (38%)
- Aerospace and Defense (31%)
- Healthcare (27%)
- Education (26%)
- Energy (22%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Automated Mobility and Modern Vehicle Stacks
Autonomous driving encompasses the hardware, software, and systems engineering required to operate vehicles without human intervention. Often referred to as automated driving, self-driving technology, or advanced driver assistance systems (ADAS), it spans perception, localization, path planning, and vehicle motion control. Development targets range from SAE Level 2 highway assist to Level 4 commercial shuttles.
The Automotive Software Ecosystem
Building safe self-driving architectures requires deep technical fluency across modern automotive stacks, including:
- Middleware frameworks such as ROS 2, Adaptive AUTOSAR, and DDS
- Computer vision and deep learning runtimes including TensorRT, PyTorch, and CUDA
- Simulation environments like CARLA, IPG Carmaker, and AWS RoboMaker
- Low-latency communication over Automotive Ethernet, CAN FD, and FlexRay
Sensor Fusion and Perception Engineering
Perception stacks process data streams from LiDAR, radar, ultrasonic sensors, and cameras to create a real-time environmental model. Specialists build tracking algorithms using Kalman filters, point-cloud segmentation models, and semantic segmentation networks. Reliable perception demands continuous calibration and synchronization across multi-modal sensor configurations.
Safety and Compliance in Germany
Projects in Germany operate under rigorous regulatory frameworks, notably ISO 26262 for functional safety (ASIL D) and ISO 21448 for safety of the intended functionality (SOTIF). Specialists design fail-operational architectures, run hazard analysis and risk assessments, and establish traceable automated testing pipelines to ensure full conformity with European road safety standards.
When Organizations Require Freelance Specialists
Automotive OEMs, Tier-1 suppliers, and mobility startups engage independent specialists during critical project phases:
- Bridging deep technical gaps in SLAM algorithms and motion planning
- Accelerating synthetic dataset generation and scenario-based validation
- Auditing software modules for ASPICE and cybersecurity compliance
- Porting high-performance neural networks to automotive-grade SoCs
Profile of Senior Freelance Talent
Distinguished professionals combine systems-level insight with production C++ and Python skills. They understand hard real-time execution constraints on embedded platforms like NVIDIA DRIVE or Qualcomm Snapdragon Ride. Their background typically includes extensive testing in hardware-in-the-loop (HIL) environments and proven success deploying algorithms to operational vehicle fleets.
Frequently asked questions
Curious about Autonomous Driving? Here are the answers that come up again and again.
Specialists working on autonomous driving systems develop algorithms for perception, trajectory planning, and vehicle control. They integrate sensor suites, train machine learning models to detect dynamic obstacles, and establish automated simulation pipelines for edge-case validation.
Advanced driver assistance systems, or ADAS, focus on Level 1 and Level 2 features such as lane keeping and adaptive cruise control, where the human driver remains legally responsible. In contrast, automated driving at Level 3 and above requires fail-operational designs, redundant actuators, and extensive SOTIF validation to operate without constant human supervision.
Modern autonomous driving stacks rely heavily on modern C++ for latency-critical runtime components and Python for machine learning workflows. Specialists frequently use frameworks such as ROS 2, Adaptive AUTOSAR, and specialized inference engines like TensorRT.
Vehicles developed in Germany must comply with ISO 26262 up to ASIL D standards and ISO 21448 to prevent performance limitations from causing hazards. Independent professionals often lead safety assessments, construct safety cases, and align architectures with European type-approval standards.
Most algorithm development, data engineering, and simulation work occurs effectively in a remote setup. However, projects in Germany often require hybrid presence for vehicle integration, test-track validation, or hardware-in-the-loop bench testing at OEM facilities.
Beyond algorithm development, strong self-driving technology professionals bring expertise in embedded Linux, RTOS, Docker containerization, and cloud-based data pipelines for managing petabytes of fleet recordings. They are also adept at using Git, CI/CD toolchains, and ASPICE-compliant processes.
Because automated driving involves direct physical risk, organizations typically seek professionals with hands-on exposure to multi-sensor architectures and safety-critical embedded systems. Candidates who have successfully deployed software into physical prototype vehicles or series production yield the lowest risk.
Technical quality in autonomous vehicle engineering is reflected in clean, deterministic C++ code, an intuitive grasp of kinematic vehicle models, and familiarity with simulation tools like CARLA. Evaluators often review architectural decision-making, understanding of edge cases, and previous success with system verification.
The average hourly rate of freelancers in Germany who have used Autonomous Driving in their recent projects is 100 €, which corresponds to a daily rate of about 799 € based on an 8-hour working day.
Of the freelancers in Germany who have used Autonomous Driving in their recent projects, 97% hold at least a Bachelor's degree, 70% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Germany who have used Autonomous Driving in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Germany who have used Autonomous Driving in their recent projects are German (99%), English (97%), and French (18%).
The most common industries among freelancers in Germany who have used Autonomous Driving in their recent projects are Automotive (97%), Information Technology (66%), and Manufacturing (57%).
The most common business areas among freelancers in Germany who have used Autonomous Driving in their recent projects are Product Development (94%), Information Technology (72%), and Project Management (66%).
Main locations of FRATCH Experts, who have recently used Autonomous Driving
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.
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Munich