
MOTOR Ai is developing a Level 4 autonomous driver based on cognitive neuroscience and leading German research, aiming to connect suburban areas to public transport and improve mobility in remote regions. Their autonomous driver is designed to mimic human decision-making processes, utilizing a full sensor stack (LIDAR, Radar, Camera, GPS, Ultrasound) for precise environmental perception. This approach allows for explainable, deductive decision-making in complex traffic situations without extensive training, setting them apart from traditional machine learning systems. They emphasize safety and certification according to the highest industry standards, aligning with Germany's new regulations for autonomous driving on public roads.

MOTOR Ai is developing a Level 4 autonomous driver based on cognitive neuroscience and leading German research, aiming to connect suburban areas to public transport and improve mobility in remote regions. Their autonomous driver is designed to mimic human decision-making processes, utilizing a full sensor stack (LIDAR, Radar, Camera, GPS, Ultrasound) for precise environmental perception. This approach allows for explainable, deductive decision-making in complex traffic situations without extensive training, setting them apart from traditional machine learning systems. They emphasize safety and certification according to the highest industry standards, aligning with Germany's new regulations for autonomous driving on public roads.
Founded: 2017 (Berlin)
Product: Level 4 autonomous driving software with explainable, cognitive-neuroscience‑based decision layer
Sensors: Full multi-sensor stack: LiDAR, radar, cameras, microphone/audio, GPS, ultrasound
Team size: ~75 employees
Recent funding: Seed round announced Jul 14, 2025 (~$20M reported)
Autonomous vehicle software for public transport and mobility in suburban/remote regions
2017
DeepTech
$20,000,000
Reported amount in press summaries (~$20M, also reported as €17.1M in some outlets)
“Seed round led by venture investors (Segenia Capital and eCAPITAL Entrepreneurial Partners) alongside earlier public/accelerator support (Horizon 2020)”
| Company |
|---|
MOTOR Ai is a Berlin-based deep-tech startup transforming the way autonomous driving works. We're not just building smarter vehicles — we’re developing one of the first certifiable Level 4 autonomy systems in Europe, grounded in cognitive neuroscience and capable of navigating real-world, complex traffic scenarios.
Our technology doesn’t just recognize — it reasons. That means safer, faster, and more adaptable autonomy — especially in environments where traditional AI struggles.
Join our diverse and fast-growing team of engineers, scientists, and visionaries as we shape the future of mobility. At MOTOR Ai, your work will have real impact and your ideas will help drive autonomous driving into the next era.
We are seeking an experienced Verification & Validation (V&V) Lead to spearhead the
testing efforts for our Level 4 Automated Driving System (ADS). In this critical role, you
will be responsible for defining and executing the complete V&V strategy, from
high-level planning and stakeholder alignment to hands-on test execution and
infrastructure management. You will be in charge of ensuring our systems are robust,
reliable, and safe by managing all verification activities, driving test automation, and
fostering a culture of continuous improvement.
Aufgaben
Lead the overall V&V strategy, including the selection of tools and processes to build an adaptable and efficient test environment
Develop and own system verification and integration plans, collaborating directly
with development teams and project stakeholders to align on goals
Define clear acceptance criteria for system requirements in partnership with
product managers and engineers
Manage team capacity and competence planning to ensure resources are
aligned with project needs
Create and execute detailed test cases for the validation of systems, hardware,
and software
Drive test automation by designing automation schemes and integrating them
into our CI/CD pipelines
Support and maintain test infrastructure, equipment, and tools, while constantly
innovating on existing solutions
Analyze test results, identify risks, prepare verification reports, and communicate
key metrics to stakeholders and management
Qualifikation
A bachelor's degree in Engineering (Software, Computer, Electrical, or
Electronics) or a relevant technical field
A minimum of seven years of hands-on testing experience within the Automotive
ADAS domain
Hands-on experience in the verification and validation of safety-critical systems
according to the ISO 26262 standard
Proven experience in leading initiatives and fostering collaboration across
different functional teams
Strong, hands-on programming and scripting ability in C++ and Python
Practical experience developing test automation and performing both
Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) tests
Solid understanding of automotive communication protocols, including CAN and
Ethernet
Strong knowledge of Real-Time Operating Systems (RTOS) and their core
concepts
Practical exposure to ASPICE and agile development methodologies
It is preferred that candidates have hands-on experience with simulation
platforms like CARLA and middleware such as ROS2
Experience or knowledge of Adaptive AUTOSAR and the QNX operating system
Benefits
Competitive compensation
Flexible working hours – with room for life’s realities (parenting, care responsibilities, volunteering, etc.)
Dog-friendly office – yes, your furry co-worker is welcome
Work from our office in Berlin’s vibrant Wedding district
Cutting-edge tech & real-world impact – shape the future of autonomous driving with purpose-driven work
Collaborative, diverse, and supportive culture – where your ideas matter and your voice is heard
Room to grow – both professionally and personally, in a team committed to bold innovation and lifelong learning
If you’re excited to build real-world solutions in the pioneering field of autonomous driving — and want to work in a team that values ownership, diversity, and purpose — we’d love to hear from you.
Apply now and help us shape the future of safe, explainable mobility.