Join us as a Chapter Lead (m/f/d) in our Verification & Validation team and help shape the future of autonomous mobility!
As the Verification & Validation team, we ensure that autonomous driving systems are safe, reliable, and ready for the road. We bridge simulation, testing, and real-world validation through data-driven insights and visual models. Our mission is to answer the critical question: "Is the system ready to deploy?"
We're a diverse group with backgrounds in data science, machine learning, statistics, and automotive testing. We value collaboration, curiosity, and the drive to solve complex problems that directly impact road safety.
What you will do
- Lead with Servant Leadership: Guide and inspire your chaptees using a servant leadership approach. By fostering a supportive and empowering environment, you will enable their overall career development.
- Proactively balance your hats: As chapter lead, you enjoy balancing your hats and setting clear expectations with the team. You will be spending 50% of your time on average on very empathetic people leadership tasks – changing over time and depending on the overall demands and projects in the larger organisation.
- Holistic People Management: In collaboration with other roles, you ensure fair and unbiased salaries across your chapter. You align business goals with personal growth opportunities, conducting discovery dialogs, as well as administrative tasks such as managing absences.
- Be a role model: You represent the core values and principles of MOIA in people leadership as much as product delivery in the team. As a chapter lead in MOIA, you rise by lifting others.
- Culture Development: Together with the other chapter leads, you will play an active role in shaping and nurturing the MOIA tech culture, ensuring it remains innovative and inclusive.
- Individual Contributor: You will continue to work as an individual contributor in your current team.
What will help you to fulfill your role
- You have a collaborative mindset and can translate complex analytics into actionable insights for diverse stakeholders—from engineers to decision-makers.
- You're curious and analytical, with an investigative approach to problem-solving. You don't just find patterns—you understand what they mean and why they matter.
- You have a passion for guiding and supporting colleagues in their career development.
- You are interested in attracting and retaining talented team members. You are curious about the dynamics of organizational development and eager to contribute to shaping it.
- You value giving and receiving constructive feedback. You know how to navigate and resolve conflicts both for yourself as well as for others.
- You have a background in data science, machine learning, statistics, or a related technical field.
- You're proficient in Python and SQL, and comfortable building data pipelines and analysis scripts. Experience with statistical modeling (regression, classification, clustering, anomaly detection) and time-series analysis is essential.
- Previous experience with professional software engineering practices, like version control (git), unit testing, and an understanding of the python package ecosystem.
- You have experience with data visualization tools (e.g., Apache Superset, Tableau, or custom solutions) and know how to tell compelling stories with data.
- You're familiar with cloud platforms (AWS, GCP, or Azure) and understand how to build scalable analytics solutions.
Nice to have:
- Familiarity with data modelling in Data Warehouses or Lakehouse platforms, ETL and ELT.
- Understanding of autonomous driving systems, V&V processes, or safety-critical AI applications.
- Knowledge of safety standards (ISO 26262, ASPICE) or EU regulations for autonomous vehicles.
- Experience with feature engineering from multi-modal sensor data (camera, lidar, radar).
- Familiarity with GenAI, federated learning, or multi-agent systems.
- Background in computer vision, scene understanding, or perception systems.
- You're comfortable working in a multi-national team with occasional travel for meetings (e.g., PI Planning, ~1x/month). You value diverse perspectives and enjoy working in a hybrid environment where experimentation and learning are encouraged.
- Most importantly, you're excited about shaping the AI backbone of autonomous vehicle validation.
We welcome applicants from diverse backgrounds — even if you don't meet every requirement. If you're excited about the role and MOIA's mission, we'd love to hear from you!
Our benefits in a nutshell
- Competitive salary (including bonus)
- Hybrid work setup: Work from home or one of our offices - you and your team decide how often to meet, blending flexibility with collaboration!
- Flexible working hours and the possibility of flexible work arrangements depending on your needs (parenting, care work, volunteering, etc.)
- Budget and monthly expense allowance for home office setup
- Possibility of remote work from outside Germany for up to 6 weeks per year from over 35 countries - learn more in our blog!
- Public transport ticket (fully subsidized "Deutschlandticket") for commuting and travelling throughout Germany and discount on MOIA rides
- Subsidized fitness club membership or bike leasing
- Learning environment with continuous learning days, job rotation, trainings and workshops, coaching, conferences, books, and language classes
- Mental health support, 1:1 sessions with external professionals and mental unload workshops
- 30 vacation days, sabbatical and unpaid leave option
- Relocation support with service provider (visa, administration, etc.)
- Dog-friendly offices
For student & internship positions, we have an adjusted set of benefits. You can find them here.
Be who you are!
We are a member of Charta der Vielfalt and are dedicated to actively fostering a workplace that celebrates and promotes diversity in various aspects such as age, gender identity, race, sexual orientation, physical or cognitive ability, and ethnicity. At MOIA, we embrace a culture where people are accepted, respected, valued, appreciated, and included.
In our commitment to promoting diversity and inclusivity, we regularly provide unconscious bias training to all our employees. Furthermore, we continuously strive to enhance our hiring process by ensuring a diverse hiring panel.
Our Future Work model
Since we love to collaborate, it is clear to us that we don't want to become a fully remote company, but we also don't need to spend every day of the week in the office to do a great job.
Our current hybrid work approach focuses on adapting to different needs, including increased flexibility that works best for the teams and the individuals with as much self-determination as possible.
Get more insights on how we work on our blog to find out more about our hiring process or follow us on Instagram for a look inside MOIA.
Who we are
At MOIA we're reimagining the future of mobility – safe, autonomous and tailored to the needs of cities and their people. As a tech company with more than 400 employees, we build mobility solutions that truly move cities forward.
We launched our ridepooling service in Hamburg in 2019 and have been part of the city's public transport system since 2023. Since launch, we have transported over 12 million passengers. Currently, MOIA is evolving from a mobility provider to a tech provider offering a scalable and safe turnkey solution for autonomous driving.
With office locations in Berlin and Hamburg, our diverse and international team comprising more than 60 nationalities works together toward that shared mission.
MOIA is more than a technology provider – we are a partner to cities and public transport operators committed to creating more livable spaces and delivering mobility solutions that are reliable, safe and comfortable.
Your application to MOIA
We value authenticity and personal insights in your application responses. While AI tools can be useful, we encourage you to answer the following questions based on your own experiences and understanding. This helps us keep a human touch and better evaluate your unique perspective and match for the role.
To reinforce an unbiased screening process, we kindly ask you not to include your picture, age, address, or any other details unrelated to your qualifications and suitability for the role. Additionally, we anonymize applications during the initial review phase by removing personally identifiable information. This ensures that our evaluation focuses solely on your skills, experience, and potential – supporting a fair and inclusive hiring experience for all candidates.
