iringg.aimoia
To realise the vision of autonomous ride pooling, the Vehicle Integration domain develops the tools and applications that make passenger management possible without a driver. How can passengers authenticate themselves in the vehicle? How do we ensure a safe cabin during boarding and the ride? What content should be shown on the screens to create a safe and informative experience?
The Vehicle Perception team addresses some of these challenges by building end-to-end solutions for live video streaming, operator communication, and computer vision inside our vehicles. The team develops the technical foundation for real-time cabin awareness. This includes live video pipelines that stream reliably from the vehicle to backend systems, as well as interfaces and services that enable operators to connect with passengers and provide timely support. In addition, it implements perception models that are meant to detect and classify cabin states — for example, identifying occupied seats, forgotten objects, or compliance with safety requirements.
Our team has the necessary roles on board to take full responsibility for the given value streams: from backend and embedded developers to quality specialists, functional safety experts and product managers.
We are looking forward to getting to know you, and would be really happy to welcome you as part of our team.
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!
For student & internship positions, we have an adjusted set of benefits. You can find them here.
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.
At MOIA, our teams are typically distributed across our office locations and collaborate in a hybrid setup. We work together both remotely and on site, choosing the mode of collaboration that fits the context, the work at hand, and each team’s rhythm.
Spending time together in our offices is an important part of how we stay connected, build trust, and solve complex problems. At the same time, we value flexibility and give teams and individuals autonomy to shape their ways of working, with everyone having the freedom to organise their routines in a way that aligns with their work and their team’s needs.
If you’d like to learn more about how we work, visit our blog for insights into our culture and hiring process, or follow us on Instagram for a look behind the scenes at MOIA.
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.
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.
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