Senior Embedded Systems Engineer (m/f/d) – Computer Vision

Join us as a Senior Embedded Systems Engineer (m / f / d) in our Cabin Safety team on a shared journey that matters!

To make the vision of an autonomously driving mobility service a reality we are building up the business domain of Vehicle Integration with new product development teams.

These teams develop the applications and tools needed to enable autonomous passenger management within our MOIA vehicles in a world without a driver : How do passengers authenticate themselves in the vehicle without a driver?

How to always ensure a safe cabin during boarding and during the ride? Which content should be displayed on the vehicle screens to provide a safe and informative user experience for the passenger?

The Cabin Safety team owns the vertical integration of features which make the journey of our customers a safe ride. We focus on key moments like boarding but also monitor operations continuously to identify smaller issues or dangerous situations.

We use a multi sensor layer approach to perform our functions also in challenging environments.

The 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 owners.

Join the team if you want to solve challenges in an agile and customer-driven environment.

Join us either in Hamburg or Berlin onsite!

Do you live in Germany but you do not wish to relocate to Hamburg or Berlin? That's not a problem. We work in a hybrid working mode which is full of home office flexibility, and if you are open to visit the Hamburg office once per month to spend some time with the team and our partners then we are a perfect match!

What you will do

• Integrate and develop camera-based cabin surveillance solutions
• Design and continuously optimize these solutions according to our business goals
• Plan and execute tests for functionality and performance evaluation
• Build these systems with respect to industry standards for safety, security, and quality management
• Lead alignments with suppliers and partners on camera-based solutions for monitoring the vehicle cabin
• Support the team with expert knowledge and guidance in embedded engineering, mentor colleagues in your field of expertise and provide direction if needed as part of your daily work
• Be part of the full development life cycle, from design to implementation, quality assurance, and maintenance
• Work in a bottom-up managed, autonomous, cross-functional team together with other talented engineers

What will help you to fulfil your role

• You have a strong focus on video processing algorithms on embedded hardware as well as on machine / deep learning algorithms
• You have solid knowledge of software architecture, implementation, and testing principles
• You worked in industries with high reliability and quality demands (automotive, medical, aerospace, or similar), for example with ASPICE , ISO26262, homologation
• You have experience in designing technical solutions according to abstract business use cases
• You have experience in evaluating the performance of machine / deep learning algorithms
• You have worked with C++ 11 / 14 or later, having touched Python is beneficial
• You have hands-on experience with video streaming technologies / frameworks like gstreamer (plugins)
• You have experience with the Linux platform as both user and developer on multicore ARM-based SoCs
• You are familiar with some of the utilized communication protocols like RTSP , MQTT and SOME / IP
• You are familiar with SiL and HiL testing integrated into CI / CD
• It would be a nice-to-have if you previously worked with ROS / ROS2 or AUTOSAR

We encourage you to apply even if your profile does not meet all the requirements for the role since we are looking for a diverse range of experiences, skills, and interests.

We are certain that there will be something for everyone because we are working on such a variety of tasks and embrace individual growth at MOIA.

In case you have questions regarding your application, you can approach the recruiter or the hiring manager directly.

Our benefits in a nutshell

• Competitive salary (including bonus)
• Hybrid work setup, flexible working hours, and 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 of Germany for up to 4 weeks per year from over 40 different countries - Connect work & travel!
• Public transport ticket (fully subsidized) for commuting and traveling 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 (at our Hamburg location)

For student & internship positions, we have an adjusted set of benefits. You can find them .

Be who you are!

We are a member of 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.

To reinforce an unbiased screening process, we kindly ask you not to include your picture, age, address, or any other details that are unrelated to your qualifications and suitability for the role.

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.