Data Engineer (Robotics) (m/f/d) - Verification & Validation at MOIA

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

0.0

Posted On

23 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Robotics, Python, C++, Bash, Linux, Data Pipelines, Sensor Data, Cloud Platforms, Debugging, Data Quality, Collaboration, Anomaly Detection, Data Processing, Simulation, Machine Learning

Industry

Software Development

Description

Join us as an Data Engineer - Robotics (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. Our mission is to answer the critical question: "Is the system ready to deploy?" We build and maintain the data foundations that power simulation, testing, and real-world validation—enabling engineers across the company to trust the data they work with. We're a diverse group with backgrounds spanning robotics, gaming, scientific computing, aerospace, and automotive. Whether you come from autonomous systems, simulation engines, or high-performance data processing in other domains, we value the fresh perspectives that diverse experiences bring. Collaboration, curiosity, and the drive to solve complex problems are what unite us. What you will do Build robust data pipelines Design, build, and maintain high-performance data pipelines that ingest, synchronize, transform, and validate sensor data from simulation and real-world test fleets. Work with robotics logging formats (MCAP, ROSbags, or similar): reading, writing, parsing, indexing, validating, and transforming log data at scale. Process multi-modal sensor data including camera, LiDAR, radar, GPS, and vehicle bus data. Handle timestamp synchronization, sensor alignment, and high- frequency data processing. Build cloud-scale storage solutions and data architectures for large datasets. Ensure data quality Compare simulation data against real-world logs, ensuring consistency and evaluating data quality. Detect anomalies, assess data robustness, and ensure dataset quality for machine learning, perception, and downstream teams. Perform data preparation, metadata extraction, indexing, and quality assessment. Interpret complex sensor logs, identify issues, and extract actionable insights. Debug data issues across multiple sensors and sources. Collaborate across teams Work closely with Simulation, Perception, ML, and Systems teams to translate requirements into robust data solutions. Support cross-functional teams with data-driven insights for test strategy optimization. Share knowledge through documentation, presentations, and collaboration sessions. Contribute to continuous improvement of data processes and methodologies. What will help you to fulfill your role You have a background in data engineering, robotics, scientific computing, simulation, or a related technical field—with hands-on experience building data pipelines for sensor-rich or high-throughput environments. You have strong programming skills in Python and/or C++, plus proficiency with Bash and Linux environments. You have experience with timeseries logging formats used in robotics or simulation (such as MCAP, ROSbags, HDF5, or similar) and have built large-scale data pipelines for complex datasets. You have worked with multi-modal sensor data or high-dimensional timeseries data. Experience with camera, LiDAR, radar, or similar sensor types is valuable—but equivalent experience from scientific instrumentation, gaming, or simulation is equally relevant. You're familiar with cloud platforms (AWS, GCP, or Azure) and understand how to build scalable data architectures. You have strong debugging skills and enjoy investigating complex data issues across multiple sources. You're curious and analytical, with persistence when untangling intricate datasets. You don't just find problems—you understand root causes and build solutions that prevent them. Nice to have: Experience with ROS / ROS2 or other robotics middleware. Background in simulation platforms (Unity, Unreal, CARLA, Gazebo, or similar). Contributions to open-source robotics or data tooling. Experience with SLAM, mapping, localization, or perception systems. Familiarity with visualization tools such as Foxglove, RViz, or custom interfaces. Experience with workflow orchestration (Airflow, Kubeflow, Prefect). Experience with containerized environments (Docker, Kubernetes). Understanding of safety standards (ISO 26262, SOTIF) or automotive regulations. Knowledge of sensor fusion, calibration, or coordinate 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.

Responsibilities

The Data Engineer will build and maintain high-performance data pipelines for sensor data and ensure data quality by comparing simulation data against real-world logs. They will collaborate with various teams to provide data-driven insights and contribute to continuous improvement of data processes.