- Office in Munich
Description
The Opportunity
We’re looking for a Senior Data Engineer to architect and scale the data backbone powering next-generation AI models in robotics and real-world environments.
This role sits at the intersection of distributed systems, multimodal data processing, and applied machine learning, with a strong focus on building high-quality datasets for robotic foundation models. You will ensure that data pipelines, infrastructure, and data strategy directly translate into measurable improvements in model performance.
Your Responsibilities
- Drive the model–data loop by connecting application requirements with data collection, and translating model failures into data-driven improvements through collection, curation, and augmentation
- Build and scale distributed data pipelines (Ray/Anyscale or similar) for TB-scale video, sensor, and robotics datasets
- Design multimodal data schemas aligning video, actions, and high-frequency sensor streams
- Develop Python tooling for data quality, including cleaning, anomaly detection, and dataset versioning
- Own dataset quality and coverage, including annotation workflows, data diversity, and storage trade-offs
- Lead a small team and coordinate with data providers and annotation vendors
- Oversee real-world data collection, including technical setup, compliance, and secure data handling
Technologies
- Python (advanced, production-grade)
- Ray / Anyscale or Apache Spark
- AWS / GCP for large-scale data and GPU training pipelines
- Video and sensor data formats (H.264/H.265, ROS bags, MCAP)
- PyTorch, NumPy
- DVC, LakeFS or similar data versioning tools
- Distributed data processing and storage systems
Requirements
Must Have
- 5+ years in Data/ML Engineering, including 2+ years in a senior or lead role
- Experience with large-scale real-world data (robotics, autonomous systems, or video AI)
- Strong experience with Ray/Anyscale or Spark for distributed pipelines
- Advanced Python (performance, concurrency, ML stack like NumPy/PyTorch)
- Experience working with video and sensor data formats (e.g., H.264/H.265, ROS bags, MCAP)
- Experience building scalable data pipelines for GPU-based training workloads (AWS/GCP)
- Experience with data versioning tools such as DVC or LakeFS
- Proven experience owning systems and mentoring engineers
Nice to Have
- Experience building datasets for multimodal foundation models (VLA, VLM or similar)
- Robotics fundamentals (sensor synchronization, 3D transforms)
- Experience with active learning or data-centric ML workflows
Benefits
- Competitive compensation package
- Various employee subsidies and perks, including public transportation and Wellpass
- Work with a world-class team in a flat hierarchy, with direct collaboration alongside the founders and engineering team
- Opportunity to make a real impact by working on cutting-edge robotics and AI systems
- Fast growth potential in a rapidly evolving company and industry
- International office environment with English as the official working language
Recruiting Process
Your recruiting partner for this role is Madhulika (she/her). You can expect a screening call and up to 4 rounds of interviews including an onsite visit to our office in Munich to meet with the team.
We hire across backgrounds, identities, and experiences, and we are committed to a workplace where everyone belongs. Discrimination has no place here.
If you need any accommodations during the recruiting process, just reach out to your recruiting partner.
Apply Now
