Senior Data Platform Engineer (F/M/D)

The Opportunity

We’re looking for a Senior Data Platform 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

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

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). The process includes a screening interview, two virtual technical interviews, and 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.