Senior/ Staff Data Platform Engineer (F/M/D)

The Opportunity

We’re looking for a Staff 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

Requirements

Must Have

• 10+ years in Data/ML Engineering, including 6+ 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). The process includes a screening interview, two virtual technical interviews, and an onsite visit to our office in Munich to meet with the team.