Senior Data Platform Engineer (F/M/D)

Job summary

The Senior Data Platform Engineer role focuses on architecting and scaling data systems to enhance AI models in robotics. Key responsibilities include building distributed data pipelines using Ray/Anyscale, developing Python tooling for data quality, and overseeing real-world data collection while ensuring dataset quality and coverage.

Qualifications

• 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

Responsibilities

• Drive the model–data loop by connecting application requirements with data collection
• Build and scale distributed data pipelines 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

Skills

Relocation