Team Lead Robotics MLOps & Data Engineering (f/m/d)

Darum lohnt es sich

ph3Team Lead Robotics MLOps Data Engineering (f/m/d) /h3 pbHexagon Robotics /b is a division of Hexagon – a global leader in precision measurement. You will lead our Data Flywheel team—responsible for the collection, curation, quality assurance, and cloud‑scale storage of multimodal data that powers our embodied AI models.

Your mission is to design and execute our strategy for building a foundational dataset that enables large‑scale Vision‑Language‑Action (VLA) models for humanoid robots. /p pYour leadership will directly determine the pace at which AEON becomes more capable, reliable, and autonomous. /p h3Your Mission /h3 ul liBuild and lead a world‑class data organization, fostering mentorship, growth, technical excellence, and ownership /li liOwn the end‑to‑end data flywheel—from collection and annotation to quality, governance, and Azure storage—ensuring high‑fidelity data flows into training /li liDefine the dataset strategy and roadmap for scalable, diverse training data for large VLA models in close partnership with research /li liArchitect and evolve a robust Azure‑based cloud data platform (ingestion, labeling, cataloging, versioning, compliance) /li liOperationalize the data lifecycle with clear processes, KPIs, and feedback loops across collection, training, and deployment /li liPartner closely with Product, Research, and Robotics as the central point of contact for data strategy /li /ul h3Your Skillset /h3 ul li3+ years of experience leading or managing technical teams in a fast‑paced environment /li li5+ years of work experience in data engineering, ML systems, cloud infrastructure, or similar domains /li liAn advanced degree (Master’s or PhD) in Computer Science, Machine Learning, Data Engineering, or a related field /li liProven ability to design and scale large‑scale data pipelines, data platforms, or cloud‑based storage systems (Azure experience highly valued) /li liExperience building or managing datasets for deep learning‑based systems, ideally including multimodal data /li liDirect experience with data flywheel architectures, data collection operations, or high‑throughput cloud data platforms is a major plus /li liStrong foundations in Python, cloud data tooling, and modern data/ML engineering practices /li liExperience working within robotics ecosystems (ROS2 or similar) is beneficial but not required /li /ul h3What You’ll Get /h3 ul liFlexible working hours and a hybrid model for real work‑life balance /li liCHF 500 mobility credit for sustainable commuting /li liBonus system strong pension contributions /li liTailored training development opportunitiesRelocation support for a smooth start /li liDiscounts on health, mobility entertainment /li liTeam events and a flat hierarchy where your voice counts /li liA warm, international culture built on respect and collaboration /li /ul /p #J-18808-Ljbffr The division develops humanoid robots for industrial sectors to address labor shortages and accelerate the transition from automation to autonomy.

Our first humanoid, AEON, was launched in June 2025 and is already in pilots with five customers. /p pWe are looking for a technical leader who can combine strong systems thinking with effective engineering and people management.