Senior/Staff Software Engineer - Data Platform

About the role

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.

ABOUT THE ROLE

We're hiring a Senior or Staff Software Engineer to join our Data Engineering team based in London.

As the Data Platform Team, we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.

We’re looking for experienced Engineers to help build our data platform from the ground up. You’ll have the opportunity to define its architecture, make key decisions, and shape how we handle and process petabyte-scale data in the near future.

WHAT YOU'LL DO

- Build the Capability Factory - an internal platform designed for everyone from software engineers to non-technical operators, enabling the entire organization to teach HMND robots new skills at scale, from raw data all the way to deployed capabilities.

- Curate, preprocess, and manage large-scale datasets for humanoid robot training - a corpus of robot telemetry growing toward petabyte scale.

- Design and operate highly scalable data pipelines and the compute infrastructure that powers them, ensuring reliability and throughput as data volume and team demands grow.

- Ensure the quality, accuracy, and consistency of training data across multiple concurrent projects and robot platforms.

- Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance.

- Build data warehouse solutions and BI dashboards that give stakeholders across the organization clear visibility into data collection, model progress, and operational health.

- Establish and uphold best practices for data management - versioning, access control, security, and compliance.

WHAT WE'RE LOOKING FOR

- 5+ years of software engineering experience, with a track record of owning and delivering complex systems end-to-end, not just contributing to them.

- Strong backend engineering - designing and operating production-grade APIs and services: clean data modeling, reliable error handling, performance under load.

- Data engineering at PB+ scale - building and maintaining pipelines that move, transform, and validate large volumes of data reliably; understanding of batch and streaming processing patterns, data quality, and schema evolution.

- Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling.