Solution

As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.

About The Role

We are looking for a Senior/Staff Software Engineer (Data) to help transform our rapidly growing universe of raw robotic data into a dependable, scalable foundation for learning, simulation, and system performance.

You will be part of a specialised team responsible for designing and maintaining the data pipelines that connect control, perception, simulation, and learning systems. This role involves close collaboration with robotics engineers, machine learning researchers, and software developers. You will own critical aspects of our data platform, shape data models and schema design, implement quality controls, and optimise systems for high-throughput and reliable processing. It’s ideally suited to someone passionate about building foundational systems at the intersection of AI and robotics, who enjoys solving practical challenges and working across disciplines to turn complexity into clarity.

What You’ll Do

• Develop the backbone of our HMND robot Capability Factory.
• Curate, preprocess, and manage large-scale datasets for humanoid robot training—projected to grow to petabytes by 2026.
• Build highly scalable data pipelines on massive infrastructure tens of thousands of vCPUs.
• Ensure the quality, accuracy, and consistency of data across multiple projects.
• Collaborate with machine learning teams to design data pipelines that support efficient training workflows.
• Develop and maintain data quality metrics reporting systems.
• Implement best practices for data management, including versioning, security, and compliance.

We’re Looking For

• Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field.
• 5+ years of experience in data engineering and data quality.
• Strong proficiency in one the programming languages, such as Python, Java, Scala, C++, etc.
• Experience with distributed computing frameworks such as Ray, Spark, and MapReduce.
• Attention to detail and a strong commitment to data integrity.
• Excellent problem-solving skills and ability to work in a fast-paced environment.

Nice To Have

• Experience developing infrastructure for petabyte-scale data platforms.
• Deep, hands-on expertise in low-level and system-level engineering, including operating systems, networking, and large-scale infrastructure internals.
• Understanding of ML requirements and experience working with ML teams.
• Experience with DBT, Prefect, and Databricks.
• Familiarity with robotics or the self-driving field.
• Experience with cloud-based data storage and processing solutions. AWS would be a plus.
• Passion for contributing to the development of advanced humanoid robots.

Benefits

• Competitive salary plus participation in our Stock Option Plan
• Paid vacation and travel opportunities to our London, Vancouver, and Boston offices
• Office perks: free breakfasts, lunches, snacks, and regular team events
• Freedom to influence the product and own key initiatives
• Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics
• Startup culture prioritising speed, transparency, and minimal bureaucracy