Robotics Data Pipeline Engineer

Robotics Data Pipeline Engineer focuses on operate multimodal pipelines for robotics/physical ai datasets: ingestion, transformation, validation, and delivery packaging.

What the role involves

• Operate multimodal pipelines for robotics/physical AI datasets: ingestion, transformation, validation, and delivery packaging.
• Define “training-ready” as enforceable checks: alignment validation, integrity checks, schema enforcement, and reproducibility standards.
• Build tooling to inspect, transform, and audit datasets (large files, long-running jobs, real-world edge cases).
• Collaborate with Ops/Delivery and Hardware & Integration to ensure capture metadata and formats support downstream usability.
• Work with partners/vendors/clients to align on formats and best practices.
• Turn external constraints into concrete pipeline requirements.

Skills and requirements

• Relevant technical experience with the stack, platform, data, or support environment is important.

Confirmed role details

• Friendly, high-ownership role. Writing and maintaining clear docs is part of the job.
• Travel may be required occasionally for partner debugging and alignment.

Candidate fit

• technical problem-solving, careful delivery, documentation discipline, and clear communication with stakeholders

Additional role context

• Miraxis is building the rights-cleared data factory for robotics and physical AI.