Robotics Data Pipeline Lead – Remote

Remotebridge

United States

Remote

USD 120,000 - 160,000

Full time

45 hours ago
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Benefits offered by this job

Equity compensation
Performance-based bonuses
Remote-first benefits
Health-insurance premium reimbursement

Job summary

micro1 is seeking a Strategic Project Lead (Robotics) to own robotics data pipelines end-to-end, from capture to delivery, ensuring quality and efficiency. You will work across engineering, operations, and finance to drive execution on complex projects.

Ideal candidates have hands-on experience with sensor systems, multi-camera setups, and large-scale data processing, with strong communication across technical and non-technical teams.

Qualifications

  • Experience with robotics and high-throughput data pipelines.
  • Hands-on with sensors, FPS constraints and multi-camera setups.
  • Ability to define schemas, protocols and operational standards.

Responsibilities

  • Own robotics data pipelines end-to-end with accountability for quality and delivery.
  • Design and optimize large-scale data collection and processing pipelines.
  • Scale operations by balancing cost, quality and throughput.
  • Deploy and manage hardware systems (multi-camera rigs, RGB/stereo/IMU sensors).
  • Lead data transformation pipelines aligned with client schemas and formats.
  • Identify bottlenecks and build automation for validation, QA, and reporting.
  • Define and enforce capture protocols, workflows, and operational standards.
  • Translate client requirements into executable systems and processes.
  • Work closely with engineering, operations and finance to drive execution.

Skills

Robotics pipelines
Sensor systems
Multi-camera setups
Data processing
Cross-functional communication
Cost quality optimization

Job description

micro1 is seeking a Strategic Project Lead (Robotics) to own robotics data pipelines end-to-end, from capture to delivery, ensuring quality and efficiency. You will work across engineering, operations, and finance to drive execution on complex projects.

Ideal candidates have hands-on experience with sensor systems, multi-camera setups, and large-scale data processing, with strong communication across technical and non-technical teams.

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