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MercorMercorSan Francisco, CA

Software Engineer, Robotics Data

Build and own high-scale sensor data pipelines that ingest, process, QC, and deliver multi-modal physical-world data (video, depth, inertial, audio) to train frontier robotics and physical AI models. Requires strong production data engineering experience with video/sensor data at petabyte scale.

130k – 500k/yr
On-site5+ YOEData Engineering

About the role

What You'll Do

  • Build the end-to-end sensor data pipeline: ingest from capture devices in the field, through segmentation, pre-labeling, QC, and packaged delivery to customers
  • Design automated QC that validates recordings at scale: timing and sync integrity, calibration health, sensor continuity, coverage against requirements
  • Establish dataset schemas, versioning, provenance, and versioning, so every delivery has a clear system traceability
  • Build shared processing components such as privacy redaction, transcription, encoding, format packaging across all offerings
  • Integrate VLM-assisted pre-labeling and quality scoring into production workflows without sacrificing debuggability or human oversight

What Makes This Role Different

  • High ownership, early. This is a young, strategically central product area; the product you build will shape Mercor’s physical-world data collection standards
  • The data is the deliverable. The end product at Mercor is the data; what your pipeline produces is what shapes the models that large frontier lab trains on
  • Real physical-world scale. Your inputs come from devices operated by humans in global real world settings, for thousands of hours. Building systems that scale is precedent.

What We're Looking For

  • Strong production backend/data engineering experience — you've built and owned high-volume data pipelines
  • Experience processing video or sensor data at scale: large binary formats, streaming ingestion, distributed batch processing, object storage economics
  • Fluency in Python and comfortable with AWS
  • Genuine data taste: you can look at a sensor trace or a timing histogram and tell when something is off
  • Comfort in ambiguous, fast-moving problem spaces where requirements evolve with the customer

Nice to Have

  • Experience with robotics data formats and tooling (MCAP, ROS bags, protobuf, Foxglove), camera geometry, or multi-sensor calibration and synchronization
  • Computer vision or multimodal ML experience (detection, tracking, VLM-based labeling or QC)
  • Prior work on data engines for AV, robotics, or egocentric video

Benefits

  • Bi-annual performance bonus structure
  • Generous equity grant vested over 4 years
  • Up to $15k Relocation bonus
  • $10K housing bonus (if you live within 0.5 miles of our office)
  • $1.5K monthly stipend for meals
  • Free Equinox membership
  • $200 monthly laundry reimbursement
  • $200 monthly personal wellness reimbursement
  • Health, Dental, Vision insurance

Skills

PythonAWSData Pipelinesvideo processingsensor datadistributed processingobject storagemcapROSComputer Visionmultimodal mlvlm
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