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Robotics Data Infrastructure Engineer

Verne Robotics· Engineering
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Hybrid (San Francisco, CA)$110k - $175k + equityFull-timePosted 10mo ago

About the role

Hands-on founding engineer role to own and build Verne’s data systems powering real-world robots. Architect and deploy data pipelines (cloud + edge), manage large multimodal datasets, and create tooling that connects field data to training and evaluation workflows.

Responsibilities

  • - Build and own our data backbone on AWS: design and run cloud + edge pipelines using IoT Core, S3, ECR, Batch, ECS/EKS, Step Functions.
  • - Develop on-device data systems: robust data capture on edge PCs using MCAP/Protobuf, with schema contracts, buffering, and resumable uploads to the cloud.
  • - Wrangle massive multimodal datasets: organize and version images, videos, time-series, and annotations with metadata, retention, and access patterns that scale.
  • - Build MLOps and DataOps pipelines: automate data validation, labeling, augmentation, and model training/evaluation using containerized jobs and orchestrators.
  • - Ensure data quality and health: ingestion checks, schema validation, deduping, drift detection, real-time alerting for data freshness.
  • - Build internal tools: UIs/CLIs for data browsing, launching jobs, tracking experiments, debugging robots; integrate with Foxglove.
  • - Work across teams: partner with hardware, ML, and product to turn raw data into smarter robots and real customer value.

Qualifications

  • - B.S., M.S., Ph.D. in computer science or related fields.
  • - Strong programming skills in Python (production-ready code).
  • - Strong experience in AWS.
  • - Systems engineering skills (networking, concurrency, performance).
  • - At least 2 years of full-time work experience for B.S. holders; 1 year for M.S. or Ph.D. holders.

Skills

Required:PythonAWSData pipelinesEdge computing
Nice to have:MLOps / DataOps
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Verne Robotics

AI models that teach robots new skills in hours

We build AI models for controlling robot arms, enabling them to learn new skills in just hours. Our robots help businesses cut costs by automating back-of-house tasks with an innovative pay-by-the-hour business model. Our customers include a biotech unicorn, a leading biotech non-profit, and a direct to consumer apparel brand.

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