Robotics Data Infrastructure Engineer

About the role

The Role

We’re looking for a Robotics Data Infrastructure Engineer to own and build the data systems that power Verne’s robots in the real world. This is a hands-on founding engineer role with true ownership and freedom — your work will directly impact robots performing customer-critical tasks every day.

You will architect and deploy data pipelines on both AWS and edge devices, manage large-scale multi-modal datasets (images, video, time-series, text, etc.), and build the tooling that connects real-world robot data to training and evaluation workflows. You’ll work across the full robotics software stack, from ingesting sensor data and telemetry, to enabling large-scale policy learning pipelines that drive production robots.

Beyond writing great code, you’ll help drive technical decisions, lead cross-functional efforts, and bridge robotics, machine learning, and product requirements into scalable, reliable systems.

What You’ll Do

- Build and own our data backbone on AWS: Design and run cloud + edge pipelines using services like IoT Core, S3, ECR, Batch, ECS/EKS, and Step Functions. Your work keeps robot data flowing reliably and cost-efficiently from the field into the lab.

- Develop on-device data systems: Build robust, fault-tolerant data capture on edge PCs using MCAP/Protobuf, with clean schema contracts, buffering, and resumable uploads to the cloud.

- Wrangle massive multimodal datasets: Organize and version millions of images, videos, time-series (robot state, force/torque), and annotations. Enforce 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 like Batch, Step Functions, Airflow, or Prefect.

- Ensure data quality and health: Create ingestion checks, schema validation, deduping, drift detection, and real-time alerting around data freshness and completeness.

- Build internal tools that unblock others: Develop UIs/CLIs for browsing data, launching jobs, tracking experiments, and debugging robots in the field. Integrate with tools like Foxglove.

- Work across teams: Partner with hardware, ML, and product to turn raw field data into smarter robots and real customer value—fast.

Qualifications

- B.S., M.S., Ph.D. in computer science or related fields.

- Strong programming skills in Python (you write clean, efficient, production-ready code)

- Strong experience in AWS

- Systems engineering skills (networking, concurrency, performance)

- At least 2 years of full-time work experience for candidates with a B.S. in related fields. 1 years of experience for M.S. or Ph.D. candidates.

Why Join Us

At Verne, you won’t just be writing code — you’ll be shaping the future of physical AI. Our mission is simple but ambitious: free humans from tedious manual work by deploying low-cost robotic automation at scale and democratizing bimanual robot manipulators for the world.