Verne Robotics · 1 month ago
Robotics Data Infrastructure Engineer
San Francisco, CA, US
Full-time
Onsite
Entry Level
$110K/yr - $175K/yr
1+ years expVerne Robotics is seeking a Robotics Data Infrastructure Engineer to build and manage the data systems that power their robots. The role involves architecting data pipelines, managing large-scale datasets, and collaborating across teams to enhance robotic capabilities.
Artificial Intelligence (AI)HardwareInformation TechnologyRobotics
No H1B
Responsibilities
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
Qualification
Required
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
Company
Verne Robotics
Verne Robotics develops AI-powered robotic arms that autonomously learn tasks to automate labor work.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$0.5MKey Investors
Y Combinator
2025-09-09Pre Seed· $0.5M
Company data provided by crunchbase