Verne Robotics is seeking a Robotics Data Infrastructure Engineer to build and manage the data systems that power their robots. This role involves architecting data pipelines, managing multimodal ...
Verne Robotics
1 job near Columbus, OH
Verne Robotics is seeking a Robotics Data Infrastructure Engineer to build and manage the data systems that power their robots. This role involves architecting data pipelines, managing multimodal ...
Full-time
Re-posted 22 days ago
Job description
Job Summary:
Verne Robotics is seeking a Robotics Data Infrastructure Engineer to build and manage the data systems that power their robots. This role involves architecting data pipelines, managing multimodal datasets, and ensuring data quality to enhance robot functionality in real-world applications.
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.
Qualifications:
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 develops AI-powered robotic arms that autonomously learn tasks to automate labor work. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.
Verne Robotics is seeking a Robotics Data Infrastructure Engineer to build and manage the data systems that power their robots. This role involves architecting data pipelines, managing multimodal datasets, and ensuring data quality to enhance robot functionality in real-world applications.
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.
Qualifications:
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 develops AI-powered robotic arms that autonomously learn tasks to automate labor work. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.