Robotics Data Infrastructure Engineer — AWS, Edge, Equity

Verne; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Free meals vouchers

Hardware access

Health benefits

PTO

Job summary

Verne Robotics is seeking a Data Infrastructure Engineer to own and build the data systems powering our robots in the real world. This hands-on founding engineer role offers true ownership and freedom—your work will directly impact robots performing customer-critical tasks every day.

You will architect and deploy data pipelines on AWS and edge devices, manage large multimodal datasets, and build tooling that connects real-world robot data to training and evaluation workflows.

Qualifications

• Bachelor’s/Master’s/PhD in computer science or related field.
• Strong Python production code experience.
• Strong experience in AWS and cloud data pipelines.
• Systems engineering skills including networking, concurrency and performance.
• Minimum 2 years full-time experience for BS holders; 1 year for MS/PhD holders.

Responsibilities

• Build and own data backbone on AWS and edge devices, ensuring reliable data flow.
• Develop on-device data capture and ensure robust, resumable uploads to the cloud.
• Wrangle multimodal datasets including images, video, time-series and text.
• Build MLOps/DataOps pipelines with containerized jobs and orchestrators.
• Implement data quality checks, schema validation, deduping, drift detection, and alerting.
• Create internal tools (UIs/CLIs) for data exploration, job launching, and experiment tracking.
• Collaborate with hardware, ML, and product teams to turn field data into smarter robots.

Skills

Python

AWS

Data pipelines

Edge devices

Systems engineering

Concurrency

Education

B.S./MS/PhD in CS or related

MS/PhD preferred

Tools

MCAP/Protobuf

IoT Core

S3

ECR

Batch

EKS/Step Functions

Airflow/Prefect

Job description

Verne Robotics is seeking a Data Infrastructure Engineer to own and build the data systems powering our robots in the real world. This hands-on founding engineer role offers true ownership and freedom—your work will directly impact robots performing customer-critical tasks every day.

You will architect and deploy data pipelines on AWS and edge devices, manage large multimodal datasets, and build tooling that connects real-world robot data to training and evaluation workflows.