Verne Robotics
Robotics Data Infrastructure Engineer
$110K–$175K
San Francisco · On-site · Full-time · Posted Feb 13, 2026
- Experience
- At least 2 years of full-time work experience for candidates with a B.S. in related fields; 1 year for M.S. or Ph.D. candidates.
- Education
- B.S., M.S., Ph.D. in computer science or related fields.
About the job
Build and operate cloud and edge data infrastructure that captures, organizes, and prepares real-world robot data for training, evaluation, and production robotics workflows.
What you'll do
- Design AWS and edge data pipelines, including reliable on-device capture and cloud uploads.
- Build multimodal dataset, MLOps, and DataOps workflows for validation, training, and evaluation.
- Develop data-quality monitoring and internal tools, and collaborate across hardware, ML, and product teams.
What they ask for
- B.S., M.S., Ph.D. in computer science or related fields.
- Strong programming skills in Python.
- Strong experience in AWS.
- Systems engineering skills in networking, concurrency, and performance.
Pay
$110K – $175K USD base salary
Tools
Python, AWS, IoT Core, S3, ECR, Batch, ECS/EKS, Step Functions
AI focus
Supports imitation learning and policy-learning workflows by connecting real-world robot data to model training and evaluation.
Model-written summary · the original posting is authoritative