Job Description
Responsibilities- Design and own the schemas and data models behind our production systems
- Build and maintain data infrastructure on AWS
- Build the artifact store for scans, meshes, model checkpoints, and calibration files
- Build edge-to-cloud pipelines between robotic cells and our infrastructure
- Build ML infrastructure: training pipelines, dataset versioning, and model deployment
Requirements
- 2+ years building data infrastructure on AWS (application-side, not platform operations)
- Strong schema design and data modeling, including distributed systems tradeoffs
- ML infrastructure experience
- Ability to work across the stack, from analyzing data to designing the systems around it
- Willingness to travel to customer sites
Preferred
- Data infrastructure in a robotics, autonomy, or industrial IoT setting
- Edge computing experience
- Interest in manufacturing
Numbers & Facts
| Location | San Francisco, California |
Skills
Amazon Web Services (AWS)unmatched
Calibrationunmatched
Cloud Computingunmatched
Computer Skillsunmatched
Data Analysisunmatched
Data Modelingunmatched
Database Designunmatched
Distributed Computingunmatched
Internet of Thingsunmatched
Manufacturingunmatched
Production Systemsunmatched
Roboticsunmatched
Training Data Setsunmatched
Willing to Travelunmatched
Level up your application
Browse dozens of recruiter approved resume templates, layouts and formats. Choose your favorite and make it your own in minutes.
Free resume templatesImprove your existing resume or start from scratch and create a standout, ATS-friendly resume. Add job-specific content, download and apply.
Free resume builder