Overview
Responsibilities
Full 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
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
laptop-ats-crawler v2
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Pivotrobotics (ashby) ↗Browse current Job and Scholarship listings from Pivotrobotics (ashby) →