Responsibilities
- Develop and maintain internal visualization systems that improve system observability and assist in debugging.
- Create automated tools that deploy updated machine learning models to robots daily, validated against simulator benchmarks to detect performance regressions.
- Design and manage data ingestion pipelines and cloud-based storage solutions to collect and process field data for model training.
- Build remote monitoring, diagnostics, and dashboarding tools to track fleet health and operational status.
- Implement deployment infrastructure, including feature toggles and gradual rollouts, to safely release software and firmware updates.
Benefits
- High level of individual ownership over projects and systems
- Significant equity compensation included in the offer
Team
small
