Foxglove Tech Stack
Visualization and debugging platform for robotics and embodied AI
Foxglove builds a visualization and debugging platform purpose-built for robotics teams handling multimodal sensor data. The stack reflects this focus: Rust + WebAssembly + WebGL for performance-critical frontend work, ROS as a first-class integration, and heavyweight data infrastructure (Kubernetes, Spark, Databricks, PostgreSQL) to handle the scale problem their customers face—ingesting and replaying petabytes of multimodal sensor streams. The engineering-heavy org (28 of 44 open roles) with senior/staff-level hiring dominance signals deep technical problems in sensor data pipelines and real-time observability, not yet solved commodities.
Tech Stack 46 technologies
What Foxglove Is Building
◆Challenges
- Data infrastructure for robotics
- Observability for robotics
- Ingesting massive sensor data
- Managing multimodal sensor data
- Understanding robot failures
- Integrating platform into customer environments
- Managing petabytes of multi-modal data
- Analyzing massive multimodal sensor data
- Visualizing massive sensor data
- Providing low-latency playback
▲Active Projects
- Data infrastructure for robots
- Observability and visualization platform
- Customer platform integration
- Integrate foxglove platform into customer environments
- Contribute to core product development
- Develop observability tools for robotics
- Real-time sensor ingestion pipeline
- Expanding foxglove's presence in the defense sector
- Design system and component library
- End-to-end solution development
Hiring Activity
Department
Seniority
Notable leadership hires: Frontend Product Lead
