Tech Stack
Responsibilities
- Design, deploy, and operate production inference infrastructure — including model serving, autoscaling, load balancing, and cost optimization across cloud environments
- Own the platform architecture for embedding and retrieval pipelines that power semantic search over multimodal robotics data (image, video, point cloud, and timeseries)
- Build and maintain the training and evaluation infrastructure that enables rapid iteration on model performance — including job orchestration, experiment tracking, and dataset versioning
- Drive cloud infrastructure decisions (AWS/GCP) that directly impact latency, throughput, reliability, and cost at scale
- Define platform abstractions and internal tooling that let product engineers ship ML-powered features without needing to manage infrastructure themselves
Benefits
- 401k
- Equity
- Health Insurance
- Remote Work
Culture
Home Office BudgetCross-Functional TeamsHigh GrowthMission-DrivenAutonomous Teams
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About Foxglove
Industry: robotics
Size: startup
Foxglove builds observability, visualization, and data infrastructure tools for robotics and autonomous systems teams to manage and analyze massive volumes of multimodal sensor data. They enable engineers to ingest, store, query, replay, and analyze data from live systems and production fleets.
View company profile →Compensation
Equity: Competitive equity grant in a Series B company