Senior Data Infrastructure Engineer

Grafton Sciences • Full-time • San Francisco, California, United States • $136.45k - $177.69k / year • 7h ago

About Grafton Sciences

We’re building AI systems with general physical ability — the capacity to experiment, engineer, or manufacture anything. We believe achieving this is a key step towards building superintelligence. With deep technical roots and real-world progress at scale (e.g., a $42M NIH project), we’re pushing the frontier of physical AI. Joining us means inventing from first principles, owning real systems end-to-end, and helping build a capability the world has never had before.

About the Role

We’re seeking a Senior Data Infrastructure & Telemetry Engineer to build and maintain the data backbone that supports agent orchestration, simulation, RL, verification, and large-scale experimentation. You’ll create the systems that capture, store, index, and serve the world-state graph, telemetry streams, digital twin parameters, simulation data, and experiment traces. This role requires a systems-minded engineer who can design high-performance data architectures, ensure deterministic retrieval, and integrate tightly with ML, simulation, and tooling teams.

Responsibilities

Architect and maintain databases, telemetry pipelines, and storage systems for world-state, hypergraphs, simulations, and experiment data.
Build ingestion, indexing, and retrieval workflows that support RL, verifiers, digital twins, and agent systems.
Develop structured interfaces and APIs for reliable, high-throughput access to time-series data, logs, traces, and metadata.
Collaborate with ML, systems architecture, simulation, and tooling teams to ensure data fidelity, performance, and reproducibility.

Qualifications

Experience building data infrastructure for large-scale, high-throughput, or real-time systems (e.g., telemetry, simulation, robotics, ML).
Strong understanding of databases, time-series storage, data modeling, distributed systems, and structured APIs.
Ability to design robust ingestion pipelines and work with complex, heterogeneous data generated by real-world systems.
Comfortable owning end-to-end data reliability and working across engineering, ML, and systems teams in a fast-moving environment.

Above all, we look for candidates who can demonstrate world-class excellence.

Compensation

We offer competitive salary, meaningful equity, and benefits.