Senior System Engineer

🚀 Senior Neuro‑Symbolic Systems Engineer

Location: Offices in SF and Redwood City, CA

We’re building a physical superintelligence — AI paired with automated experiment factories that can test real‑world scientific ideas in days, not months. With deep technical roots and progress at scale (including work tied to a $42M NIH initiative), we’re pushing the frontier of physical AI.

$/yr - $/yr

• Design and implement structured representations such as hypergraphs, relational models, symbolic planners, or similar abstractions.
• Build update rules, inference mechanisms, and dynamic graph operations to support multi‑step reasoning and coordination.
• Work closely with agent, simulation, and data infrastructure teams to integrate symbolic structures into real workflows.
• Develop tools for evaluating correctness, consistency, and stability of graph‑based representations.
• Partner cross‑functionally to ensure symbolic layers work seamlessly with ML, RL, and systems architecture components.

• Strong background in symbolic AI, knowledge representation, graph systems, computational logic, or neuro‑symbolic methods.
• Experience implementing structured representations for planning, reasoning, or complex workflows.
• Familiarity with modern ML tooling and comfort bridging symbolic and statistical systems.
• Ability to design abstractions and architectures that support large‑scale, real‑time updates.
• High‑agency engineer who thrives on defining new structures and building from first principles.

If you’re excited by building the reasoning layer for physical superintelligence, we’d love to hear from you.

Mid‑Senior level

Full‑time