Senior System Engineer

Senior Neuro-Symbolic Systems Engineer - San Francisco, CA 

A company building AI systems that can interact with the physical world at scale - designing experiments, controlling hardware, and accelerating scientific discovery from days to reality are looking for a Senior Neuro-Symbolic Systems Engineer to join their team.

What Will I Be Doing:

• Design and implement structured representations such as hypergraphs, relational models, symbolic planners, or similar abstractions
• Build update rules, inference mechanisms, and dynamic graph operations that support multi-step reasoning and coordination
• Work 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
• Operate as a cross-functional technical partner to ensure symbolic layers work alongside ML, RL, and systems architecture components

What We're Looking For:

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

What's In It For Me:

• Salary of $200,000 - $300,000 dependent on experience
• Greenfield work. Build something that doesn't exist, at the frontier of physical AI and automated hardware design
• Real impact. Control actual physical systems contributing to breakthroughs in cancer detection, materials science, and more
• Join a company backed by significant venture funding and a $42M government research programme

Apply now for immediate consideration!