Acceler8 Talent
Senior System Engineer (San Francisco)
Acceler8 Talent, San Francisco, California, United States, 94199
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!
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!