Senior System Engineer

Acceler8 Talent; San Francisco (CA); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Greenfield work

Significant venture funding

Impact on scientific breakthroughs

Job summary

A leading AI company based in San Francisco is seeking a Senior Neuro-Symbolic Systems Engineer to enhance AI systems interacting with the physical world. Candidates will design and implement complex representations, work with cross-functional teams, and bridge symbolic AI with ML techniques. The role offers a competitive salary between $200,000 and $300,000, innovative work impacting various scientific fields, and the chance to build something from the ground up in a venture-backed environment.

Qualifications

• Strong background in symbolic AI and complex workflows.
• Experience designing structured representations for reasoning.
• Familiarity with ML toolchains and symbolic systems.

Responsibilities

• Design and implement structured representations like hypergraphs.
• Build update rules and dynamic operations for multi-step reasoning.
• Collaborate with other teams to integrate symbolic structures.

Skills

Symbolic AI

Knowledge representation

Graph systems

Computational logic

Neuro-symbolic methods

Job description

Base pay range: $200,000.00/yr - $300,000.00/yr

Direct message the job poster from Acceler8 Talent

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!

Seniority level: Mid‑Senior level

Employment type: Full‑time

Job function: Information Technology

Industries: IT Services and IT Consulting