Grafton Sciences Logo

Grafton Sciences

Senior Neuro-Symbolic Systems Engineer

Sorry, this job was removed at 08:19 p.m. (PST) on Monday, Jan 19, 2026
Be an Early Applicant
In-Office
Redwood City, CA, USA
In-Office
Redwood City, CA, USA

Similar Jobs

4 Minutes Ago
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
240K-255K Annually
Senior level
240K-255K Annually
Senior level
Digital Media • Mobile • Productivity • Social Media • Software
Lead and grow a team of server, web, and full-stack engineers for a business management platform. Remain hands-on: review and contribute code, shape architecture, define roadmaps, set success metrics, remove blockers, and collaborate with product, design, and data science. Drive adoption of AI-enabled tooling to improve engineering velocity and operational efficiency.
Top Skills: GoNode.jsReactTypescript
13 Minutes Ago
Easy Apply
Hybrid
Easy Apply
68K-80K Annually
Mid level
68K-80K Annually
Mid level
eCommerce • Kids + Family • Retail • Sales • Design • Manufacturing
Manage new product development projects and product improvements from planning through implementation. Maintain product status databases, coordinate sampling, testing, photography, and cross‑functional communication (US and Asian sourcing). Lead weekly brand and sales check‑ins, deliver product training, update product content in Salsify, and implement process improvements to increase team efficiency.
Top Skills: Ai ToolsAirtableExcelGoogle SheetsMS OfficePowerPointSalsify
15 Minutes Ago
Hybrid
San Francisco, CA, USA
170K-303K Annually
Senior level
170K-303K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Lead and mentor a team of engineers in Linux Kernel and systems development, overseeing delivery, debugging, and team performance.
Top Skills: ArmAutomationCi/CdLinux KernelX86

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 Neuro-Symbolic Systems Engineer to design and build the graph-based representations that underpin autonomous reasoning and decision systems. You’ll work on symbolic and relational structures (for example, hypergraphs, dynamic rule systems, and structured planning representations) that allow agents to model complex environments, update internal state, and coordinate across tools and workflows. This role blends ML, symbolic reasoning, and systems engineering.

Responsibilities

• 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.

Qualifications

• 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.

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

Compensation

We offer competitive salary, meaningful equity, and benefits.

HQ

Grafton Sciences Redwood, California, USA Office

Redwood, CA, United States

Grafton Sciences San Francisco, California, USA Office

San Francisco, CA, United States

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account