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# Software Engineer - Physical AI Security

- **Company:** Decisive Point
- **Location:** Sunnyvale, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Database Schema, Intrusion Detection and Prevention, Python (Programming Language), TypeScript, Web Applications, ReactJS, Large Language Models, Backend, Agentic-AI, Information Technology, Front End Software Development
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_6dbf11438138dca83e5ce10ffd63c597

## About the Role

* B.S. in Computer Science or a related field, or equivalent practical experience with 5+ years building and shipping production software
 * Experience across the stack using TypeScript and React
 * Proficiency with a typed backend server language (Go, Rust, Python, or similar) owning features from schema to UI
 * Experience building information-dense interfaces for expert users, including large tables, live-updating views, structured authoring, and keyboard-driven navigation

Nice to have:

 * Background in security engineering or building security web applications, tools, or a security platform
 * Experience in the cybersecurity domain as a software engineer

## Description

We're building a Physical AI security platform - a system powered by AI agents that supports in building secure Physical AI and Vehicle Intelligence platforms. It spans the full product lifecycle, and everything it produces has to hold up under external scrutiny. You'll be an early engineer on the team with real latitude over what gets built and how it gets done., * Build agentic security workflows to support threat modeling, cyber risk analysis, threat detection, and investigation capabilities on the platform

 * Build AI risk engines, intelligent intrusion detection engines, security testing engines, and security testing simulation engines which make up the physical AI security platform
 * Architect the agentless integration with web applications, AI agents, and devices under testing like software-defined vehicles and mining trucks
 * Deploy LLM-powered or agentic features to production using structured output, tool use, multi-step workflows, and human-in-the-loop review
 * Own full-stack development end-to-end from database schema design to frontend UI interfaces
 * Model complex, highly relational domains featuring versioned entities, traceability, and long-running asynchronous workflows with durable state.