- Robot type
- Autonomous Vehicle · Robot AI and Software
- Location
- SunnyvaleCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Jun 12, 2025
- Salary
- $135,000–$250,000 a year
Software Engineer - Physical AI Security
Job description
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.;
Job responsibilities
- 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.
Job requirements
- 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
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