Hybrid SI Engineer, Physical Systems

Lawrence Livermore National Laboratory; Livermore (CA); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Lawrence Livermore National Laboratory in Livermore, CA invites you to join as an Applied Super Intelligence Engineer, Physical Systems. You will help build software enabling SI agents to interact with real-world equipment through an existing hardware integration stack, focusing on perception workflows and safety.

The role is hybrid with in-person and remote work; candidates must be a U.S. citizen able to obtain a DOE Q clearance.

Qualifications

• Bachelor’s degree in computer science, software engineering, robotics, or a related field, or an equivalent combination of education and related experience.
• Experience developing LLM, multimodal, agent-based, or tool-calling applications.
• Experience designing, implementing, testing, and debugging tool-using SI workflows that connect models to APIs, services, data sources, or operational systems, including JSON Schema or OpenAPI.

Responsibilities

• Implement agent-facing tool definitions and task workflows using documented equipment interfaces and platform services.
• Develop multimodal perception and decision-support workflows from camera, telemetry, and process data.
• Improve prompt logic, tool use, evaluation methods, and workflow reliability for physical-world SI applications.
• Translate real-world tasks into SI-assisted workflows that are usable, testable, and maintainable.
• Collaborate with embedded, platform, and deployment engineers to define safe action boundaries and approval points.
• Evaluate and refine SI workflows through logging, iteration, and disciplined engineering practices.

Skills

Python

Agent-based systems

Tool-using workflows

Logging & debugging

Education

Bachelor’s degree or equivalent in CS/Engineering/Robotics

Tools

JSON Schema

OpenAPI

APIs

Job description

Lawrence Livermore National Laboratory in Livermore, CA invites you to join as an Applied Super Intelligence Engineer, Physical Systems. You will help build software enabling SI agents to interact with real-world equipment through an existing hardware integration stack, focusing on perception workflows and safety.

The role is hybrid with in-person and remote work; candidates must be a U.S. citizen able to obtain a DOE Q clearance.