Applied Super Intelligence Engineer, Physical Systems — Hybrid

LLNL; Livermore (CA); Hybrid; USD 122,000 - 186,000; Full time

Benefits offered by this job

Referral bonus

Job summary

Lawrence Livermore National Laboratory (LLNL) seeks an Applied Super Intelligence Engineer, Physical Systems, to build software enabling SI agents and multimodal models to interact with real-world equipment via an existing hardware integration stack. Focus on applied SI and perception workflows in MED within the Engineering Directorate.

The role offers a hybrid schedule with some days remote and some on site, and requires compliance with DOE Q clearance and U.S. citizenship.

Qualifications

• U.S. citizenship eligibility for DOE Q clearance
• Bachelor’s degree in CS, software engineering, robotics, or related field
• Proficiency in Python or a comparable programming language
• Experience with LLM, multimodal, agent-based, or tool-calling applications
• Experience integrating models with APIs, services, data sources, or operational systems using JSON Schema or OpenAPI
• Experience working with real-world data from sensors, cameras, devices, or operational systems
• Strong software development practices including version control, automated testing, and code review

Responsibilities

• Implement agent-facing tool definitions and task workflows using documented 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 SI applications
• Translate real-world tasks into practical SI-assisted and testable workflows
• Collaborate with embedded, platform, and deployment engineers to define safe action boundaries and fallback behaviors
• Evaluate and debug SI workflows with logging and disciplined engineering practices
• Perform other duties as assigned

Skills

Python

LLM workflows

Multimodal

Tool-calling

Education

Bachelor’s degree in CS/Software Eng/Robotics or related field

Tools

ROS/ROS2

OpenAPI/JSON Schema

Git

Job description

Lawrence Livermore National Laboratory (LLNL) seeks an Applied Super Intelligence Engineer, Physical Systems, to build software enabling SI agents and multimodal models to interact with real-world equipment via an existing hardware integration stack. Focus on applied SI and perception workflows in MED within the Engineering Directorate.

The role offers a hybrid schedule with some days remote and some on site, and requires compliance with DOE Q clearance and U.S. citizenship.