Applied Super Intelligence Engineer, Physical Systems
Lawrence Livermore National Laboratory1 day ago
Livermore, CA, USAMid Level
H1B sponsor
Base Salary
$122k - $186k/yr
Responsibilities
- Implement agent-facing tool definitions and task workflows using equipment interfaces and platform services.
- Develop multimodal perception and decision-support workflows using camera, telemetry, process, sensor, and operational data.
- Improve prompt logic, tool use, evaluation methods, guardrails, logging, failure analysis, and workflow reliability.
- Translate operational tasks into safe, testable, maintainable SI-assisted workflows with approval points and fallback behaviors.
- Design and evaluate workflows combining perception, tool use, and equipment actions across multiple components and modalities.
- Collaborate with embedded, SI platform, and deployment engineers and provide informal guidance to less-experienced contributors at the higher level.
Requirements
- Ability to obtain and maintain a U.S. DOE Q-level security clearance; U.S. citizenship is required.
- Bachelor's degree in computer science, software engineering, robotics, or a related field, or an equivalent combination of education and related experience.
- Proficiency in Python or a comparable programming language for applications, prototypes, or internal tools.
- Experience developing LLM, multimodal, agent-based, or tool-calling applications through coursework, projects, research, internships, or professional work.
- Experience designing, implementing, testing, and debugging tool-using workflows with structured tool or API contracts, error handling, logging, and evaluation.
- Experience working with real-world data from sensors, cameras, devices, or operational systems.
- Familiarity with version control, automated testing, and collaborative code review.
- At the higher level, ability to independently develop and evaluate multicomponent workflows and debug moderately complex failures.
- Desired qualifications include exposure to robotics workflows, ROS or ROS 2; vision-language or vision-language-action models; simulation, digital twins, or hardware-in-the-loop testing; and workflow orchestration, tracing, evaluation, configuration versioning, replay testing, MQTT, or NATS.
Benefits
- Hybrid schedule with the flexibility to work from home one or more days per week.
- Flexible benefits package.
- 401(k).
- Relocation assistance.
- Education reimbursement program.
- Flexible schedules depending on project needs.
- Career Indefinite position open to LLNL employees and external candidates.
- Selected external applicants must pass a post-offer, pre-employment drug test; certain duties may involve Limited Area wireless-device restrictions.
Tech Stack
Categories
About Lawrence Livermore National Laboratory
Lawrence Livermore National Laboratory (LLNL) is a U.S. Department of Energy/National Nuclear Security Administration laboratory in Livermore, California, conducting research for national security, energy, and fundamental science. Founded in 1952 and operated by Lawrence Livermore National Security, LLC, LLNL’s portfolio spans stockpile stewardship, high-performance computing, and the National Ignition Facility laser program, with work funded primarily through federal contracts and appropriations for defense, intelligence, and civilian agencies.