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Software Development Engineer III, AWS AI/ML Servers
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Platform Center of Excellence Mechanical Engineer
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Sr. Thermal Controls Systems Engineers
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Construction Inspector I or II - Graham Area Office
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Software Engineer II
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The Software Engineer II is a mid-level engineer who works with a team of Software Engineers to design, develop, test, commission, and provide ongoing support of TGW software solutions.
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Sr. Environmental Regulatory Engineer (Air Permitting)
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Sr. Environmental Regulatory Engineer (Air Permitting)
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IT Network Infrastructure Engineer, Launch
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Mobility Engineer
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Specialist, Electrical Engineer (Carlsbad, CA)
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Added 13 mins ago
Applied Super Intelligence Engineer, Physical Systems
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We are seeking an Applied Super Intelligence (SI) Engineer, Physical Systems, to help build software that enables SI agents and multimodal models to interact with real-world equipment…
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LLNL

Applied Super Intelligence Engineer, Physical Systems

Livermore, CA, United States

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Job details

Posting language: English
Posted: Nov 6, 2026

Original job description

Company Description Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.

Job Description

We are seeking an Applied Super Intelligence (SI) Engineer, Physical Systems, to help build software that enables SI agents and multimodal models to interact with real-world equipment through an existing hardware integration stack. You will focus on applied SI and perception workflows that transform operational data and equipment interfaces into safe, usable SI-assisted systems. This position is in the Material Engineering Division (MED) within the Engineering Directorate. This position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home one or more days per week. This position will be filled at either level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level. You will

Implement agent-facing tool definitions and task workflows that use documented equipment interfaces and platform services.
Develop multimodal perception and decision-support workflows using camera, telemetry, and process data.
Improve prompt logic, tool use, evaluation methods, and workflow reliability for physical-world SI applications.
Translate real-world operational tasks into practical SI-assisted workflows that are usable, testable, and maintainable.
Work with embedded, platform, and deployment engineers in a controlled environment to define safe action boundaries, human- or system-mediated approval points, and fallback behaviors using established external safety and security systems.
Evaluate and debug applied SI workflows through comprehensive logging, iterative refinement, and disciplined engineering practices.
Perform other duties as assigned.

Additional job responsibilities, at the SES.2 level

Design and evaluate agent workflows that combine perception, tool use, and equipment actions across multiple system components, input modalities, and operational steps.
Improve reusable evaluation harnesses, guardrails, and failure analysis for SI-assisted workflows, using the results to guide technical decisions.
Coordinate with embedded and SI platform engineers to translate device capabilities, operational requirements, and workflow evaluation results into reusable agent workflows, while providing informal guidance to less-experienced contributors.

Qualifications

Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
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 building applications, prototypes, or internal tools in collaboration with software and systems engineers.
Experience gained through coursework, projects, research, internships, or professional work 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 structured tool or API contracts, such as JSON Schema or OpenAPI, error handling, logging, and evaluation.
Experience working with real-world data from sensors, cameras, devices, or operational systems.
Familiarity with sound software development practices, including version control, automated testing, and collaborative code review.

Additional qualifications at the SES.2 level

Ability to independently develop and evaluate multicomponent agent, multimodal, or tool-calling workflows for operational use.
Ability to scope and debug moderately complex workflow failures involving perception, tool use, system integration, and operational constraints.

Qualifications We Desire

Exposure to robotics workflows, ROS, or ROS 2.
Experience with vision-language models, vision-language-action models, or multimodal perception pipelines.
Familiarity with simulation, digital twins, or hardware-in-the-loop testing.
Familiarity with workflow orchestration, agent tracing or evaluation systems, prompt or configuration versioning, replay-based testing, or event and telemetry systems such as MQTT or NATS.

Pay Range $121,830 - $185,544 Annually

$121,830 - $154,500 Annually for the SES.1 level

$146,340 - $185,544 Annually for the SES.3 level This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. Additional Information

Position Information This is a Career Indefinite position, open to Lab employees and external candidates.

Why Lawrence Livermore National Laboratory?

Included in 2026 Best Places to Work by Glassdoor!
Flexible Benefits Package
401(k)
Relocation Assistance
Education Reimbursement Program
Flexible schedules (*depending on project needs)
Our values - visit https://www.llnl.gov/inclusion/our-values

Security Clearance This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.

Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.

How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.

California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.

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Skills

Manage quantitative data
Workflow
Building systems monitoring technology
Computer science
Robotics
Python
Collaboration
Research
Debugging
Software development
Test automation
ICT system integration
Grading systems

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