Jobs in the United States

25+ jobs

Save this search

Added 11 mins ago
Software Engineer, Systems ML
Meta
Helena, MT
…locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for…
Added 11 mins ago
Area Project Controls Lead, Mega Campus
Meta
Helena, MT
…locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for…
Added 11 mins ago
Integrations Program Manager
Meta
Helena, MT
…locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for…
Added 11 mins ago
Product Marketing Manager
Meta
Helena, MT
…locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for…
Added 11 mins ago
Hardware Engineer, PCB Layout
Meta
Helena, MT
…locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for…
Added 11 mins ago
Regulatory Readiness Program Manager
Meta
Helena, MT
…locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for…
Added 11 mins ago
Network Development Manager
Meta
Helena, MT
…locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for…
Added 16 mins ago
Forward Deployment (FD) Agentic Solutions Consultant - Sales
Jobgether
Remote, United States
Added 1 hour ago
Senior/Lead AI Applications Developer- Hybrid.in person interviews
MSys Inc.
Phoenix, AZ
The Applications Developer Senior/Lead is responsible for identifying and implementing Artificial Intelligence (AI) solutions to decrease administrative workload and improve quality. Acting…
Added 1 hour ago
SO
THS Information Technology Instructor (Professional)
State of Connecticut
Milford, CT
- $69,810 to $110,898 USD / year
…institution must be accredited. If the institution of higher learning is located outside of the U.S., you are responsible for providing documentation from a recognized USA accrediting…
Added 1 hour ago
Lead Specialist, AI Scientist
Pearson
Remote, United States
Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field, or equivalent experience
Added 1 hour ago
Lead Specialist, AI Scientist
Pearson
Remote, United States
Design retrieval and context architectures that let AI and machine-learning systems use structured knowledge effectively, including graph, semantic, vector, and hybrid retrieval
Added 1 hour ago
M
Software Engineer- CoreAI
Microsoft
WA · Redmond, WA · Redmond
- $85,400 to $183,700 USD / year
…engineers, applied scientists, and product teams to build AI-powered developer experiences, intelligent applications, and cloud-scale platforms and services that help customers create,…
Added 1 hour ago
M
Research Intern - Speech Processing
Microsoft
WA · Redmond, WA · Redmond
- $6,810 to $14,610 USD / month
Speech and audio Artificial Intelligence (AI) technology is one of the key drivers for advancing natural user interfaces with natural spoken language. The Speech and Audio Group is on a…
Added 1 hour ago
M
Software Engineer 2
Microsoft
WA · CA · NY · Redmond, WA · Mountain View, CA · Redmond · Mountain View · New York
- $102,100 to $219,200 USD / year
Experience with machine learning model development, release, and operations.
Added 2 hours ago
PN
Post Masters Research Associate – Large Language Models
Pacific Northwest National Laboratory
UNAVAILABLE
- $80,500 USD / year
Hands-on experience developing, evaluating, or deploying artificial intelligence and machine learning models, specifically generative AI and large language models (LLMs).
Added 2 hours ago
Data Solution Architect
Conagra Brands
Omaha, NE
Experience preparing governed, reusable data for machine learning, generative artificial intelligence, or other advanced analytics use cases is preferred.
Added 2 hours ago
DISTINGUISHED SCIENTIST/ENGINEER FOR USW THEATER OPERATIONS
Naval Sea Systems Command
Naval Base Newport, RI
Added 2 hours ago
QUALITY INSPECTOR 2 MACHINERY
Huntington Ingalls Industries
Pascagoula, MS
…cyber. HII’s diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and…
Added 2 hours ago
FOREMAN OUTSIDE MACHINISTS 2ND SHIFT
Huntington Ingalls Industries
Pascagoula, MS
…cyber. HII’s diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and…
Added 2 hours ago
CPM SCHEDULER 2
Huntington Ingalls Industries
Pascagoula, MS
…cyber. HII’s diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and…
Added 2 hours ago
PROD PLNG AND SCHEDULER 3
Huntington Ingalls Industries
Pascagoula, MS
…cyber. HII’s diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and…
Added 2 hours ago
PROCUREMENT PLNG CONTROL REP 2
Huntington Ingalls Industries
Pascagoula, MS
…cyber. HII’s diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and…
Added 2 hours ago
HEAVY EQUIPMENT TECH
Huntington Ingalls Industries
Pascagoula, MS
…cyber. HII’s diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and…
Added 2 hours ago
PROCUREMENT ANALYST 4
Huntington Ingalls Industries
Pascagoula, MS
…cyber. HII’s diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and…

LLNL

Resilient Infrastructure Systems Analyst - SI Focus

Livermore, CA, United States

Apply About employer

Applications open in a new tab.

Job details

Pay: Pay Range $146,340 - $222,564 Annually $146,340 - $185,544 Annually for the SES.2 level $175,530 - $222,564 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.
Posting language: English
Posted: Nov 3, 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 have multiple openings for a Resilient Infrastructure Systems Analyst supporting analysis of the resilience of a variety of infrastructure systems to cyber, physical, and supply chain threats. You will apply a combination of technical depth and breadth, critical thinking, modeling and simulation, and analysis to understand complex, multi-domain problem areas, provide decision insight, and communicate options and trade-offs in support of customer missions. You will integrate across research and development teams and work directly with operational organizations. These positions are in the Computational Engineering Division (CED), within the Engineering Directorate. Telework will be authorized at LLNL's discretion, based on policy, security, program, and performance requirements - not guaranteed, and subject to change (including onsite work requirements) at any time. These positions 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. In this role, you will

Conduct foundational and applied research to address consequential challenges at the intersection of super intelligence (SI) and national security. Super intelligence (SI), previously referred to as artificial intelligence (AI).
Evaluate and apply SI/ML (machine learning) methods where they add value to inform models, tools, and frameworks to gain insight into the vulnerability and defense of complex infrastructure systems.
Contribute to the development of well-defined analytical questions and plans to provide decision insights to stakeholders on complex, challenging, and ambiguous infrastructure resilience problems.
Contribute to the development of innovative and creative methods that leverage tools from a breadth of established disciplines such as artificial intelligence and machine learning, decision analysis, risk analysis, applied statistics and optimization, and other related fields.
Contribute to the fulfillment of technical projects and organizational objectives, collaborate with team members to provide input on deliverables, and regularly communicate the status and projected delivery date to ensure quality results are provided in accordance with established deadlines. Routinely interact with technical contacts at sponsor and partner organizations.
Support programmatic deliverables with occasional travel, as necessary.
Perform other duties as assigned.

Additional job responsibilities, at the SES.3 level

Lead technical tasks while balancing priorities of customers and partners to ensure deadlines are met.
Work independently, as well as in conjunction with team members, to operationalize research and development advancements for LLNL national security programs.
Serve as the point of contact for program managers at sponsor and partner organizations.

Qualifications

Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
Master’s degree in engineering (mechanical, electrical, industrial, chemical, civil, or systems), computer sciences (data science, cybersecurity), operations research, or related fields, or the equivalent combination of education and related experience.
Comprehensive knowledge and broad experience assessing risks to and from super intelligence (SI).
Comprehensive knowledge and broad experience in defining research questions and scoping defensible methods and approaches.
Comprehensive knowledge and broad experience with one or more of the following computational disciplines: data analytics, statistical modeling, modeling and simulation, risk analysis, systems analysis, decision analysis, or other related discipline.
Proficient verbal and written communication skills needed to effectively collaborate in a team environment, present and explain technical information, and document work.
Proficient analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems.
Ability to travel off-site for sponsor and customer interaction.

Additional qualifications at the SES.3 level

Advanced knowledge in one or more of the following areas: super intelligence/machine learning, infrastructure systems (e.g., energy, transportation, water systems), cyber security, or other related disciplines.
Advanced knowledge in the application and development of one or more of the following areas: data analytics, statistical modeling, modeling and simulation, risk analysis, systems analysis, decision analysis, or other related discipline.
Advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems.
Advanced experience in leading diverse, technical teams to execute projects.

Qualifications We Desire

PhD in engineering (mechanical, electrical, industrial, chemical, civil, or systems), computer sciences (data science, cybersecurity), operations research, or related fields.
Experience in developing models and/or frameworks to characterize and assess complex infrastructure systems (e.g., electricity grid/energy systems, supply chain and logistics, chemical processing, oil and natural gas, water, transportation, communications networks) and/or threats and risks to these systems.
Broad experience in managing multiple concurrent projects.
Experience building models and running simulations using one or more of the following programming tools: Python, Simulink, R, MATLAB, Java or C++.

Pay Range $146,340 - $222,564 Annually $146,340 - $185,544 Annually for the SES.2 level $175,530 - $222,564 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.

Apply About employer

More about this job

Skills

Supply chain management
Critical thinking
Research
Artificial intelligence
ML
Machine learning
Statistics
Work independently
Cybersecurity
Data analysis
Communication skills
Problem solving
Decision making
Develop models
Logistics
Natural gas
Run simulations
Python
R
The MathWorks MATLAB
Oracle Java
C++

Report this job