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Junior Python Developer Jobs

Lawrence Livermore National Laboratory

FormFactor

Hybrid

Onsite

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.&#xa0;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&#xa0;have multiple openings for a Guidance, Navigation, &amp; Control (GNC)/Flight Dynamics Software Developer in support of the Flight Performance Integration (FPI) program. FPI supports LLNL weapon system design and assessments with modeling and simulation utilizing custom in-house computational codes. You will perform code development work focused on a Python modeling environment (library) to generate an integrated tool to interface with multiple engineering solvers and post-processing applications. This will involve developing methods and tools to streamline the engineering workflow, facilitate automation, and provide drop-in automated data extraction. This work prepares for a planned AI driven virtual design assistant. These positions are in the Computational Engineering Division (CED), within the Engineering Directorate.Depending on your assignment, these positions may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.&#xa0;These positions will be filled at either&#xa0;level based on knowledge and related experience as assessed by the responsibilities (outlined below) will be assigned if hired at the higher level.You will<ul><li>Contribute to the development of new aerospace engineering analysis capabilities, such as optimal control, advanced 3DoF trajectory optimization, 6DoF trajectory optimization, and autopilot design software.</li><li>Support concept trade studies and derive GN&amp;C requirements for future systems utilizing in-house flight simulation tools and engagement modeling codes such as AFSIM.</li><li>Contribute to the development of tools for managing CFD, Trajectory, Finite Element Analysis (FEA) and other numerical modeling workflows including preprocessing, post-processing, and data management. Perform analysis of with a variety of flight modeling related tools with an emphasis on assembling them to enable novel analysis at scale utilizing high-performance computing (HPC) resources.</li><li>Support engineering and flight modeling analysts including debugging problems, providing alternative solutions, and quick feature implementation.</li><li>Document methods and implementation in both informal and formal reports and presentations. Share relevant knowledge, analysis, and recommendations in collaboration with internal and external scientists, engineers, mathematicians, and computer scientists through reviews and working groups. Collaborate with other development teams working on tools that support analysis workflows.</li><li>Perform other duties as assigned.</li></ul>Additional job responsibilities at the SES.3 level&#xa0;<ul><li>Independently determine technical objectives and criteria to satisfy project deliverables and execute the appropriate technical approaches.</li><li>Apply advanced technical knowledge and best practices to guide successful completion of project and organizational goals.</li><li>Lead and mentor junior staff, student fellows, and summer student researchers.</li></ul>Qualifications:<ul><li>Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. Citizenship.</li><li>Master’s degree in engineering, computational science, applied math, physics, or related field, or the equivalent combination of education and related experience.</li><li>Demonstrated programming ability in Python, C, C++, FORTRAN, or similar languages.</li><li>Proficient understanding of computational vehicle dynamics via 3-DoF and/or 6-DoF flight/reentry modeling including familiarity with aerodynamic performance coefficients.</li><li>Proficiency in vector calculus, linear algebra, and numerical methods for solving differential equations (ODEs/DAEs).</li><li>Knowledge of trajectory optimization tools and methods such as GPOPS-II, Dymos, OTIS, TAOS, STK, or similar. Knowledge of dynamic optimization methods such as direct collocation, shooting methods, nonlinear programming, sequential quadratic programming, algorithmic differentiation, and related tools such as CasADI, Pyomo, IPOPT, &amp; SNOPT.</li><li>Proficient interpersonal, written, and verbal communication skills necessary to effectively present and explain technical information.</li><li>Ability to work in a multidisciplinary team environment, as well as independently.</li><li>Ability to travel.</li></ul>Additional qualifications at the SES.3 level&#xa0;<ul><li>Advanced knowledge and significant experience in computational modeling &amp; Multi-disciplinary Design and Analysis Optimization (MDAO), including significant experience in developing modeling &amp; simulation tools for aerospace applications.</li><li>Significant experience with one or more programming languages such as Python, C/C++, FORTRAN, or other object oriented programming (OOP) languages.</li><li>Advanced verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management.</li></ul>Qualifications We Desire<ul><li>PhD in engineering, computational science, applied math, physics, or related field.</li><li>Experience conducting computational analysis in a multi-physics context and with software on massively parallel systems, particularly in the areas of heat transfer, fluid dynamics, and/or structural mechanics.</li><li>Experience in development of software in a version-controlled environment (e.g. git), including testing, documentation, and software user support.</li><li>Experience with machine learning frameworks (e.g. torch/pytorch, tensorflow, jax) and models, as well as training and fine-tuning models and one or more of the following: non-linear programming and optimization, uncertainty quantification, Bayesian learning, UI/UX design.</li></ul>Pay Range$146,340 - $222,564$146,340 - $185,544 Annually for the SES.2 level$175,530 - $222,564 Annually for the SES.3 levelThis 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:#LI-Hybrid<div sr-tagline=""></div>Position InformationThis is a Career Indefinite position, open to Lab employees and external candidates.
Why Lawrence Livermore National Laboratory?<ul><li>Included in 2026&#xa0;Best Places to Work by Glassdoor!</li><li>Flexible&#xa0;<a href="https://www.llnl.gov/join-our-team/culture/benefits" rel="noopener noreferrer">Benefits Package</a></li><li>401(k)</li><li>Relocation Assistance</li><li>Education Reimbursement Program</li><li>Flexible schedules (*depending on project needs)</li><li>Our values - visit&#xa0;<a href="https://www.llnl.gov/diversity/our-values" rel="noopener noreferrer">https://www.llnl.gov/inclusion/our-values</a></li></ul>
Security ClearanceThis position requires a Department of Energy (DOE) Q-level clearance.&#xa0;&#xa0;If you are selected, we&#xa0;will initiate a Federal background investigation to determine if you&#xa0;meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing.&#xa0; Q-level clearance requires U.S. citizenship.&#xa0;
Pre-Employment Drug TestExternal 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 DevicesPer the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use&#xa0;and/or possession of&#xa0;mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where&#xa0;you are not permitted to have a personal and/or laboratory mobile device&#xa0;in your possession.&#xa0; This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.&#xa0;&#xa0;If&#xa0;you use&#xa0;a&#xa0;medical device, which&#xa0;pairs with a mobile device,&#xa0;you must still follow the rules concerning&#xa0;the mobile device in individual sections within Limited Areas.&#xa0; Sensitive Compartmented Information Facilities require&#xa0;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 advertisementsPlease 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:&#xa0;<a href="https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf" rel="noopener noreferrer">https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf</a>
Equal Employment OpportunityWe 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 AccommodationOur goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.&#xa0; If you need a reasonable accommodation during the application or the recruiting process, please use our <a href="https://www.llnl.gov/join-our-team/careers/accessibility" rel="noopener noreferrer">online form</a> to submit a request.&#xa0;
California&#xa0;Privacy NoticeThe California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles&#xa0;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 <a href="https://www.llnl.gov/join-our-team/careers/privacy-statement" rel="noopener noreferrer">here</a>.

Guidance, Navigation & Control (GNC)/Flight Dynamics Software Developer

Guidance, Navigation & Control (GNC) / Flight Dynamics Software Developer

Develop Python-based tools for GNC/flight dynamics, solve numerical modeling problems, collaborate across teams; security clearance is required.

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.&#xa0;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&#xa0;have multiple openings for a Power Grid Engineer to conduct research in the topics of power system modeling and simulation, analysis, planning, operation, resilience, lab testing of devices and integrated systems, and field pilots. You will support LLNL’s Cyber and Infrastructure Resilience (CIR) program’s growing research portfolio in electric grid infrastructure. You will participate in collaborative research projects funded by the Department of Energy and similar, the State of California, and private sectors. These positions are in the Computational Engineering Division (CED),&#xa0;within the Engineering Directorate.These positions will be filled at either&#xa0;level based on knowledge and related experience as assessed by the responsibilities (outlined below) will be assigned if hired at the higher level.You will<ul><li>Conduct research in the topics of power grid modeling and simulation, analysis, planning, operation, monitoring and control, data analytics, power quality, signal processing, resilience, microgrids, HIL lab testing, and field pilots.</li><li>Present formal and informal overviews of research progress at group meetings.</li><li>Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internal and external to the Laboratory.</li><li>Contribute to grant proposals and collaborate with others in a multidisciplinary team environment to accomplish research goals.</li><li>Perform other duties as assigned.</li></ul>Additional job responsibilities, at the SES.2 level<ul><li>Support complex research projects with competing priorities and implement advanced research concepts in a multidisciplinary team environment where dedication and deadlines are important to project success.</li><li>Publish research results in external peer-reviewed scientific journals and participate in conferences and workshops.</li><li>Engage directly with sponsors and partners and participate in development of new program business.</li></ul>Qualifications:<ul><li>Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.</li><li>Bachelor's&#xa0;degree in Engineering or Computer Science, or equivalent combination of education and related experience.</li><li>Experience with at least one power grid simulation software, such as GridLab-D, CYMDIST, OpenDSS, PowerWorld, PSLFor PSS/E.</li><li>Experience developing software in languages such as Python, C++, Matlab/Simulink for prototyping power grid algorithms and visualization.</li><li>Analytical and problem-solving skills necessary to craft creative solutions to independently solve complex problems.</li><li>Sufficient verbal and written communication skills needed to effectively collaborate in a team environment, present and explain technical information, and document work.</li><li>Ability to travel off-site for conference presentations, and sponsor and customer interaction.</li></ul>Additional qualifications at the SES.2 level&#xa0;<ul><li>Comprehensive knowledge and broad experience in the application and development in in the topics of power grid modeling and simulation, analysis, planning, operation, monitoring and control, data analytics, power quality, signal processing, resilience, microgrids, HIL lab testing, and field pilots.</li><li>Power grid industry experience in practical power grid infrastructure resilience applications.</li><li>Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information.</li></ul>Qualifications We Desire<ul><li>Master’s degree or PhD in Electrical Engineering or Computer Science, or related field.</li><li>Power grid industry experience in practical power grid infrastructure resilience applications, with Department of Energy (DOE), and other relevant federal and state government agencies.</li></ul>&#xa0;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.2 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.&#xa0;Additional Information:#LI-Hybrid<div sr-tagline=""></div>Position InformationThis is a Career Indefinite position, open to Lab employees and external candidates.
Why Lawrence Livermore National Laboratory?<ul><li>Included in 2026&#xa0;Best Places to Work by Glassdoor!</li><li>Flexible&#xa0;<a href="https://www.llnl.gov/join-our-team/culture/benefits">Benefits Package</a></li><li>401(k)</li><li>Relocation Assistance</li><li>Education Reimbursement Program</li><li>Flexible schedules (*depending on project needs)</li><li>Our values - visit&#xa0;<a href="https://www.llnl.gov/diversity/our-values">https://www.llnl.gov/inclusion/our-values</a></li></ul>
Security ClearanceThis position requires a Department of Energy (DOE) Q-level clearance.&#xa0;&#xa0;If you are selected, we&#xa0;will initiate a Federal background investigation to determine if you&#xa0;meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing.&#xa0; Q-level clearance requires U.S. citizenship.&#xa0;
Pre-Employment Drug TestExternal 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 DevicesPer the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use&#xa0;and/or possession of&#xa0;mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where&#xa0;you are not permitted to have a personal and/or laboratory mobile device&#xa0;in your possession.&#xa0; This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.&#xa0;&#xa0;If&#xa0;you use&#xa0;a&#xa0;medical device, which&#xa0;pairs with a mobile device,&#xa0;you must still follow the rules concerning&#xa0;the mobile device in individual sections within Limited Areas.&#xa0; Sensitive Compartmented Information Facilities require&#xa0;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 advertisementsPlease 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:&#xa0;<a href="https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf">https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf</a>
Equal Employment OpportunityWe 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 AccommodationOur goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.&#xa0; If you need a reasonable accommodation during the application or the recruiting process, please use our <a href="https://www.llnl.gov/join-our-team/careers/accessibility">online form</a> to submit a request.&#xa0;
California&#xa0;Privacy NoticeThe California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles&#xa0;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 <a href="https://www.llnl.gov/join-our-team/careers/privacy-statement">here</a>.

Power Grid Engineer

Bachelor's in Engineering or Computer Science; DOE Q clearance eligibility; power grid modeling/simulation experience; programming in Python/C++/Matlab; strong communication and travel ability.

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.&#xa0;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&#xa0;have multiple openings for a&#xa0;Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and deploy novel data science capabilities to enhance the reliability and adversarial resilience of critical infrastructure. You will write code, create analytical tools and visualizations, diagnose complex systems, and discover innovative approaches to challenging problems. These positions are in the Computational Engineering Division (CED), within the Engineering Directorate, in support of Global Security’s Energy and Homeland Security (E) program.Depending on your assignment, these positions may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.These positions will be filled at either&#xa0;level based on knowledge and related experience as assessed by the responsibilities (outlined below) will be assigned if hired at the higher level.You will<ul><li>Design, develop, and apply machine learning and data science algorithms, including deep learning and modern AI techniques such as neural networks, transformers, and generative models, to analyze cybersecurity and power systems data.</li><li>Analyze data and build analytical capabilities to improve the reliability and adversarial resilience of critical infrastructure.</li><li>Write code to implement and deploy data science solutions and analytical tools, create visualizations, and follow software engineering best practices for code quality, testing, and documentation.</li><li>Collaborate with multidisciplinary teams including cybersecurity experts, power systems engineers, and computer scientists.</li><li>Support building research prototypes and capabilities for critical infrastructure protection, contributing to the development of new methodologies and tools.</li><li>Provide solutions to moderately complex to complex data analytics challenges in the cybersecurity and power systems domains, using established and innovative methods.</li><li>Perform other duties as assigned.</li></ul>Additional job responsibilities, at the SES.3 level<ul><li>Lead highly complex projects with technical and analytic challenges, developing innovative solutions and building advanced capabilities.</li><li>Discover and pioneer new approaches to data science problems, pushing the boundaries of current methodologies, and transforming ideas from concepts to operational solutions.</li><li>Present technical work and results to sponsors and technical audiences on a regular basis, demonstrating capabilities through hands-on demonstrations and deep technical discussions.</li><li>Contribute to technical direction and strategy for data science capabilities in critical infrastructure protection by building proof-of-concept systems, demonstrating new approaches, and contributing ideas to research proposals.</li></ul>Qualifications:<ul><li>Ability to secure&#xa0;and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.</li><li>Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical field, or the equivalent combination of education and related experience.</li><li>Broad experience with Python programming and software development.</li><li>Comprehensive experience applying machine learning, deep learning, or data science methods to real-world problems.</li><li>Intermediate&#xa0;knowledge of software engineering best practices including version control, unit testing, and documentation.</li><li>Proficient verbal and written communication skills necessary to collaborate within a team environment and present technical information to varied audiences.</li><li>Effective interpersonal skills and initiative necessary to interact with all levels of personnel and work independently in a collaborative, multidisciplinary team environment.</li><li>Demonstrated ability to balance multiple projects and prioritize competing demands while maintaining high-quality standards for deliverables.</li></ul>Additional qualifications at the SES.3 level&#xa0;<ul><li>Advanced experience in applied machine learning and data science with demonstrated ability to deliver complex technical solutions independently.</li><li>Advanced experience building innovative data science systems and discovering novel approaches to complex problems.</li><li>Experience presenting technical work and demonstrations to both technical and non-technical audiences, including sponsors and stakeholders.</li></ul>Qualifications We Desire<ul><li>Master’s degree or PhD&#xa0;in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical field.</li><li>Experience with modern machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, Keras, and/or similar tools.</li><li>Experience with deep learning techniques, transformer models, retrieval-augmented generation (RAG), fine-tuning pre-trained models, or adapting foundation models for specific application domains.</li><li>Knowledge of cybersecurity principles and practices, including threat detection, anomaly detection, or security analytics.</li><li>Experience with power systems, SCADA systems, industrial control systems, or operational technology environments.</li><li>Experience with data visualization and effectively communicating analytical results to diverse audiences.</li></ul>&#xa0;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 levelThis 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.&#xa0;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:#LI-Hybrid<div sr-tagline=""></div>Position InformationThis is a Career Indefinite position, open to Lab employees and external candidates.
Why Lawrence Livermore National Laboratory?<ul><li>Included in 2026&#xa0;Best Places to Work by Glassdoor!</li><li>Flexible&#xa0;<a href="https://www.llnl.gov/join-our-team/culture/benefits" rel="noopener noreferrer">Benefits Package</a></li><li>401(k)</li><li>Relocation Assistance</li><li>Education Reimbursement Program</li><li>Flexible schedules (*depending on project needs)</li><li>Our values - visit&#xa0;<a href="https://www.llnl.gov/diversity/our-values" rel="noopener noreferrer">https://www.llnl.gov/inclusion/our-values</a></li></ul>
Security ClearanceThis position requires a Department of Energy (DOE) Q-level clearance.&#xa0;&#xa0;If you are selected, we&#xa0;will initiate a Federal background investigation to determine if you&#xa0;meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing.&#xa0; Q-level clearance requires U.S. citizenship.&#xa0;
Pre-Employment Drug TestExternal 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 DevicesPer the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use&#xa0;and/or possession of&#xa0;mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where&#xa0;you are not permitted to have a personal and/or laboratory mobile device&#xa0;in your possession.&#xa0; This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.&#xa0;&#xa0;If&#xa0;you use&#xa0;a&#xa0;medical device, which&#xa0;pairs with a mobile device,&#xa0;you must still follow the rules concerning&#xa0;the mobile device in individual sections within Limited Areas.&#xa0; Sensitive Compartmented Information Facilities require&#xa0;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 advertisementsPlease 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:&#xa0;<a href="https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf" rel="noopener noreferrer">https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf</a>
Equal Employment OpportunityWe 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 AccommodationOur goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.&#xa0; If you need a reasonable accommodation during the application or the recruiting process, please use our <a href="https://www.llnl.gov/join-our-team/careers/accessibility" rel="noopener noreferrer">online form</a> to submit a request.&#xa0;
California&#xa0;Privacy NoticeThe California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles&#xa0;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 <a href="https://www.llnl.gov/join-our-team/careers/privacy-statement" rel="noopener noreferrer">here</a>.

Data Science Engineer

Bachelor’s degree in CS/Data Science/Engineering/Math/Statistics or related field; strong Python; ML experience; software engineering basics; ability to obtain DOE Q clearance; good communication.

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.&#xa0;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&#xa0;have multiple openings for a Power Grid Dynamics Engineer to conduct research in the topics of power system modeling and simulation, analysis, planning, operation, resilience, lab testing of devices and integrated systems, and field pilots. You will support LLNL’s Cyber and Infrastructure Resilience (CIR) program’s growing research portfolio in electric grid infrastructure. You will participate in collaborative research projects funded by the Department of Energy and similar, the State of California, and private sectors. These positions are in the Computational Engineering Division (CED), within the Engineering Directorate.Depending on your assignment, these positions may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.These positions will be filled at either level based on knowledge and related experience as assessed by the responsibilities (outlined below) will be assigned if hired at the higher level.You will<ul><li>Conduct research in the topics of power grid dynamics modeling, transient stability, electromagnetic transient (EMT) simulation.</li><li>Present formal and informal overviews of research progress at group meetings.</li><li>Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internal and external to the Laboratory.</li><li>Contribute to grant proposals and collaborate with others in a multidisciplinary team environment to accomplish research goals.</li><li>Perform other duties as assigned.</li></ul>Additional job responsibilities, at the SES.2 level&#xa0;<ul><li>Support complex research projects with competing priorities and implement advanced research concepts in a multidisciplinary team environment where dedication and deadlines are important to project success.</li><li>Publish research results in external peer-reviewed scientific journals and participate in conferences and workshops.</li><li>Engage directly with sponsors and partners and participate in development of new program business.</li></ul>Qualifications:<ul><li>Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.</li><li>Bachelor's&#xa0;degree in Engineering or Computer Science, or equivalent combination of education and related experience.</li><li>Experience with at least one power grid dynamics simulation software, such as PowerWorld, PSS/E, PSCAD, PowerFactory, GridDyn.</li><li>Experience developing software in languages such as Python, C++, Matlab/Simulink for prototyping power grid algorithms and visualization.</li><li>Analytical and problem-solving skills necessary to craft creative solutions to independently solve complex problems.</li><li>Sufficient verbal and written communication skills needed to effectively collaborate in a team environment, present and explain technical information, and document work.</li><li>Ability to travel off-site for conference presentations, and sponsor and customer interaction.</li></ul>Additional qualifications at the SES.2 level&#xa0;<ul><li>Comprehensive knowledge and broad experience in the application and development in the topics of power grid dynamics modeling and simulation.</li><li>Power grid industry experience in practical power grid infrastructure resilience applications.</li><li>Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information.</li></ul>Qualifications We Desire<ul><li>Master’s degree or PhD in Electrical Engineering or Computer Science, or related field.</li><li>Power grid industry experience in practical power grid infrastructure resilience applications, with Department of Energy (DOE), and other relevant federal and state government agencies.</li></ul>&#xa0;Pay Range$121,830 -&#xa0;$185,544 Annually$121,830 - $154,500 Annually for the SES.1 level$146,340 - $185,544 Annually for the SES.2 levelThis is the lowest to highest salary in good faith 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:#LI-Hybrid<div sr-tagline=""></div>Position InformationThis is a Career Indefinite position, open to Lab employees and external candidates.
Why Lawrence Livermore National Laboratory?<ul><li>Included in 2026&#xa0;Best Places to Work by Glassdoor!</li><li>Flexible&#xa0;<a href="https://www.llnl.gov/join-our-team/culture/benefits" rel="noopener noreferrer">Benefits Package</a></li><li>401(k)</li><li>Relocation Assistance</li><li>Education Reimbursement Program</li><li>Flexible schedules (*depending on project needs)</li><li>Our values - visit&#xa0;<a href="https://www.llnl.gov/diversity/our-values" rel="noopener noreferrer">https://www.llnl.gov/inclusion/our-values</a></li></ul>
Security ClearanceThis position requires a Department of Energy (DOE) Q-level clearance.&#xa0; Also, you must have the ability to obtain and maintain Sensitive Compartmented Information (SCI) access.&#xa0;&#xa0;If you are selected, we will&#xa0;initiate a Federal background investigation to determine if you&#xa0;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.&#xa0;
Pre-Employment Drug TestExternal 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 DevicesPer the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use&#xa0;and/or possession of&#xa0;mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where&#xa0;you are not permitted to have a personal and/or laboratory mobile device&#xa0;in your possession.&#xa0; This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.&#xa0;&#xa0;If&#xa0;you use&#xa0;a&#xa0;medical device, which&#xa0;pairs with a mobile device,&#xa0;you must still follow the rules concerning&#xa0;the mobile device in individual sections within Limited Areas.&#xa0; Sensitive Compartmented Information Facilities require&#xa0;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 advertisementsPlease 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:&#xa0;<a href="https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf" rel="noopener noreferrer">https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf</a>
Equal Employment OpportunityWe 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 AccommodationOur goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.&#xa0; If you need a reasonable accommodation during the application or the recruiting process, please use our <a href="https://www.llnl.gov/join-our-team/careers/accessibility" rel="noopener noreferrer">online form</a> to submit a request.&#xa0;
California&#xa0;Privacy NoticeThe California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles&#xa0;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 <a href="https://www.llnl.gov/join-our-team/careers/privacy-statement" rel="noopener noreferrer">here</a>.

Power Grid Dynamics Engineer

Bachelor's degree in Engineering or Computer Science; U.S. citizenship and ability to obtain DOE Q clearance; experience with power grid dynamics software and programming (Python/C++/MATLAB/Simulink); strong analytical, communication, and teamwork skills; willing to travel.

Forming Our Future togetherFormFactor, Inc. (NASDAQ: FORM), is a leading provider of essential test and measurement technologies along the full semiconductor product life cycle — from characterization, modeling, reliability, and design de-bug, to qualification and production test. Semiconductor companies rely upon FormFactor’s products and services to accelerate profitability by optimizing device performance and advancing yield knowledge. The company serves customers through its network of facilities in Asia, Europe, and North America. Rooted in our core values — Focus on the Customer, Ownership &amp; Accountability, Respectfully &amp; Effectively Communicate, and Motivate &amp; Develop People — we foster an environment where diverse perspectives are not only welcomed but celebrated. Everyone can make an impact here. Whether it&#39;s improving products, supporting customers, or positively influencing peers and the community, the contributions of our people matter.Shift:The regular hours for this position are day shift.Job Description:FormFactor is looking for a curious and motivated Research &amp; Development Intern to join our R&amp;D team. This role is a great opportunity for someone who enjoys hands-on work, learning through experimentation, and solving real engineering problems. You’ll gain practical experience working with advanced tools and processes while contributing to meaningful technology development.What You’ll Do<ul><li>Support hands-on experimentation in a development environment.</li><li>Assist with laser micro‑machining experiments and process optimization.</li><li>Collect, analyze, and interpret experimental data.</li><li>Perform complex, automated, metrology and analyze results.</li><li>Contribute to early‑stage process development and improvement efforts.</li><li>Collaborate with other engineers to solve technical challenges.</li></ul>What We’re Looking For<ul><li>Proficiency with Python for data analysis &amp; automation.</li><li>Strong problem‑solving skills and attention to detail.</li><li>Hands‑on experimental experience (academic labs, coursework, or projects are welcome).</li><li>Ability to work carefully with physical hardware and experimental setups.</li><li>Good communication skills and a strong desire to learn new skills and tackle new challenges.</li></ul>Nice to Have (Not Required)<ul><li>Experience with laser machining.</li><li>Familiarity with G‑Code, CNC machines, or motion control systems.</li><li>Exposure to manufacturing, process engineering, or hardware development.</li></ul>Who Should Apply<ul><li>Current students, recent graduates, or early‑career engineers.</li><li>Candidates pursuing a bachelor’s degree or master&#39;s degree in engineering, physics, materials science, or related fields.</li><li>Individuals excited to gain real‑world R&amp;D experience in a collaborative environment.</li></ul>What You’ll Gain<ul><li>Hands‑on experience with advanced R&amp;D tools and techniques.</li><li>Exposure to laser micro‑machining, metrology, and process development.</li><li>Practical experience applying data analysis to experimental results.</li><li>Mentorship from experienced engineers and researchers.</li></ul>If you enjoy learning by doing and want to grow your skills in a hands‑on R&amp;D environment, we encourage you to apply.Skills: Design of Experiments (DOE), Experimental Data, Laser Processing, Python (Programming Language)Education &amp; Experience: Minimum of 6+ years of related experience | RequiredPay Range:$37.15 - $48.77Pay Range Explained:This role in Livermore, California pays between $37.15 and $48.77 per hour, depending on your experience, skills, and background. Pay may vary in other locations. We offer a full benefits package, including medical, dental, vision, life insurance, disability coverage, a 401(k) with company match, employee stock purchase plan (ESPP), and paid time off. You’ll also be eligible for quarterly profit-sharing bonuses and flexible spending or savings accounts.Equal Employment Opportunity StatementFormFactor is an equal opportunity employer. FormFactor complies with all national, state, and local laws that seek to promote equal opportunities for any applicant or employee without regard to age, race, color, gender, gender identity/expression, national origin, sexual orientation, religion, disability, marital status, pregnancy or related condition, military service, or any other legally protected characteristics. These protections apply to all aspects of employment, including but not limited to, recruitment, hiring, training, promotions, and compensation.For roles that are designated as remote-eligible, employees cannot be located in: AL, AK, AR, DE, GA, HI, IL, IA, KY, LA, ME, MD, MS, MO, NE, NV, NJ, NM, ND, OK, PA, RI, SC, SD, TN, WV, WI, WY. This list is continuously evolving and being updated, please check back with us if the state you live in is on the exclusion list. A role is remote-eligible only when it is listed as &#34;Remote&#34; in the job location.

Research & Development Intern

Pursuing bachelor’s or master’s in engineering/physics/materials; Python; hands-on lab experience; able to work with hardware; good communication.

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