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Junior Software Engineer Python

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Junior Software Engineer Python Jobs

Lawrence Livermore National Laboratory

Hybrid

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 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.

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 an opening for a highly qualified and motivated Postdoctoral Researcher to join the National Ignition Facility (NIF) Automated Alignment team. This team develops, sustains, and improves the operational software that automatically aligns NIF laser systems prior to experiments. The role is primarily focused on computer vision and image processing, with software engineering and machine learning serving as important secondary skill sets to improve robustness, performance, and maintainability.You will work closely with multidisciplinary teams of scientists and engineers working on innovative solutions that improve performance, supporting NIF Operations, maintaining and improving legacy capabilities, and analyzing and troubleshooting off-normal conditions in an operational environment. This position is in the Computational Engineering Division (CED), 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, when consistent with team and operational needs.You will<ul><li>Research, design, develop, test, and maintain computer vision and image processing algorithms used for automated alignment of high energy laser systems.</li><li>Develop and sustain production software that supports NIF Operations, including maintaining and improving legacy codebases.</li><li>Analyze and troubleshoot off-normal system behavior, identify root causes, and implement corrective actions in collaboration with domain experts.</li><li>Apply modern machine learning techniques where appropriate to improve robustness of image processing, estimation, or classification workflows.</li><li>Follow production-level software engineering practices, including:<ul><li>participation in technical requirements and design reviews</li><li>code reviews and adherence to coding standards</li><li>configuration management and traceability</li><li>continuous integration, automated testing, and quality practices appropriate for operational software</li></ul></li><li>Collaborate with NIF Alignment and Laser stakeholders to integrate algorithms into operational workflows and validate performance against mission needs.</li><li>Document software, algorithms, testing approaches, and operational procedures to support long-term sustainment and knowledge transfer.</li><li>Pursue research and publication activities that complement operational deliverables and advance computer vision and automation methods.</li><li>Present results at internal reviews, seminars, and scientific meetings, and publish in peer-reviewed venues as appropriate.</li><li>Perform other duties as needed.</li></ul>Qualifications:<ul><li>Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details.</li><li>PhD in computer science, engineering, applied mathematics, physics, or a related field, with emphasis in computer vision, image processing, machine learning, software engineering, or a related area.</li><li>Fundamental knowledge and/or experience in computer vision and image processing, including experience developing algorithms for robust, real-world data.</li><li>Fundamental programming skills, with emphasis on Python and scientific computing workflows (for example, NumPy) or another modern stack. Ability to learn IDL and Matlab as needed and contribute to a gradual migration toward Python based systems.</li><li>Demonstrated ability to develop, deliver, and sustain production-quality software using disciplined engineering practices (for example, version control, code review, testing, and documentation).</li><li>Ability to develop independent research projects as demonstrated through publication of peer-reviewed literature.</li><li>Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.</li></ul>Qualifications We Desire<ul><li>Experience applying modern machine learning methods to improve robustness of computer vision pipelines.</li><li>Experience with software engineering best practices in operational environments (for example, CI systems, automated testing, coding standards, configuration management, structured reviews).</li><li>Experience maintaining and improving legacy codebases and implementing incremental modernization without disrupting operations.</li><li>Familiarity with optical, laser, metrology, alignment, controls, or automation systems.</li><li>Experience debugging complex systems that combine algorithms, software, data, and integration with hardware or operational processes.</li><li>Ability to balance research objectives with operational deliverables and stakeholder needs.</li></ul>Pay Range$122,028 - $143,328 AnnuallyThis 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-HybridPosition InformationThis is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.&#xa0;Additional Information:#LI-Hybrid<div sr-tagline=""></div>Position InformationThis is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.
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 ClearanceNone required.&#xa0;&#xa0;However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process.&#xa0; This process includes completing an online background investigation form and receiving approval of the background check.&#xa0;&#xa0;
National Defense Authorization Act (NDAA)The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. &#xa0;The restrictions of NDAA Section 3112 apply to this position. &#xa0;To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112.
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>.

Computer Vision for High Energy Laser Alignment Systems - Postdoctoral Researcher 

Computer Vision for High Energy Laser Alignment Systems

PhD in computer science, engineering, applied mathematics, physics, or related field; strong computer vision, image processing, and software engineering skills; Python and NumPy experience; ability to develop production-grade software.

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