{"schemaVersion":"jobsearcher.job.v1","id":"9d7bfbf3ce831752e3ada45e","url":"https://jobsearcher.com/jobs/9d7bfbf3ce831752e3ada45e","canonicalUrl":"https://jobsearcher.com/jobs/9d7bfbf3ce831752e3ada45e","title":"Python Software Developer","description":"Company Description\n\nJoin us and make YOUR mark on the World!\n\nLawrence 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.\n\nOur 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.\n\nJob Description\n\nAre you energized by the challenge of building robust data management systems that become the backbone of critical scientific work? Do you light up at the intersection of solid software engineering and cutting-edge AI capabilities? We're seeking a software engineer who shares our excitement for creating elegant, scalable data solutions while pushing the boundaries of what's possible with artificial intelligence. This is your opportunity to work on systems where traditional engineering excellence meets the transformative potential of AI.\n\nWe are seeking a Python Software Engineer to design and develop discrete and continuous scientific simulation software supporting complex industrial and physics-based modeling efforts. This role sits at the intersection of software engineering and scientific computing, working across projects at varying stages of maturity — from early prototypes to production-grade tools. You'll work closely with scientists, engineers, and domain experts to translate evolving scientific requirements into robust, well-architected, and maintainable software.\n\nThis position is within the Global Security Computing Applications Division (GS-CAD) of the Computing Directorate, matrixed to the Global Security Directorate.\n\nThis position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home up to 2, and at times 3, days per week.\n\nYou will\n\nGuide the completion of projects and contribute to the design, development, test, maintenance, and deployment of scientific computation and simulation libraries and tools.\nSupport multiple deployment pathways, including desktop, containerized, and HPC/cluster environments.\nContribute to the design and build data visualization and analysis tools to assist scientists interpret simulation results.\nIntegrate simulation and computation libraries with other platforms, applications, and data pipelines.\nTroubleshoot issues that span software, computational methods, and scientific/engineering domains.\nCollaborate with multidisciplinary teams including scientists, engineers, and other developers to gather requirements, participate in design reviews, and deliver high-quality solutions to complex problems.\nContribute to software quality assurance, including defining test strategies, reviewing test coverage, and ensuring compliance with project and organizational software standards.\nSupport the transformation of conceptual and physics-based models into well-structured, extensible software as scientific understanding matures.\nPerform other duties as assigned.\nQualifications\nAbility to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. citizenship.\nBachelor’s degree in computer science, software engineering, or a related technical discipline, or an equivalent combination of education and relevant experience.\nAdvanced knowledge of and hands-on experience with Python, including scientific computing libraries (e.g., NumPy, SciPy, pandas).\nAdvanced object-oriented design and implementation skills, with experience architecting maintainable, extensible codebases.\nDemonstrated experience applying solid software engineering practices, such as, clean code, testing discipline, documentation, and code review, to build scalable and secure software.\nAdvanced experience with Git or an equivalent modern version control system.\nAbility to work independently on ambiguous or complex problems, exercising sound technical judgment, taking initiative to develop effective solutions, and documenting designs.\nAdvanced written and verbal communication skills, necessary to effectively collaborate in a team environment and present and explain complex technical information and provide advice to management.\n\nQualifications We Desire\n\nMaster’s degree in computer science, computer engineering, or a related technical field.\nExperience with C/C++, particularly for performance-critical or legacy scientific code integration.\nFamiliarity with scientific/numerical modeling concepts (e.g., differential equations, discrete-event simulation, or physics-based simulation).\nExperience with HPC job schedulers (e.g., Slurm) or parallel/distributed computing.\nExperience with data visualization frameworks (e.g., Matplotlib, Plotly, VTK, ParaView).\nExperience with CI/CD pipelines and containerized deployment (Jenkins, Docker, Kubernetes).\nExperience working in a national lab, DOE, or other regulated/classified research environment.\n\nPay Range\n\n$175,530 - $222,564 Annually\n\nThis 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.\n\nAdditional Information\n\n#LI-Hybrid\n\nPosition Information\n\nThis is a Career Indefinite or At Will appointment. Lab employees and external candidates may be considered for this position.\n\nWhy Lawrence Livermore National Laboratory?\n\nIncluded in 2026 Best Places to Work by Glassdoor!\nFlexible Benefits Package\n401(k)\nRelocation Assistance\nEducation Reimbursement Program\nFlexible schedules (*depending on project needs)\nOur values - visit https://www.llnl.gov/inclusion/our-values\n\nSecurity Clearance\n\nThis position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.\n\nPre-Employment Drug Test\n\nExternal 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.\n\nWireless and Medical Devices\n\nPer the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.\n\nIf you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.\n\nHow to identify fake job advertisements\n\nPlease 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.\n\nTo learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf\n\nEqual Employment Opportunity\n\nWe 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.\n\nReasonable Accommodation\n\nOur goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.\n\nCalifornia Privacy Notice\n\nThe California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.","company":"Lawrence Livermore National Laboratory","rawCompany":"lawrence livermore national laboratory","city":"Livermore","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-22T10:55:36.983Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python Software Developer","description":"Company Description\n\nJoin us and make YOUR mark on the World!\n\nLawrence 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.\n\nOur 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.\n\nJob Description\n\nAre you energized by the challenge of building robust data management systems that become the backbone of critical scientific work? Do you light up at the intersection of solid software engineering and cutting-edge AI capabilities? We're seeking a software engineer who shares our excitement for creating elegant, scalable data solutions while pushing the boundaries of what's possible with artificial intelligence. This is your opportunity to work on systems where traditional engineering excellence meets the transformative potential of AI.\n\nWe are seeking a Python Software Engineer to design and develop discrete and continuous scientific simulation software supporting complex industrial and physics-based modeling efforts. This role sits at the intersection of software engineering and scientific computing, working across projects at varying stages of maturity — from early prototypes to production-grade tools. You'll work closely with scientists, engineers, and domain experts to translate evolving scientific requirements into robust, well-architected, and maintainable software.\n\nThis position is within the Global Security Computing Applications Division (GS-CAD) of the Computing Directorate, matrixed to the Global Security Directorate.\n\nThis position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home up to 2, and at times 3, days per week.\n\nYou will\n\nGuide the completion of projects and contribute to the design, development, test, maintenance, and deployment of scientific computation and simulation libraries and tools.\nSupport multiple deployment pathways, including desktop, containerized, and HPC/cluster environments.\nContribute to the design and build data visualization and analysis tools to assist scientists interpret simulation results.\nIntegrate simulation and computation libraries with other platforms, applications, and data pipelines.\nTroubleshoot issues that span software, computational methods, and scientific/engineering domains.\nCollaborate with multidisciplinary teams including scientists, engineers, and other developers to gather requirements, participate in design reviews, and deliver high-quality solutions to complex problems.\nContribute to software quality assurance, including defining test strategies, reviewing test coverage, and ensuring compliance with project and organizational software standards.\nSupport the transformation of conceptual and physics-based models into well-structured, extensible software as scientific understanding matures.\nPerform other duties as assigned.\nQualifications\nAbility to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. citizenship.\nBachelor’s degree in computer science, software engineering, or a related technical discipline, or an equivalent combination of education and relevant experience.\nAdvanced knowledge of and hands-on experience with Python, including scientific computing libraries (e.g., NumPy, SciPy, pandas).\nAdvanced object-oriented design and implementation skills, with experience architecting maintainable, extensible codebases.\nDemonstrated experience applying solid software engineering practices, such as, clean code, testing discipline, documentation, and code review, to build scalable and secure software.\nAdvanced experience with Git or an equivalent modern version control system.\nAbility to work independently on ambiguous or complex problems, exercising sound technical judgment, taking initiative to develop effective solutions, and documenting designs.\nAdvanced written and verbal communication skills, necessary to effectively collaborate in a team environment and present and explain complex technical information and provide advice to management.\n\nQualifications We Desire\n\nMaster’s degree in computer science, computer engineering, or a related technical field.\nExperience with C/C++, particularly for performance-critical or legacy scientific code integration.\nFamiliarity with scientific/numerical modeling concepts (e.g., differential equations, discrete-event simulation, or physics-based simulation).\nExperience with HPC job schedulers (e.g., Slurm) or parallel/distributed computing.\nExperience with data visualization frameworks (e.g., Matplotlib, Plotly, VTK, ParaView).\nExperience with CI/CD pipelines and containerized deployment (Jenkins, Docker, Kubernetes).\nExperience working in a national lab, DOE, or other regulated/classified research environment.\n\nPay Range\n\n$175,530 - $222,564 Annually\n\nThis 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.\n\nAdditional Information\n\n#LI-Hybrid\n\nPosition Information\n\nThis is a Career Indefinite or At Will appointment. Lab employees and external candidates may be considered for this position.\n\nWhy Lawrence Livermore National Laboratory?\n\nIncluded in 2026 Best Places to Work by Glassdoor!\nFlexible Benefits Package\n401(k)\nRelocation Assistance\nEducation Reimbursement Program\nFlexible schedules (*depending on project needs)\nOur values - visit https://www.llnl.gov/inclusion/our-values\n\nSecurity Clearance\n\nThis position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.\n\nPre-Employment Drug Test\n\nExternal 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.\n\nWireless and Medical Devices\n\nPer the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.\n\nIf you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.\n\nHow to identify fake job advertisements\n\nPlease 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.\n\nTo learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf\n\nEqual Employment Opportunity\n\nWe 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.\n\nReasonable Accommodation\n\nOur goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.\n\nCalifornia Privacy Notice\n\nThe California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.","datePosted":"2026-08-22T10:55:36.983Z","dateModified":"2026-08-22T10:55:36.983Z","hiringOrganization":{"@type":"Organization","name":"Lawrence Livermore National Laboratory","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livermore","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9d7bfbf3ce831752e3ada45e"},"url":"https://jobsearcher.com/jobs/9d7bfbf3ce831752e3ada45e"}}