Job Description

Company Description
Join us and make YOUR mark on the World!
Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.
We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory's mission.
Pay Range
$138,480 Annually
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. 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.

We have an opening for a Postdoctoral Researcher to perform research in building the core infrastructure for automating the coupling of scientific simulations with Artificial Intelligence (AI). You will work collaboratively with LLNL researchers to design and implement new methodologies that integrate machine learning models and agentic frameworks with large-scale scientific applications targeting heterogeneous, many-core high-performance computing (HPC) systems. This position is in the Center for Applied Scientific Computing (CASC) within the Computing Directorate.
Essential Duties

• Research, design and implement scalable tools combining static and dynamic techniques to couple scientific application execution with machine learning model training and inference.
• Research, design and develop mechanisms to coordinate the execution of multiple asynchronous components to support AI Accelerated applications.
• Explore novel schemes to achieve robust scalable data assimilation, collect and analyze scientific data and machine learning model training.
• Document research by publishing papers in peer-reviewed media and presenting papers within the DOE community and at academic conferences.
• Contribute to group grant proposals, including proposal presentations and preparation of proposals that will provide future research opportunities in the field, and participate in the establishment of future research directions.
• Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to define and carry out the research.
• Perform other duties as assigned.

Qualifications

• Ph.D. in Computer Science or a related field.
• Strong programming skills in C, C++, and Python within Unix/Linux environments.
• Expert in workflows, orchestration, and data assimilation demonstrate through publications and/or software contributions.
• Proficient user of HPC job schedulers (e.g. flux, SLURM) and/or Kubernetes.
• Ability to perform research and development in distributed asynchronous software for many-core high performance computing systems.
• Ability to conduct high quality research and to develop implementations to evaluate the results.
• Proficient verbal and written communication skills necessary to interact in a clear and concise manner, author technical and scientific reports and papers, and deliver scientific presentations.
• Ability to take the initiative and have interpersonal communication skills necessary to work effectively in a dynamic team environment.

Desired Qualifications

• Experience with state-of-the-art machine learning libraries (e.g., PyTorch, Tensorflow).
• Experience with performance analysis tools (e.g. Caliper).
• Ability to perform research and development in software targeting heterogeneous hardware systems such as CPUs and GPUs.

Additional Information
#LI-Hybrid
Position Information
This 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?

• Included in 2025 Best Places to Work by Glassdoor!
• Flexible
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
• Our values - visit

Security Clearance
None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. (This process does not apply to foreign nationals.)
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. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112.
Pre-Employment Drug Test
External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
Wireless and Medical Devices
Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.
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We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
Reasonable Accommodation
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The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed .
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