Lawrence Livermore National Laboratory (LLNL) is looking to perform research in building the core infrastructure for automating the coupling of scientific simulations with Artificial Intelligence (AI).
Requirements
- 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.
- Experience with state-of-the-art machine learning libraries (e.g., PyTorch, Tensorflow).
- Experience with performance analysis tools (e.g. Caliper).
Responsibilities
- 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.
Other
- Ph.D. in Computer Science or a related field.
- 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.
- 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.
- 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.
