Just-In-Time Compilation and Optimizations of HPC Applications - Postdoctoral Researcher

We have an opening for a Postdoctoral Researcher to perform research in Just-In-Time (JIT) compilation and optimization methods for HPC applications. You will work collaboratively with LLNL researchers to research and develop new JIT compilation and optimization techniques to maximize the performance of HPC applications, targeting state-of-the-art heterogeneous many-core, GPU-enabled high-performance computing (HPC) systems. This position is in the Center for Applied Scientific Computing (CASC) Division within the Computing Directorate.

In this role you will

• Research, design and implement JIT compilation techniques using state-of-the-art compilation frameworks, i.e., LLVM/MLIR, targeting C/C++ HPC application codes.
• Research, design and develop dynamic JIT optimization methods that reduce the execution time of HPC applications, especially related to GPU execution.
• Research, design and develop techniques for scaling JIT compilation and optimization for large-scale, distributed, multi-node application deployments.
• Document research by publishing papers in peer-reviewed media and presenting papers within the DOE community and at academic conferences.
• 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 related duties as assigned.

• Ph.D. in Computer Science, or a related field.
• Ability to perform research and development in state-of-the-art compilation technologies, as demonstrated by published research articles and/or software.
• Ability to perform research and development in program analysis techniques, including static and dynamic analysis, as demonstrated by published research articles and/or software.
• Ability to conduct high-quality research and develop implementations to evaluate research ideas independently as demonstrated by published research articles.
• Experience in programming in C/C++, Python, and GPU programming models (CUDA/HIP/OpenMP offload) in a Unix/Linux environment.
• 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 compilation tools and technologies, including LLVM, MLIR.
• Experience with parallel programming models, including OpenMP, MPI, CUDA/HIP.

All your information will be kept confidential according to EEO guidelines.

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 2024 Best Places to Work by Glassdoor!
• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
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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.) 

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.

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