Science and Technology on a Mission!
For more than 60 years, the Lawrence Livermore National Laboratory (LLNL) has applied science and technology to make the world a safer place.
We have an opening for a Postdoctoral Researcher to perform research in the area of networking performance analysis and optimization for supercomputers and high performance computing (HPC) clusters. You will work collaboratively with Livermore Computing personnel and other researchers to better understand the network performance of our supercomputers and determine how to improve them. The goal of this work is to understand the network performance bottlenecks in our HPC systems as well as inform future procurements by developing more rigorous techniques to optimize network design. This position is in the Center for Applied Scientific Computing (CASC) Division within the Computation Directorate.
* Research better ways to optimize network system design, by using experiments, simulations and system monitoring data as appropriate to gain insights into network utilization on current systems and to inform procurement decisions.
* Evaluate the impact of features in new and novel hardware deployments on production workloads.
* Apply modern analysis techniques, such as machine learning, uncertainty quantification, and statistical techniques to data collected.
* Interact with application teams to ensure that experimental use cases reflect realistic workloads.
* Document research by publishing papers in peer-reviewed media and presenting papers within the DOE community and at 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.
* Recent PhD in Computer Science or a related field.
* Experience in parallel computing or related field.
* Research experience in networking performance analysis and/or design.
* Experience using one or more data analysis techniques, such as statistical methods, machine learning, and uncertainty quantification to draw conclusions from real work data.
* Experience performing independent research.
* Understanding of the performance challenges that occur in multi-tenant networked systems.
* Experience in the identification of complex problems and solutions in a creative and timely manner.
* Proficient verbal and written communication skills necessary to interact with a multi-disciplinary research team, author technical and scientific reports and papers, and deliver scientific presentations.
* Knowledge of C/C++, Python, and Jupyter notebooks.
* Understanding of network performance counters and their limitations.
* Knowledge of parallel programming models such as MPI, OpenMP, and CUDA, and experience with scientific computing applications.
Pre-Employment Drug Test: External applicant(s) selected for this position will be required to 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.
Security Clearance: This 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. In addition, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. If you hold multiple citizenships (U.S. and another country), you may be required to renounce your non-U.S. citizenship before a DOE L or Q clearance will be processed/granted.
Note: This is a one year Postdoctoral appointment with the possibility of extension to a maximum of three years. Eligible candidates are recent PhDs within five years of the month of the degree award at time of hire date.
Lawrence Livermore National Laboratory (LLNL), located in the San Francisco Bay Area (East Bay), is a premier applied science laboratory that is part of the National Nuclear Security Administration (NNSA) within the Department of Energy (DOE). LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance. The Laboratory has a current annual budget of about $2.1 billion, employing approximately 6,800 employees.
LLNL is an affirmative action/ equal opportunity employer. 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, protected veteran status, age, citizenship, or any other characteristic protected by law.