Sandia National Laboratories Postdoctoral Appointee - Graph and Data Analysis for Computational Science in Albuquerque, New Mexico
This postdoctoral position is a temporary position for up to one year, which may be renewed at Sandia's discretion up to five additional years. The PhD must have been conferred within five years prior to employment.
Individuals in postdoctoral positions may bid on regular Sandia positions as internal candidates, and in some cases may be converted to regular career positions during their term if warranted by ongoing operational needs, continuing availability of funds, and satisfactory job performance.
We are seeking a Postdoctoral Appointee to develop graph and data analysis algorithms with applications to computational science to meet the challenges posed by next-generation high-performance computing hardware. Increasingly heterogeneous architectures, reduced on-node memory bandwidth, and ever-growing demands for extreme levels of concurrency are driving the need for novel portable and highly scalable algorithms. In this position, you will have the opportunity to collaborate with a team of enthusiastic, multi-disciplinary researchers to meet national computing needs in energy, climate, and national security.
On any given day, you may be called on to:
- Conduct innovative research and software development in high-performance graph and data analysis algorithms for physics-based and data-centric applications
- Execute and optimize your software on state-of-the-art testbed computers and supercomputers at Sandia and other DOE facilities
- Collaborate with engineers, mathematicians and scientists across many disciplines
- Publish in journals and conferences, and present at national and international venues
- PhD, conferred within 5 years prior to employment, in computer science, mathematics, applied mathematics, or a related engineering or science discipline
- Research experience in graph algorithms, data analysis, or sparse linear algebra kernels
- Experience with object-oriented programming in C++
- Experience in parallel programming on single node architectures (e.g., GPUs, multicore CPUs)
- Technical publications in HPC conferences and journals, and/or released software used by applications
- Communication skills appropriate for participating in multi-disciplinary teams of mathematicians, engineers and computer scientists
- Experience developing and deploying robust parallel software
- Experience working in collaborative software teams
- Experience running and optimizing software on parallel systems
- Experience in architecture-specific optimizations (e.g. multicore CPUs, GPUs, or Xeon Phi)
- Experience in large-scale (e.g. MPI-based) parallel programming
- Experience in performance-portable parallel programming (e.g. Kokkos)
The Center for Computing Research (CCR) at Sandia creates technology and solutions for many of our nation's most demanding national security challenges. The Center's portfolio spans the spectrum from fundamental research to state¿of¿the¿art applications. Software products are essential tools and critical deliverables as a part of our work. CCR plays a large and growing role in the US and international community in the exploration, adaptation, adoption, development, deployment and dissemination of software engineering methodologies and best practices for CSE. As part of CCR, the Scalable Algorithms Department is focused on developing new algorithms and approaches to address the challenges posed by next-generation computing hardware. The department intends to use its expertise in applied mathematics and computational science to address these challenges and help define the future of computing. While mission driven and focused, the Scalable Algorithms Department performs most of its research in the public domain, which affords the top research and development professionals in the department the opportunity to publish in the open literature and effectively team with leaders at other labs, universities, and industry.
Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
- Challenging work withamazingimpact that contributes to security, peace, and freedom worldwide
- Extraordinary co-workers
- Some of the best tools, equipment, and research facilities in the world
- Career advancement and enrichment opportunities
- Flexible schedules, generous vacations,strongmedical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*
World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov
*These benefits vary by job classification.
This position does not currently require a Department of Energy (DOE)-granted security clearance.
Sandia will conduct a pre-employment drug testing, and a pre-employment background review that includes personal reference checks, law enforcement record checks, and employment and education verifications. Further, employees in New Mexico must pass a U.S. Air Force background screen for access to the work site. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause access to be denied or terminated, rendering the inability to perform the duties assigned and resulting in termination of employment.
If hired without a clearance, and one subsequently becomes required or you bid on positions that require a DOE-granted security clearance, a pre-processing background review that includes personal reference checks, law enforcement record and credit checks, and employment and education verifications may be conducted prior to a required federal background investigation. Applicants for DOE-granted security clearances must be U.S. citizens and be able to obtain and maintain the appropriate DOE security clearance as required for the position.
Equal opportunity employer/Disability/Vet/GLBT