Postdoctoral Appointee - Scalable Computing Research
ID: 7088721 (Ref.No. 679364)
Posted: November 10, 2021
Job DescriptionThis posting will be open for application submissions for a minimum of seven (7) calendar days, including the ‘posting date’. Sandia reserves the right to extend the posting date at any time. : Sandia demonstrates its commitment to public safety in the national interest by requiring that all new hires attest to their vaccination status before commencing employment. The requirement also applies to those who are telecommuting and working virtually. Any concerns about the ability to meet this requirement should be directed to HR Solutions at (505) 284-4700. : We are seeking a Postdoctoral Appointee to join our department and conduct scalable computing research! On any given day, you may be called on to: + Perform system-level design experiments on emerging architectures via discrete event simulation + Explore performance, energy-efficiency, and/or resiliency problems in massively parallel software applications + Research questions focus on algorithms/hardware codesign and/or improving network simulation capabilities + Develop fault diagnosis and recovery, risk mitigation, and co-design methods to improve the resilience of exascale platforms and applications experiencing hardware or software anomalies
+ PhD in computer science/engineering, electrical engineering, mechanical engineering, or physical sciences + Demonstrated proficiency with C/C++/Java, parallel programming (MPI/OpenMP/SHMEM), high performance computing, and/or computer/network architectures
+ Excellent written and verbal communication skills + Ability to work in a collective research environment on problems in a variety of domains + Expertise in one or more of the following areas: distributed algorithms, fault-tolerance, resilience, compilers, formal methods, discrete event simulation, network protocols/topologies, HPC system performance modeling and analysis, HPC system resilience, concurrency and parallelism theory, large-scale concurrent algorithms, and/or scalable programming models research and development + Experience developing new task-based programming and execution model abstractions for scaling a broad range of applications on emerging architectures + Proficiency in Python, CMAKE, and/or devops + Background in solving practical problems in science and engineering that involve encounters with real-world data + Proficiency in solving problems, prioritizing work, and/or decision making + Familiarity with the processes for obtaining and managing research funding, including building project teams, writing grants and progress reports, and/or working with sponsors + Evidence of professional service to the community, such as service on diversity and inclusion committees, program committees, workshop organization, and/or editorial work + Experience with data science, machine learning, statistical methods and/or uncertainty quantification techniques
The Scalable Modeling and Analysis Department is home to a diverse community of researchers and engineers conducting research and development on massively scalable modeling and analysis systems for scientific computing, engineering sciences, and complex systems. Our team has broad, multi-disciplinary interests, spanning diverse research areas and solving computational science problems important to Sandia’s mission. Our computer science research spans concurrency and parallelism, distributed systems, programming languages, compilers, advanced architectures, data science and machine learning.
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 with amazing impact 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 work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)• Generous vacations, strong medical 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) security clearance. Sandia will conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Furthermore, employees in New Mexico need to pass a U.S. Air Force background screen for access to Kirtland Air Force Base. 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, resulting in the inability to perform the duties assigned and subsequent termination of employment. If hired without a clearance and it subsequently becomes necessary to obtain and maintain one for the position, or you bid on positions that require a clearance, a pre-processing background review may be conducted prior to a required federal background investigation. Applicants for a DOE security clearance need to be U.S. citizens. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. Members of the workforce (MOWs) hired at Sandia who require uncleared access for greater than 179 days during their employment, are required to go through the Uncleared Personal Identity Verification (UPIV) process. Access includes physical and/or cyber (logical) access, as well as remote access to any NNSA information technology (IT) systems. UPIV requirements are not applicable to individuals who require a DOE personnel security clearance for the performance of their SNL employment or to foreign nationals. The UPIV process will include the completion of a USAccess Enrollment, SF-85 (Questionnaire for Non-Sensitive Positions) and OF-306 (Declaration of for Federal Employment). An unfavorable UPIV determination will result in immediate retrieval of the SNL issued badge, removal of cyber (logical) access and/or removal from SNL subcontract. All MOWs may appeal the unfavorable UPIV determination to DOE/NNSA immediately. If the appeal is unsuccessful, the MOW may try to go through the UPIV process one year after the decision date.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law. : 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.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.