This 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.
NNSA Requirements for MedPEDs
If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.
$101,400 – $201,400
- The salary range is estimated, and the actual salary will be determined after consideration of the selected candidate’s experience and qualifications, and application of any approved geographic salary differential.
What Your Job Will Be Like
We are seeking a computer science researcher with a real passion for developing scalable algorithms and software to meet the challenges posed by next-generation high-performance computing systems and applications. Are you passionate in an opportunity to combine high-performance computing with data analysis, graph algorithms, machine learning, or numerical solvers to address national computing needs in energy, climate, and national security? As a valued member of our all-star team, you will collaborate with a team of enthusiastic, multi-disciplinary researchers to explore pioneering architectures and programming models in the dynamic field of computing.
On any given day, you may be called on to:
- Conduct creative research and develop software to improve the performance of physics-based and data-centric applications
- Implement and optimize your software on powerful 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
- Help us define the future of computing
Qualifications We Require
- Ph.D. in computer science, mathematics, applied mathematics, or a related engineering or science field
- Research experience in one of the following areas: parallel algorithms, programming models, sparse linear algebra/solvers
- Parallel computing experience
- Proven track record developing software in the C++ language, including the use of templates
- Technical publications in HPC conferences and journals, and/or released software used by applications
- Experience with Kokkos
- Experience developing large parallel scientific computing libraries (e.g., Trilinos, PETSc)
Qualifications We Desire
- Communication skills appropriate for participating in multi-disciplinary teams of mathematicians, engineers, and computer scientists
- Experience working in collaborative software teams
- Experience contributing to large and long-lived applications or libraries using software quality engineering practices, processes, and tools
- Experience utilizing high-concurrency architectures such as AMD/Intel/NVIDIA GPUs for thread-scalable parallel algorithms
- Experience developing highly concurrent numerical linear algebra or graph kernels for GPUs
About Our Team
The Center for Computing Research (CCR) at Sandia crafts 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 the international community in the exploration, adaptation, adoption, development, deployment, and dissemination of software engineering methodologies and innovations for computational science and engineering.
As part of CCR, the Scalable Algorithms Department develops new algorithms and approaches to address challenges in next-generation computing hardware. The department uses 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 allows the R&D professionals in the department to publish in the open literature and effectively team with leaders at other labs, universities, and industries.
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.