What Your Job Will Be Like:

　　We are seeking highly motivated graduate intern candidates to explore, study and develop machine learning and neuromorphic methods for solving complex real-world problems. In the Cognitive and Emerging Computing department, we perform high-level R&D in machine learning and spiking neural network solutions for a variety of application domains from across the larger laboratories complex. Working from Fundamental Theory through to Practical Machine Learning we work to increase capability, understanding and efficiency in domains such as space remote sensing, high energy physics, scientific computing and natural language/document processing.

　　The successful candidate will join our fun and interdisciplinary team of computer scientists, mathematicians, engineers and neuroscientists and will work closely alongside an assigned mentor. Sandia has fantastic opportunities for internal career advancement and to learn from and collaborate with a large number of experienced scientists and engineers.

　　A strong basis in continuous learning and lifelong learning is required. Experience or interest in neuromorphic or event-based systems and processors is a benefit. Experience in bio-inspired machine learning algorithms is a benefit.

　　We work on a varied set of problems. Example responsibilities could include:

　　Implement and benchmark machine learning or neuromorphic algorithmsContribute to high-quality journals and competitive conference venuesProgram and test algorithms on neuromorphic and AI accelerator hardwareExplore deployment characteristic using both Sandia-developed and open-sourced toolsEngage with the community for conferences, workshops, proposals and outreachDevelop and support open-source research software packages

　　We value a diverse team. We encourage people of all racial/ethnic identities, all gender identities, veterans, and individuals with disabilities to apply.

　　Qualifications We Require:

　　You bring the confidence and skills to be eligible for the job by meeting these minimum requirements:

　　Earned bachelor's degreeCurrently attending and enrolled full time in an accredited science, engineering, or math graduate programMinimum cumulative GPA of 3.0/4.0Ability to work up to 30 hours per week during the academic year, and up to 40 hours per week during the summerAbility to independently obtain authorization to work lawfully in the US for Sandia National Laboratories. Sandia will not sponsor work authorization for this position.

　　Qualifications We Desire:

　　Interest in developing bio-inspired and cutting-edge machine learning algorithms or in the deployment and application of such algorithmsInterest with specialized computational architectures such as GPUs, FPGAs, neuromorphic processors, or machine learning accelerators.Experience with neural network modeling languages (PyTorch, Tensorflow, Keras, etc) or neural modeling languagesPrior research peer-reviewed publications are highly desirableDesire to work as part of a collaborative, multi-disciplinary teamCurrent graduate student in Computer Science, Mathematics, Statistics, Physics, Computer Engineering or a relevant fieldExperience with theoretical or practical aspects of machine learning, especially continuous learning and lifelong learning methodsExperience in a common programming language such as Python or C++

　　Posting Duration:

　　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.

　　About Our Team:

　　The department of Cognitive & Emerging Computing (Org. 01421) pursues foundational research and development of:- emerging general-purpose energy-efficient and beyond-Moore computing paradigms;- cognitive, brain-inspired and neuromorphic computing, human-machine interface technologies;- advanced heterogenous architectures based on integrated commodity components, special purpose accelerators, neural architectures and algorithms.

　　About Sandia:

　　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 worldwideExtraordinary co-workersSome of the best tools, equipment, and research facilities in the worldCareer advancement and enrichment opportunitiesFlexible 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.govThese benefits vary by job classification.

　　Security Clearance:

　　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.

　　EEO:

　　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.

　　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.

　　Job ID: 691269