Intern - Rad Hard CMOS Technology - Technical Undergraduate Co-op

What Your Job Will Be Like:

We are seeking an undergraduate student to join our dynamic team to develop machine learning algorithms that can operate reliably in complex environments; this implies they are robust to various sources of noise, errors and faults. Our team is developing analog in-memory computing hardware that can efficiently process these algorithms on power-constrained embedded systems in said environments. The algorithm must be robust to errors that may arise from carrying out the computation in the analog domain, as well as noise that may be present in the natural or artificial environment and is fed into the algorithm as sensor inputs. You will work on developing techniques to instill these algorithms with built-in resilience to errors in general, as well as the specific types of error that arise from our hardware and applications. These techniques may include new data augmentation techniques, such as the generation of synthetic training data using the distilled knowledge from large neural network models. You may also evaluate the performance of the developed algorithms using our emulation tools for the novel analog hardware, and potentially explore co-design strategies between the algorithm, hardware, and mapping schemes to maximize resilience.

On any given day, you may be asked to:

• Develop or refine machine learning algorithms

• Tailor algorithms to mission environments or hardware

• Apply state-of-the-art methods in the machine learning literature to improve algorithms

• Use simulation tools to evaluate algorithm resilience on exploratory hardware

• Conduct innovative research, publish and present results in refereed journals and conferences

• Develop and pursue new opportunities in areas that support Sandia Mission activities

• Work in multidisciplinary teams consisting of electrical engineers, computer scientists, physicists, materials scientists, and mathematicians

Qualifications We Require:

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

• Undergraduate student at a related accredited university

• Enrolled full time in the term immediately preceding the internship

• Registration with the university's co-op office

• Minimum cumulative GPA of 3.0/4.0

• Ability to work up to 40 hours per week

• U.S. citizens, legal permanent residents, asylees or refugees in the U.S.

Qualifications We Desire:

• Major in Electrical Engineering, Computer Science, Mathematics, Statistics, or other related technical field.

• Experience with machine learning algorithms or data science

• Experience with programming languages such as Python or C+

• + Experience or interest in developing new software, including working with version control software like Git

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 Microsystems Science and Technology Center 1700 is a large and diverse center with a span of activity from fundamental research to the delivery of high-reliability products to Nuclear Weapons and other customers. At the core of the center is the MESA complex, consisting of both silicon and III-V compound semiconductor foundries. In addition, Center 1700 operates over 100 light laboratories. Research and development activities include radiation effects in semiconductors, chemical and biological sensors, atomic physics-based microsystems, microelectromechanical systems, optoelectronic and photonic devices, RF process and device technology, biomicrosystems microsystems for energy, and other technologies.

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 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.

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: 691803