Postdoctoral Appointee - Neuromorphic Codesign, Computer Science and Theory (Onsite)

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
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• 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 vacation, 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.

Are you passionate about working in collaboration with a highly interdisciplinary team of engineers, neuroscientists, computer scientists, and mathematicians? Our team is seeking an electrical engineering or computer engineering postdoctoral appointee to conduct research on deploying artificial intelligence and computational neuroscience algorithms onto neuromorphic computing hardware.

On any given day, you may be called on to:

• Co-design novel brain-inspired and machine learning algorithms and novel neuromorphic hardware. This includes analyzing, bench-marking, and modeling neuromorphic architectures
• Find opportunities to improve future neuromorphic architectures targeting new application domains.
• Use neuromorphic sensors (such as event cameras) and neuromorphic processing to target edge computing applications like space and remote systems, autonomous vehicles, and cybersecurity.
• Publish research results in high-quality journals and professional conference venues.

*Due to the nature of the work the selected applicant must be able to work onsite in Albuquerque, New Mexico Relocation will be provided for those that qualify. Relocation will be provided for those that qualify.

• Possess, or are pursuing, a PhD in electrical engineering, computer engineering, computer science, or related field;PhD must be conferred within five years prior to employment.
• Experience in developing and optimizing algorithms to specialized architectures such as neuromorphic hardware, FPGAs, GPUs, or machine learning accelerators.
• Experience in a common programming language such as Python, C++, or MATLAB.
• Able to acquire and maintain a DOE Q-level security clearance.
  

• Interest in neural-inspired and artificial intelligence algorithms (e.g. deep neural networks, spiking neural networks, recurrent neural networks)
• Interest in resource (e.g. SWaP or Data) constrained AI and deep learning methods and techniques. Experience 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 languages (e.g. PyNN, NEST, NEURON).
• Experience in algorithm-hardware co-design.
• Prior research activity, publications in computing or electrical engineering conferences is highly desirable (a list of publications should be included in your CV).

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 heterogeneous architectures based on integrated commodity components, special purpose accelerators, neural architectures and algorithms.

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.

Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. 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.

Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.

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.

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.