Sandia National Laboratories R&D Computer Science (Early/Mid-Career) in Albuquerque, New Mexico
Are you passionate about your work and dream of utilizing state-of-the-art facilities to explore solutions? Do you want to join a dynamic team that solves significant issues for our nation's security?
The Remote Proliferation Detection Department is seeking a highly motivated computer/data scientist / engineer to join our multidisciplinary team. This position will focus on algorithm research and development of advanced computational methods, models, and software to support national security missions in a variety of high-impact areas within Defense Nuclear Nonproliferation R&D. Technical focus areas will include the following:
- machine learning and deep learning
- data science and analytics
- modeling and simulation
- computational science and mathematics
- algorithm design and development
- scientific and data visualization
This position necessitates various interactions across the laboratory, including collaboration with partner organizations and partner projects. In this role, there is significant opportunity for leadership development, and you will be given the opportunity to engage and collaborate in leadership development activities both independently and as part of the larger team.
It is required you have the ability to support moderate travel.
- You posses an Undergraduate and advanced degree (Masters or PhD) in related STEM discipline; or Bachelor's in relevant STEM discipline, plus 4 years related experience
- Your experience includes proficiency in computer programming languages such as C++or Python
- Experience in software design, engineering and development skills, including familiarity with modern software development practices and tools
- Demonstrated strong analytical and creative problem-solving skills
- Proven performance as a strong individual contributor within a multidisciplinary team, and within the framework of a research project which shows evidence of meeting deadlines
- You possess experience in machine learning, statistical inference, or data mining
- Experience developing data processing and analysis systems
- You have familiarity with optical remote sensing technologies, data, and formats
- You have excellent verbal & written communication and organizational skills
- Proven ability to conduct creative, independent research
- Strong customer-focus and proactive response to questions/requests with demonstrated exceptional follow through
The Remote Proliferation Detection Department (6751) primarily supports the NNSA Office of Defense Nuclear Nonproliferation Research and Development (NA-22) through the execution of nonproliferation technology research, development and demonstration experiments, applications and field exercises.
The department advances national security missions through the development of innovative concepts for active and passive remote sensing systems, signatures, and exploitation. The department maintains a breadth of remote sensing competencies including target phenomenology, scene simulation, radiative transport, optical sensor modeling, spectral & temporal data processing, and algorithm development. This collection of competencies allows the team to develop novel, mission specific sensor concepts as well as assess and predict mission performance. The projects within the group span diverse mission areas including, but not limited to, Nuclear Nonproliferation, Weaponization, USNDS, and DOD. The department is actively engaged in program development and maturing enabling capabilities by transitioning research and development from across the laboratory through the LDRD process.
Sandia has supported nonproliferation and treaty verification R&D since the 1960's with the NNSA and its predecessors. The NA-22 office has responsibility for leading the nonproliferation and treaty verification R&D portfolio. Sandia has a significant role in meeting the needs this program and 6750 is the single program point of contact for NA-22 nonproliferation activities, exclusive of the Space based Nuclear Detonation Detection (SNDD) program.
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 withamazingimpact 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 schedules, generous vacations,strongmedical 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.
Position requires a Department of Energy (DOE) Q-level security clearance.
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 must 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, disability, or veteran status.