Experience:
No experience
Employment Type:
Full time
Posted:
7/26/2017
Job Category:
Engineering
Industry:
Government
R& D Computer Science (Early/Mid-Career)
(This job is no longer available)
Sandia National Laboratories | Albuquerque, NM
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Job Description

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This job posting is at the Member and Senior levels\. Principal level employees may qualify, but will be moved into the Member or Senior level\. Employees applying will be reviewed against the minimum qualifications of the job\.

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We are seeking an Early/Mid\-Career\-level R&D Computer Scientist to join one of our existing development teams working on the design, implementation and deployment of satellite ground station algorithms and software\.

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

• Design, implement and test mostly C\+\+ software and algorithms to process data from satellite sensors\.

• Work both as a team member and individually to translate customer and user needs into custom software solutions that are peer reviewed, tested, verified and integrated and ultimately deployed into operations\.

• Participate in scrum planning meetings, daily stand\-ups, sprint and iteration demos and retrospectives\.

• Identify and implement solutions to software problems with our currently fielded systems\.

• Propose and work on new research ideas that address national security problems\.

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Required:

• Bachelor and Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics with a strong background in Software Engineering\.

• Experience in software development skills and familiarity with modern software development methodologies, practices, and tools\.

• Experience with object\-oriented software development, preferably C\+\+ and Java\.

• Experience with Unix/Linux operating environments\.

Desired:

• Experience with image and signal processing

• Experience with HCI, UI development, and data visualization

• Experience with modern graphics programming \(OpenGL\)

• Relevant experience in scientific/engineering data processing software development\.

• Experience in real\-time signal processing of sensor data\.

• Experience with detection, tracking, and classification algorithms\.

• Data fusion algorithms of large amounts of data

• Machine learning and deep learning algorithms and techniques

• Active DOE/DOD/SCI clearance\.

• A demonstrated ability to develop and communicate ideas and results in oral and written form and to work in a team environment\.

Department Description:

The Decision Support Systems \(DSS\) Business Area is responsible for first\-of\-a\-kind information systems, subsystems, and analysis tools for compelling nonproliferation and national security missions\. We design, build, deploy, and enhance information systems that transform data to information, knowledge, and decisions within the framework of Tasking, Collection, Processing, Exploitation, and Dissemination \(TCPED\)\. These TCPED systems are targeted for a range of applications, including remote sensing systems and satellite communications and control\.

The Real Time Data Processing Department develops software, algorithms, and distributed networked computer systems for real\-time extraction of static and dynamic events from high throughput, high volume data streams\. Skills within the department include signal and image processing; statistical inference; data fusion; image registration; image compression; pattern recognition; radiometric calibration; compressive sensing; human\-computer interfaces; data visualization; and design, implementation, deployment, operational user support, and maintenance of collaborative decision support systems\.

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 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\.

Security Clearance:

Position requires a SCI security clearance\.

Position requires a Department of Energy \(DOE\) granted Q\-level security clearance and SCI clearance, which may require a polygraph test\.

Sandia is required by DOE directive to conduct a pre\-employment drug testing, and a pre\-employment background review that includes personal reference checks, law enforcement record and credit checks, and employment and education verifications\. Applicants for employment must be able to obtain and maintain a DOE Q\-level security clearance, which requires U\.S\. citizenship and SCI clearance, which may require a polygraph test\.

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 the DOE, rendering the inability to perform the duties assigned and resulting in termination of employment\.

EEO Statement:

Equal opportunity employer/Disability/Vet/GLBT

About Sandia National Laboratories

Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin company, for the U.S. Department of Energy. With main facilities in Albuquerque, NM, and Livermore, CA, Sandia has major R&D responsibilities in national security, energy and environmental technologies, and economic competitiveness.