Lawrence Livermore National Laboratory

Signal and Image Processing Engineer - NIF

Location:  Livermore, CA
Category:  Science & Engineering
Organization:  Engineering
Posting Requirement:  External w/ US Citizenship
Job ID: 103776
Job Code: Science & Engineering MTS 2 (SES.2) / Science & Engineering MTS 3 (SES.3)
Date Posted: May 15 2018

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Science and Technology on a Mission!

For more than 60 years, the Lawrence Livermore National Laboratory (LLNL) has applied science and technology to make the world a safer place.

We have an opening for a Signal and Image Processing Engineer to join the NIF Target Diagnostics Analysis Group. The National Ignition Facility (NIF) is the most energetic laser system in the world. It provides the scientific community with an unprecedented capability for studying materials at extreme pressures, temperatures, and densities and intends to be the first fusion facility to demonstrate ignition with energy gain. You will develop innovative signal processing production level software.  You will be responsible for maintaining a large code base for the automated analysis of six unique target diagnostic instruments, as well as for developing new algorithms, software, and automated support software. This position is in the Computational Engineering Division (CED), within the Engineering Directorate.

This position will be filled at either the SES.2 or SES.3 level depending on your qualifications. Additional job responsibilities (outlined below) will be assigned if you are selected at the higher level.

Essential Duties
- Research and develop robust signal processing algorithms to provide automated analysis for the NIF’s target diagnostics. Signal processing technologies include inverse problems, reconstructions, forward fitting, and image processing.
- Develop reliable software framework for automated analysis including well-documented modular code development, integration and quality assurance testing, data archiving and access, and robust utility algorithms.
- Test and maintain analysis code base with key responsibility for six unique diagnostic analyses; includes algorithm updates as needed for diagnostic hardware changes, off normal data, and calibration data maintenance.
- Present the results of algorithm research and development to internal and external audiences in formal presentations and written documents.
- Maintain a close interface with programmatic and project elements to ensure effective teamwork.
- Perform other duties as assigned.
In Addition at the SES.3 Level
- Research and develop complex, advanced signal and image processing algorithms that exceed NIF diagnostic scientist requirements.
- Act as the key interface for the analysis team to several diagnostic scientists, including defining requirements for new modules, developing a robust calibration maintenance plan, and exerting significant influence over the development of new analysis.

- Master’s degree in Electrical Engineering, Applied Mathematics, Computer Science or related field, or equivalent combination of education and related experience.
- Comprehensive knowledge in one or more of the following areas: digital signal processing, image processing, pattern recognition, control theory, communications systems, radar systems nondestructive evaluation, remote sensing, radiation detection, or automated software development.
- Demonstrated software engineering skills and some experience with mathematical languages and production level coding standards.
- Experience working in a multidisciplinary team environment that includes scientists, engineers, and computer scientists.
- Demonstrated ability to identify, define, and solve multidisciplinary problems in a timely and robust manner.
- Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information.
In Addition at the SES.3 Level
- Significant experience in the design and development of automated signal and image processing software.
- Advanced knowledge and significant experience in one or more of the following areas: digital signal processing, image processing, pattern recognition, control theory, communications systems, radar systems, nondestructive evaluation, remote sensing, radiation detection, or automated software development.
- Advanced interpersonal, verbal and written communication skills to effectively collaborate in a team environment and present and explain technical information, and provide advice to management.

Desired Qualifications
- PhD in Electrical Engineering, Applied Mathematics, or a related field.
- Signal processing expertise in the areas of inverse problems, forward fitting, and reconstruction.
- Demonstrated project management experience, including project planning and presentation.

Pre-Employment Drug Test:  External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test.

Security Clearance:  This position requires either no security clearance, or a Department of Energy (DOE) L-level or Q-level clearance depending on the location of the assignment.

If you are selected and a security clearance is required, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. In addition, all L or Q cleared employees are subject to random drug testing.  L and Q-level clearances require U.S. citizenship.  If you hold multiple citizenships (U.S. and another country), you may be required to renounce your non-U.S. citizenship before a DOE L or Q clearance will be processed/granted.

Note:   This is a Career Indefinite position. Lab employees and external candidates may be considered for this position.

About Us

Lawrence Livermore National Laboratory (LLNL), located in the San Francisco Bay Area (East Bay), is a premier applied science laboratory that is part of the National Nuclear Security Administration (NNSA) within the Department of Energy (DOE). LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance. The Laboratory has a current annual budget of about $1.8 billion, employing approximately 6,500 employees.

LLNL is an affirmative action/ equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, protected veteran status, age, citizenship, or any other characteristic protected by law.

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