Signal and Image Processing Engineer

Company Description

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory’s mission.

Pay Range

$140,700 - $178,392 Annually

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage.  An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.

Job Description

We have an opening for a Signal and Image Processing Engineer within the Computational Engineering Division (CED). You will perform algorithm research, development, and implementation in the signal and image sciences. You will be responsible for the development and implementation of signal and image processing algorithms in software and/or hardware in support of Laboratory programs. Specific topics of interest include, but are not limited to, state estimation and multi target tracking; embedded systems for digital signal processing, image and video processing; machine learning; pattern analysis; control system design and analysis; communications and radar systems; nondestructive evaluation techniques; remote sensing; and similar topics associated with the signal and image sciences.

Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.

In this role, you will

• Contribute to the fulfillment of project and organizational goals by providing input on technical issues for specific projects, recommending improvements, new ideas, and/or modifications as appropriate, and exploring a variety of approaches within generally established methods to support direction and decisions made by self, team, management and/or external customers.
• Research, develop, and apply solutions to moderately complex to complex level problems in the signal and image sciences that are of programmatic interest.
• Work both independently and collaboratively in multidisciplinary team environments to contribute to the accomplishment of research and analysis goals and maintain a close interface with programmatic and project elements to ensure effective teamwork.
• Implement algorithms in software and/or hardware as appropriate and assist with problem formulations and analysis approaches.
• Document, disseminate, present, and explain efforts and results through technical reports and presentations, formal and informal design reviews, published papers in peer-reviewed journals, and attendance at scientific meetings and conferences.
• Participate in field deployments, exercises and sponsor visits.
• Perform other duties as assigned.

Qualifications

• Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship. 
• Master’s degree in electrical engineering, computer science, or a closely related technical field, or the equivalent combination of education and related experience.
• Comprehensive knowledge and broad experience in solving moderately complex to complex level computer vision and image processing problems.
• Proficiency in design and implementation of machine learning algorithms.
• Broad experience coding algorithms in C, C++, Matlab, Python, or similar language used in the signal and image sciences.
• Broad experience in creating Web user interfaces utilizing the Vue.js framework.
• Proficient verbal and written communication skills enabling effective technical presentations and reports, and to successfully collaborate in a team environment.
• Ability to travel to customer locations and participate in field deployments and exercises.

Qualifications We Desire

• PhD in electrical engineering, computer science, or a closely related field.
• Proficient software development skills in the C++, Python, and JavaScript programming languages, with emphasis on Linux/UNIX environments.
• Experience in crafting successful research and development proposals in the signal and image sciences.
• Experience working within a national laboratory environment.

Additional Information

#LI-Hybrid

Position Information

This is a Career Indefinite position, open to Lab employees and external candidates.

Why Lawrence Livermore National Laboratory?

• Included in 2025 Best Places to Work by Glassdoor!
• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
• Our values - visit https://www.llnl.gov/inclusion/our-values

Security Clearance

This position requires a Department of Energy (DOE) Q-level clearance.  If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing.  Q-level clearance requires U.S. citizenship. 

Pre-Employment Drug Test

External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

Wireless and Medical Devices

Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession.  This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.  

If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas.  Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.

How to identify fake job advertisements

Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.

To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

Equal Employment Opportunity

We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. 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, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

Reasonable Accommodation

Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.  If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. 

California Privacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.